Wen‐Jun Shen
Impact in
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis
- Physiology top 1%
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 11
- Metabolism, Diabetes, and Cancer 8
- Biochemistry 36
- Lipid metabolism and biosynthesis 35
- Co-authors
- Fredric B. Kraemer (78 shared papers)Salman Azhar (44 shared papers)Shailja Patel (21 shared papers)Jie Hu (5 shared papers)Andrew S. Greenberg (5 shared papers)Zhonghua Zhang (1 shared paper)Stefanie Bittner (12 shared papers)Zhigang Hu (12 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Journal of Lipid Research (8 papers)PLoS ONE (5 papers)Molecular and Cellular Endocrinology (5 papers)Biochemistry (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wen‐Jun Shen
200 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 165
- Biochemistry 1.4k
- Physiology 1.5k
- Cancer Research 742
- Molecular Biology 2.9k
- Endocrinology, Diabetes and Metabolism 600
Countries citing papers authored by Wen‐Jun Shen
This map shows the geographic impact of Wen‐Jun Shen'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 Wen‐Jun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Jun Shen more than expected).
Fields of papers citing papers by Wen‐Jun Shen
This network shows the impact of papers produced by Wen‐Jun Shen. 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 Wen‐Jun Shen. The network helps show where Wen‐Jun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Jun Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 401 | |
| 2 | 2010 | 387 | |
| 3 | 2010 | 317 | |
| 4 | 2017 | 307 | |
| 5 | 2001 | 289 | |
| 6 | 1989 | 282 | |
| 7 | 2006 | 236 | |
| 8 | 2017 | 209 | |
| 9 | 1999 | 172 | |
| 10 | 2015 | 172 | |
| 11 | 2017 | 150 | |
| 12 | 2003 | 138 | |
| 13 | 2015 | 136 | |
| 14 | 2011 | 120 | |
| 15 | 1989 | 105 | |
| 16 | 2009 | 104 | |
| 17 | 2018 | 104 | |
| 18 | 2015 | 102 | |
| 19 | 2012 | 97 | |
| 20 | 2012 | 97 |
About Wen‐Jun Shen
Wen‐Jun Shen is a scholar working on Molecular Biology, Biochemistry, Surgery, Physiology and Epidemiology, having authored 208 papers that have together received 7.3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (35 papers), Adipose Tissue and Metabolism (31 papers), Cholesterol and Lipid Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Soft Robotics and Applications (10 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Hormonal Regulation and Hypertension (9 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Biochemistry (1.4k citations), Physiology (1.5k citations), Cancer Research (742 citations), Molecular Biology (2.9k citations) and Endocrinology, Diabetes and Metabolism (600 citations). Wen‐Jun Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fredric B. Kraemer, Salman Azhar, Shailja Patel, Jie Hu, Andrew S. Greenberg, Zhonghua Zhang, Stefanie Bittner, Zhigang Hu, Ruo Yuan and Sandra C. Souza. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, PLoS ONE, Molecular and Cellular Endocrinology and Biochemistry.
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.