Weijun Jin
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Lipid metabolism and disorders
Papers in
- Biochemistry 10
- Lipid metabolism and biosynthesis 10
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- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Co-authors
- Daniel J. RaderJane M. GlickJohn S. MillarUli C. BroedlNabil G. SeidahDawn MarchadierRachid EssalmaniJosée Hamelin
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Clinical Investigation (4 papers)Journal of Lipid Research (4 papers)Nutrition & Metabolism (3 papers)Circulation Research (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Weijun Jin
35 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 772
- Cardiology and Cardiovascular Medicine 707
- Cancer Research 455
- Surgery 1.1k
- Biochemistry 166
Countries citing papers authored by Weijun Jin
This map shows the geographic impact of Weijun Jin'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 Weijun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Jin more than expected).
Fields of papers citing papers by Weijun Jin
This network shows the impact of papers produced by Weijun Jin. 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 Weijun Jin. The network helps show where Weijun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2014 | 15 | |
| 3 | 2012 | 8 | |
| 4 | 2012 | 42 | |
| 5 | 2012 | 32 | |
| 6 | 2011 | 115 | |
| 7 | 2011 | 26 | |
| 8 | 2011 | 41 | |
| 9 | 2010 | 93 | |
| 10 | 2008 | 332 | |
| 11 | 2007 | 108 | |
| 12 | 2007 | 21 | |
| 13 | 2005 | 41 | |
| 14 | 2005 | 5 | |
| 15 | 2005 | 85 | |
| 16 | 2004 | 42 | |
| 17 | NARC-1/PCSK9 and Its Natural Mutants Hit paper breakdown → | 2004 | 532 |
| 18 | 2003 | 98 | |
| 19 | 2003 | 176 | |
| 20 | 2002 | 40 |
About Weijun Jin
Weijun Jin is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Surgery, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Lipid metabolism and disorders (16 papers), Lipid metabolism and biosynthesis (10 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (772 citations), Cardiology and Cardiovascular Medicine (707 citations), Cancer Research (455 citations), Surgery (1.1k citations) and Biochemistry (166 citations). Weijun Jin has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Daniel J. Rader, Jane M. Glick, John S. Millar, Uli C. Broedl, Nabil G. Seidah, Dawn Marchadier, Rachid Essalmani, Josée Hamelin, Annik Prat and Suzanne Benjannet. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Journal of Lipid Research, Nutrition & Metabolism and Circulation Research.
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.