Lan Hong
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Cancer Research top 5%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Genetics 14
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Alan Attie (14 shared papers)Brian S. Yandell (9 shared papers)Jonathan P. Stoehr (5 shared papers)Christina Kendziorski (6 shared papers)James M. Ntambi (5 shared papers)Makoto Miyazaki (2 shared papers)Paul Cohen (1 shared paper)Yang Song (1 shared paper)
- Journals
- Diabetes (5 papers)Genetics (4 papers)The FASEB Journal (3 papers)Life Sciences (3 papers)Journal of Lipid Research (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Lan Hong
78 papers receiving 3.1k citations
Lan Hong's Hit Papers
Peers
Comparison fields: 5 of 114
- Biochemistry 379
- Cancer Research 380
- Nutrition and Dietetics 368
- Endocrinology, Diabetes and Metabolism 370
- Physiology 552
Countries citing papers authored by Lan Hong
This map shows the geographic impact of Lan Hong'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 Lan Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Hong more than expected).
Fields of papers citing papers by Lan Hong
This network shows the impact of papers produced by Lan Hong. 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 Lan Hong. The network helps show where Lan Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Hong, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of stearoyl–CoA desaturase-1 function protects mice against adiposity Hit paper breakdown → | 2002 | 936 |
| 2 | 2008 | 148 | |
| 3 | 2006 | 139 | |
| 4 | 2009 | 137 | |
| 5 | 2007 | 121 | |
| 6 | 2003 | 118 | |
| 7 | 2008 | 107 | |
| 8 | 2006 | 96 | |
| 9 | 1998 | 80 | |
| 10 | 2008 | 80 | |
| 11 | 2011 | 77 | |
| 12 | 2010 | 71 | |
| 13 | 2010 | 67 | |
| 14 | 2006 | 59 | |
| 15 | 2001 | 54 | |
| 16 | 2004 | 53 | |
| 17 | 2012 | 53 | |
| 18 | 2003 | 52 | |
| 19 | 2004 | 42 | |
| 20 | 2018 | 40 |
About Lan Hong
Lan Hong is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Lipid metabolism and biosynthesis (6 papers), Synthesis and Biological Evaluation (6 papers), Adipose Tissue and Metabolism (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Pancreatic function and diabetes (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Biochemistry (379 citations), Cancer Research (380 citations), Nutrition and Dietetics (368 citations), Endocrinology, Diabetes and Metabolism (370 citations) and Physiology (552 citations). Lan Hong has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Alan Attie, Brian S. Yandell, Jonathan P. Stoehr, Christina Kendziorski, James M. Ntambi, Makoto Miyazaki, Paul Cohen, Yang Song, Jeffrey M. Friedman and Joseph A. Hedrick. Their work appears in journals such as Diabetes, Genetics, The FASEB Journal, Life Sciences and Journal of Lipid 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.