Lan Ge
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Receptor Mechanisms and Signaling 5
- RNA Research and Splicing 3
- Co-authors
- Kathryn DeFea (5 shared papers)Stephen M. Prouty (6 shared papers)Kurt S. Stenn (6 shared papers)Satish Parimoo (3 shared papers)Morley D. Hollenberg (1 shared paper)Lin Zhang (1 shared paper)Sudha K. Shenoy (1 shared paper)Robert J. Lefkowitz (1 shared paper)
- Journals
- Biochemical Journal (4 papers)Journal of Biological Chemistry (3 papers)Frontiers in Immunology (3 papers)Magnetic Resonance in Medicine (3 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lan Ge
73 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 380
- Biochemistry 180
- Hematology 205
- Endocrine and Autonomic Systems 113
- Nutrition and Dietetics 246
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 212 | |
| 2 | 2014 | 211 | |
| 3 | 2003 | 176 | |
| 4 | 2004 | 159 | |
| 5 | 2007 | 130 | |
| 6 | 2005 | 121 | |
| 7 | 2003 | 121 | |
| 8 | 2013 | 91 | |
| 9 | 1999 | 84 | |
| 10 | 2011 | 79 | |
| 11 | 2012 | 62 | |
| 12 | 2014 | 61 | |
| 13 | 2013 | 60 | |
| 14 | 2001 | 57 | |
| 15 | 2014 | 42 | |
| 16 | 2015 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2001 | 39 | |
| 19 | 2014 | 34 | |
| 20 | 2012 | 33 |
About Lan Ge
Lan Ge is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Immunology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Advanced MRI Techniques and Applications (6 papers), Receptor Mechanisms and Signaling (5 papers), Cell Adhesion Molecules Research (5 papers), RNA Research and Splicing (3 papers), Acne and Rosacea Treatments and Effects (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Cancer Research (380 citations), Biochemistry (180 citations), Hematology (205 citations), Endocrine and Autonomic Systems (113 citations) and Nutrition and Dietetics (246 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, Sudha K. Shenoy, Robert J. Lefkowitz, Xin Zhou and Yuming Li. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Frontiers in Immunology, Magnetic Resonance in Medicine 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.