Lin Ge
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
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- Stress Responses and Cortisol
Papers in
-
- Epigenetics and DNA Methylation 2
- Machine Learning in Bioinformatics 1
- DNA Repair Mechanisms 1
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Jingyu Yang (3 shared papers)Chunfu Wu (3 shared papers)Shuning Zheng (2 shared papers)Xiumei Lu (2 shared papers)John Chant (2 shared papers)Guy Cavet (2 shared papers)Howard Marvin Stern (2 shared papers)David Stokoe (2 shared papers)
- Journals
- Molecular Cancer Research (2 papers)Lipids in Health and Disease (2 papers)Peptides (1 paper)Immunogenetics (1 paper)Clinica Chimica Acta (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lin Ge
13 papers receiving 504 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 70
- Behavioral Neuroscience 31
- Cancer Research 85
- Molecular Biology 287
- Obstetrics and Gynecology 24
Countries citing papers authored by Lin Ge
This map shows the geographic impact of Lin 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 Lin Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ge more than expected).
Fields of papers citing papers by Lin Ge
This network shows the impact of papers produced by Lin 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 Lin Ge. The network helps show where Lin Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 187 | |
| 2 | 2009 | 125 | |
| 3 | 2009 | 61 | |
| 4 | 2015 | 46 | |
| 5 | A follow-up study of women with a history of severe preeclampsia: relationship between metabolic syndrome and preeclampsia. | 2011 | 25 |
| 6 | 2015 | 23 | |
| 7 | 1990 | 19 | |
| 8 | 2014 | 10 | |
| 9 | COMT Val158Met polymorphism is associated with blood pressure and lipid levels in general families of Bama longevous area in China. | 2015 | 9 |
| 10 | 2015 | 7 | |
| 11 | 2013 | 5 | |
| 12 | 1990 | 2 | |
| 13 | 2023 | 1 |
About Lin Ge
Lin Ge is a scholar working on Molecular Biology, Cancer Research, Aging, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 13 papers that have together received 520 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Epigenetics and DNA Methylation (2 papers), Tryptophan and brain disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Adipose Tissue and Metabolism (1 paper), Immunotherapy and Immune Responses (1 paper), Birth, Development, and Health (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (70 citations), Behavioral Neuroscience (31 citations), Cancer Research (85 citations), Molecular Biology (287 citations) and Obstetrics and Gynecology (24 citations). Lin Ge has collaborated with scholars based in China and United States. Frequent co-authors include Jingyu Yang, Chunfu Wu, Shuning Zheng, Xiumei Lu, John Chant, Guy Cavet, Howard Marvin Stern, David Stokoe, Taoguang Huo and Mingyang Yu. Their work appears in journals such as Molecular Cancer Research, Lipids in Health and Disease, Peptides, Immunogenetics and Clinica Chimica Acta.
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.