Lin Lin
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Biological Psychiatry top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Mitochondrial Function and Pathology 7
- Physiology 26
- Diet and metabolism studies 9
- Co-authors
- John C. Achermann (9 shared papers)Peter J.H. Jones (6 shared papers)Е. А. Смирнова (1 shared paper)William J. Brown (1 shared paper)Kira S. Makarova (1 shared paper)Catherine Jackson (1 shared paper)René Anand (3 shared papers)Xiaomei Yan (6 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Aging (3 papers)Journal of Neuroinflammation (2 papers)Journal of Ovarian Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lin Lin
171 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 157
- Biochemistry 328
- Biological Psychiatry 112
- Aging 71
- Molecular Biology 2.5k
- Endocrinology, Diabetes and Metabolism 509
Countries citing papers authored by Lin Lin
This map shows the geographic impact of Lin Lin'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 Lin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lin more than expected).
Fields of papers citing papers by Lin Lin
This network shows the impact of papers produced by Lin Lin. 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 Lin Lin. The network helps show where Lin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Lin, 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 276 | |
| 2 | 2012 | 236 | |
| 3 | 2013 | 194 | |
| 4 | 2012 | 181 | |
| 5 | 2017 | 180 | |
| 6 | 2001 | 134 | |
| 7 | 2005 | 128 | |
| 8 | 2006 | 116 | |
| 9 | 2009 | 112 | |
| 10 | 2011 | 108 | |
| 11 | 2009 | 103 | |
| 12 | 2006 | 100 | |
| 13 | 2002 | 92 | |
| 14 | 2009 | 90 | |
| 15 | 2005 | 87 | |
| 16 | 2003 | 78 | |
| 17 | Omega-3 Fatty Acids and Cardiovascular Disease | 2016 | 75 |
| 18 | 2016 | 74 | |
| 19 | 2010 | 72 | |
| 20 | 2006 | 72 |
About Lin Lin
Lin Lin is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Pharmacology and Nutrition and Dietetics, having authored 182 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (14 papers), Alcohol Consumption and Health Effects (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Diet and metabolism studies (9 papers), Fatty Acid Research and Health (8 papers), Diet, Metabolism, and Disease (8 papers), Tryptophan and brain disorders (7 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Biochemistry (328 citations), Biological Psychiatry (112 citations), Aging (71 citations), Molecular Biology (2.5k citations) and Endocrinology, Diabetes and Metabolism (509 citations). Lin Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John C. Achermann, Peter J.H. Jones, Е. А. Смирнова, William J. Brown, Kira S. Makarova, Catherine Jackson, René Anand, Xiaomei Yan, Youhua Liu and Dong Zhou. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism, Aging, Journal of Neuroinflammation and Journal of Ovarian 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.