Lan Ge
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in ⓘ
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Kathryn DeFea (5 shared papers)Stephen M. Prouty (6 shared papers)Kurt S. Stenn (6 shared papers)Satish Parimoo (2 shared papers)Morley D. Hollenberg (1 shared paper)Lin Zhang (1 shared paper)Robert J. Lefkowitz (1 shared paper)Sudha K. Shenoy (1 shared paper)
- Journals
- Biochemical Journal (4 papers)Magnetic Resonance in Medicine (3 papers)Frontiers in Immunology (3 papers)Journal of Biological Chemistry (3 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lan Ge
71 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 404
- Biochemistry 183
- Hematology 207
- Endocrine and Autonomic Systems 114
- Nutrition and Dietetics 253
Countries citing papers authored by Lan Ge
This map shows the geographic impact of Lan Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ge more than expected).
Fields of papers citing papers by Lan Ge
This network shows the impact of papers produced by Lan Ge. 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 Ge. The network helps show where Lan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Ge, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 205 | |
| 2 | 2014 | 203 | |
| 3 | 2003 | 171 | |
| 4 | 2004 | 154 | |
| 5 | 2007 | 124 | |
| 6 | 2005 | 118 | |
| 7 | 2003 | 108 | |
| 8 | 2013 | 84 | |
| 9 | 1999 | 81 | |
| 10 | 2011 | 75 | |
| 11 | 2012 | 60 | |
| 12 | 2013 | 58 | |
| 13 | 2001 | 57 | |
| 14 | 2014 | 55 | |
| 15 | 2014 | 42 | |
| 16 | 2015 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2001 | 38 | |
| 19 | 2012 | 33 | |
| 20 | 2014 | 31 |
About Lan Ge
Lan Ge is a scholar working on Cancer Research, Immunology and Allergy, Dermatology, Biochemistry and Nutrition and Dietetics, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Receptor Mechanisms and Signaling (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). The work is most often cited by research in Cancer Research (404 citations), Biochemistry (183 citations), Hematology (207 citations), Endocrine and Autonomic Systems (114 citations) and Nutrition and Dietetics (253 citations). Lan Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kathryn DeFea, Stephen M. Prouty, Kurt S. Stenn, Satish Parimoo, Morley D. Hollenberg, Lin Zhang, Robert J. Lefkowitz, Sudha K. Shenoy, Yuming Li and Rui‐Yi Lu. Their work appears in journals such as Biochemical Journal, Magnetic Resonance in Medicine, Frontiers in Immunology, Journal of Biological Chemistry and The FASEB Journal.
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.