In Brazil, the CNPq (National Council for Scientific and Technological Development) provides grants, funds and fellowships to productive scientists to support their investigations. They are ranked and categorized into four hierarchical levels ranging from PQ 1A (the highest) to PQ 1D (the lowest). Few studies, however, report and analyse scientific productivity in different sub-fields of Biomedical Sciences (BS), e.g., Biochemistry, Pharmacology, Biophysics and Physiology. In fact, systematic comparisons of productivity among the PQ 1 categories within the above sub-fields are lacking in the literature. Here, the scientific productivity of 323 investigators receiving PQ 1 fellowships (A to D levels) in these sub-fields of BS was investigated. The Scopus database was used to compile the total number of articles, citations, h-index values and authorship positions (first-, co- or last-listed author) in the most cited papers by researchers granted CNPq fellowships. We found that researchers from Pharmacology had the best performance for all of the parameters analysed, followed by those in Biochemistry. There was great variability in scientific productivity within the PQ 1A level in all of the sub-fields of BS, but not within the other levels (1B, 1C and 1D). Analysis of the most cited papers of PQ 1(A-D) researchers in Pharmacology revealed that the citations of researchers in the 1C and 1D levels were associated with publications with their senior supervisors, whereas those in the 1B level were less connected with their supervisors in comparison to those in 1A. Taken together, these findings suggest that the scientific performance of PQ 1A researchers in BS is not homogenous. In our opinion, parameters such as the most cited papers without the involvement of Ph.D. and/or post-doctoral supervisors should be used to make decisions regarding any given researcher's fellowship award level.
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http://dx.doi.org/10.1007/s11948-018-0025-5 | DOI Listing |
Clin Transl Med
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Division of Infectious Diseases, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Physiol Plant
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College of Life Sciences/ College of Agriculture, Yangtze University, Jingzhou, China.
Rac/Rop proteins, a kind of unique small GTPases in plants, play crucial roles in plant growth and development and in response to abiotic and biotic stresses. However, it is poorly understood whether cotton Rac/Rop protein genes are involved in mediating cotton resistance to Verticillium dahliae. Here, we focused on the function and mechanism of cotton Rac/Rop gene GhRac9 in the defense response to Verticillium dahliae infection.
View Article and Find Full Text PDFInflammation
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The Key Laboratory of Spine and Spinal Cord Disease of Jiangxi Province, Nanchang, 330006, China.
Inflammatory bone resorption represents a pathological condition marked by an increase in bone loss, commonly associated with chronic inflammatory conditions such as rheumatoid arthritis and periodontitis. Current therapies primarily focus on anti-inflammatory drugs and bisphosphonates; however, these treatments are limited due to side effects, inadequate efficacy, and unpredictable long-term complications. Kurarinone (KR), a bioactive compound isolated from the traditional Chinese herb Sophora flavescens, exhibits a range of biological activities, including anti-inflammatory, anticancer, and cardiovascular protective effects.
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Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
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January 2025
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Analysis of the symmetry of the brain hemispheres at the level of individual structures and dominant tissue features has been the subject of research for many years in the context of improving the effectiveness of imaging methods for the diagnosis of brain tumor, stroke, and Alzheimer's disease, among others. One useful approach is to reliably determine the midline of the brain, which allows comparative analysis of the hemispheres and uncovers information on symmetry/asymmetry in the relevant planes of, for example, CT scans. Therefore, an effective method that is robust to various geometric deformations, artifacts, varying noise characteristics, and natural anatomical variability is sought.
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