Danhong Lu
Impact in
- Surgery top 1%
- Pancreatic function and diabetes
-
- Diet, Metabolism, and Disease
- Diabetes Management and Research
Papers in
- Surgery 35
- Pancreatic function and diabetes 35
-
- Metabolism, Diabetes, and Cancer 16
- Co-authors
- Christopher B. Newgard (22 shared papers)Mette V. Jensen (13 shared papers)A. Dean Sherry (9 shared papers)Shawn C. Burgess (8 shared papers)Thomas Becker (8 shared papers)J. Jason Collier (12 shared papers)Susan J. Burke (11 shared papers)Toshiyuki Takeuchi (3 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)Endocrinology (3 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Danhong Lu
44 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 106
- Surgery 1.6k
- Endocrinology, Diabetes and Metabolism 565
- Genetics 715
- Cell Biology 365
- Molecular Biology 1.4k
Countries citing papers authored by Danhong Lu
This map shows the geographic impact of Danhong Lu'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 Danhong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danhong Lu more than expected).
Fields of papers citing papers by Danhong Lu
This network shows the impact of papers produced by Danhong Lu. 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 Danhong Lu. The network helps show where Danhong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danhong Lu, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 492 | |
| 2 | 2002 | 220 | |
| 3 | 2006 | 184 | |
| 4 | 2007 | 157 | |
| 5 | 2007 | 153 | |
| 6 | 2013 | 138 | |
| 7 | 2005 | 135 | |
| 8 | 2006 | 111 | |
| 9 | 2020 | 105 | |
| 10 | 2004 | 104 | |
| 11 | 2001 | 82 | |
| 12 | 2008 | 82 | |
| 13 | 2014 | 76 | |
| 14 | 2015 | 76 | |
| 15 | 2011 | 68 | |
| 16 | 2015 | 66 | |
| 17 | 2008 | 65 | |
| 18 | 2010 | 60 | |
| 19 | 2001 | 55 | |
| 20 | 2013 | 55 |
About Danhong Lu
Danhong Lu is a scholar working on Surgery, Molecular Biology, Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (35 papers), Diabetes and associated disorders (16 papers), Metabolism, Diabetes, and Cancer (16 papers), Immune Cell Function and Interaction (8 papers), Adipose Tissue and Metabolism (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Diet, Metabolism, and Disease (4 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Surgery (1.6k citations), Endocrinology, Diabetes and Metabolism (565 citations), Genetics (715 citations), Cell Biology (365 citations) and Molecular Biology (1.4k citations). Danhong Lu has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Christopher B. Newgard, Mette V. Jensen, A. Dean Sherry, Shawn C. Burgess, Thomas Becker, J. Jason Collier, Susan J. Burke, Toshiyuki Takeuchi, Michael D. Karlstad and Tsuyoshi Kayo. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Proceedings of the National Academy of Sciences, American Journal of Physiology-Endocrinology and Metabolism and Endocrinology.
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.