Wei-Gen Li

645 total citations
8 papers, 537 citations indexed

About

Wei-Gen Li is a scholar working on Immunology, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei-Gen Li has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Pharmacology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei-Gen Li's work include Nitric Oxide and Endothelin Effects (2 papers), Immune Response and Inflammation (2 papers) and Inflammatory mediators and NSAID effects (2 papers). Wei-Gen Li is often cited by papers focused on Nitric Oxide and Endothelin Effects (2 papers), Immune Response and Inflammation (2 papers) and Inflammatory mediators and NSAID effects (2 papers). Wei-Gen Li collaborates with scholars based in United States, Bangladesh and France. Wei-Gen Li's co-authors include Neal L. Weintraub, Francis J. Miller, Lynn L. Stoll, Papri Chatterjee, Arthur A. Spector, Larry W. Oberley, Gerene M. Denning, Michael R. Brown, Ralf M. Zwacka and Xiang Fang and has published in prestigious journals such as The Journal of Immunology, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Wei-Gen Li

8 papers receiving 520 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei-Gen Li United States 8 185 184 128 78 56 8 537
Mathias M. Mueller Austria 11 165 0.9× 97 0.5× 92 0.7× 71 0.9× 66 1.2× 16 582
Lucie Duluc France 14 258 1.4× 190 1.0× 153 1.2× 85 1.1× 79 1.4× 18 640
Sisi Marcondes Brazil 12 165 0.9× 116 0.6× 215 1.7× 61 0.8× 29 0.5× 25 595
D. Fletcher United States 9 159 0.9× 155 0.8× 125 1.0× 42 0.5× 73 1.3× 17 555
Graciela Gamez United States 7 228 1.2× 103 0.6× 180 1.4× 162 2.1× 32 0.6× 9 569
Michael O’Connor United States 8 197 1.1× 125 0.7× 71 0.6× 46 0.6× 67 1.2× 10 496
Audrey Swiader France 12 297 1.6× 137 0.7× 71 0.6× 117 1.5× 65 1.2× 18 668
K. Rühling Germany 10 151 0.8× 176 1.0× 134 1.0× 83 1.1× 42 0.8× 20 629
Tadashi Seno Japan 6 136 0.7× 93 0.5× 95 0.7× 38 0.5× 24 0.4× 6 430
Melissa M. Anderson United States 7 225 1.2× 336 1.8× 215 1.7× 58 0.7× 16 0.3× 8 829

Countries citing papers authored by Wei-Gen Li

Since Specialization
Citations

This map shows the geographic impact of Wei-Gen Li'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 Wei-Gen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Gen Li more than expected).

Fields of papers citing papers by Wei-Gen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Gen Li. 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 Wei-Gen Li. The network helps show where Wei-Gen Li may publish in the future.

Co-authorship network of co-authors of Wei-Gen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Gen Li. A scholar is included among the top collaborators of Wei-Gen Li 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 Wei-Gen Li. Wei-Gen Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Stoll, Lynn L., Gerene M. Denning, Wei-Gen Li, et al.. (2004). Regulation of Endotoxin-Induced Proinflammatory Activation in Human Coronary Artery Cells: Expression of Functional Membrane-Bound CD14 by Human Coronary Artery Smooth Muscle Cells. The Journal of Immunology. 173(2). 1336–1343. 77 indexed citations
2.
Nerheim, Pamela, Jeffery L. Meier, Mohammad A. Vasef, et al.. (2004). Enhanced Cytomegalovirus Infection in Atherosclerotic Human Blood Vessels. American Journal Of Pathology. 164(2). 589–600. 43 indexed citations
3.
Li, Wei-Gen, Lynn L. Stoll, Francis J. Miller, et al.. (2003). Activation of NAD(P)H oxidase by lipid hydroperoxides: mechanism of oxidant-mediated smooth muscle cytotoxicity. Free Radical Biology and Medicine. 34(7). 937–946. 35 indexed citations
4.
Stoll, Lynn L., Wei-Gen Li, Gerene M. Denning, et al.. (2003). Low-Level Endotoxin Induces Potent Inflammatory Activation of Human Blood Vessels. Arteriosclerosis Thrombosis and Vascular Biology. 23(9). 1576–1582. 97 indexed citations
5.
Li, Wei-Gen, et al.. (2002). Antioxidant therapy for atherosclerotic vascular disease: the promise and the pitfalls. American Journal of Physiology-Heart and Circulatory Physiology. 282(3). H797–H802. 31 indexed citations
6.
Li, Wei-Gen, Lawrence J. Coppey, Robert M. Weiss, & Helgi Oskarsson. (2001). Antioxidant Therapy Attenuates JNK Activation and Apoptosis in the Remote Noninfarcted Myocardium after Large Myocardial Infarction. Biochemical and Biophysical Research Communications. 280(1). 353–357. 32 indexed citations
7.
Li, Wei-Gen, Francis J. Miller, Michael R. Brown, et al.. (2000). Enhanced H 2 O 2 -Induced Cytotoxicity in “Epithelioid” Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 20(6). 1473–1479. 34 indexed citations
8.
Brown, Michael R., Francis J. Miller, Wei-Gen Li, et al.. (1999). Overexpression of Human Catalase Inhibits Proliferation and Promotes Apoptosis in Vascular Smooth Muscle Cells. Circulation Research. 85(6). 524–533. 188 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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