Weimin He

4.5k total citations
11 papers, 1.2k citations indexed

About

Weimin He is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Weimin He has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Weimin He's work include Peroxisome Proliferator-Activated Receptors (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and RNA and protein synthesis mechanisms (2 papers). Weimin He is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and RNA and protein synthesis mechanisms (2 papers). Weimin He collaborates with scholars based in United States, South Korea and United Arab Emirates. Weimin He's co-authors include Thomas A. Gustafson, Thomas J. O’Neill, Yaacov Barak, Ronald M. Evans, Jerrold M. Olefsky, Jason J. Wilkes, Jamie Le, Peter Olson, Gautam Bandyopadhyay and Andrea L. Hevener and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Weimin He

11 papers receiving 1.2k citations

Peers

Weimin He

PHYSI

SURGE

EPIDE

EDM

Mounib Elchebly Canada

Yasuhisa Hino Japan

Josefin Skogsberg Sweden

Santiago Vernia Spain

Brian E. Lavan United States

D D Moore United States

Nicolas Coant United States

Jennifer Wen United States

Tsugumichi Saito Japan

Yutaka Kitami Japan

Mounib Elchebly Canada

Weimin He

643 ×0.7

251 ×0.6

PHYSI

311 ×1.9

SURGE

164 ×1.1

EPIDE

167 ×1.1

EDM

Citations per year, relative to Weimin He Weimin He (= 1×) peers Mounib Elchebly

Countries citing papers authored by Weimin He

Since Specialization

Citations

This map shows the geographic impact of Weimin He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weimin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weimin He more than expected).

Fields of papers citing papers by Weimin He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weimin He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weimin He. The network helps show where Weimin He may publish in the future.

Co-authorship network of co-authors of Weimin He

This figure shows the co-authorship network connecting the top 25 collaborators of Weimin He. A scholar is included among the top collaborators of Weimin He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weimin He. Weimin He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Leduc, Magalie S., Hsiao‐Tuan Chao, Chunjing Qu, et al.. (2017). Clinical and molecular characterization of de novo loss of function variants in HNRNPU. American Journal of Medical Genetics Part A. 173(10). 2680–2689. 30 indexed citations

Meng, Linyan, Taraka Donti, Fan Xia, et al.. (2016). Homozygous variants in pyrroline‐5‐carboxylate reductase 2 (PYCR2) in patients with progressive microcephaly and hypomyelinating leukodystrophy. American Journal of Medical Genetics Part A. 173(2). 460–470. 15 indexed citations

Duis, Jessica, Shannon L. Dean, Carolyn Applegate, et al.. (2016). KIF5A mutations cause an infantile onset phenotype including severe myoclonus with evidence of mitochondrial dysfunction. Annals of Neurology. 80(4). 633–637. 39 indexed citations

Atwal, Paldeep S., Alicia Braxton, Weimin He, et al.. (2015). Novel X‐linked syndrome of cardiac valvulopathy, keloid scarring, and reduced joint mobility due to filamin A substitution G1576R. American Journal of Medical Genetics Part A. 170(4). 891–895. 17 indexed citations

Monk, Jennifer M., Wooki Kim, Evelyn Callaway, et al.. (2011). Immunomodulatory action of dietary fish oil and targeted deletion of intestinal epithelial cell PPARδ in inflammation-induced colon carcinogenesis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 302(1). G153–G167. 18 indexed citations

Zhang, Yi, et al.. (2010). [Abnormal T cell autoimmunity against GAD65 in LADA patients].. PubMed. 90(28). 1963–5. 7 indexed citations

He, Weimin. (2006). RNA SILENCING: METHODS AND PROTOCOLS. In Vitro Cellular & Developmental Biology - Animal. 42(5). 168–168. 2 indexed citations

Hevener, Andrea L., Weimin He, Yaacov Barak, et al.. (2003). Muscle-specific Pparg deletion causes insulin resistance. Nature Medicine. 9(12). 1491–1497. 412 indexed citations

Chawla, Ajay, Chih‐Hao Lee, Yaacov Barak, et al.. (2003). PPARδ is a very low-density lipoprotein sensor in macrophages. Proceedings of the National Academy of Sciences. 100(3). 1268–1273. 241 indexed citations

10.

He, Weimin, et al.. (1996). Interaction of Insulin Receptor Substrate-2 (IRS-2) with the Insulin and Insulin-like Growth Factor I Receptors. Journal of Biological Chemistry. 271(20). 11641–11645. 111 indexed citations

11.

Gustafson, Thomas A., et al.. (1995). Phosphotyrosine-Dependent Interaction of SHC and Insulin Receptor Substrate 1 with the NPEY Motif of the Insulin Receptor via a Novel Non-SH2 Domain. Molecular and Cellular Biology. 15(5). 2500–2508. 322 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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