Ge Jin
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer-related gene regulation 9
- Epigenetics and DNA Methylation 7
- Wnt/β-catenin signaling in development and cancer 6
- RNA modifications and cancer 5
- Extracellular vesicles in disease 5
- Oncology 13
- Co-authors
- Philip H. Howe (4 shared papers)Aaron Weinberg (10 shared papers)Gregory S. Yochum (2 shared papers)Wesley M. Raup‐Konsavage (2 shared papers)Sherri A. Rennoll (1 shared paper)Partho Sarothi Ray (1 shared paper)Arindam Chaudhury (1 shared paper)Paul L. Fox (1 shared paper)
- Journals
- Experimental Cell Research (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ge Jin
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Microbiology 243
- Cancer Research 390
- Oncology 509
- Immunology 382
- Molecular Biology 1.2k
Countries citing papers authored by Ge Jin
This map shows the geographic impact of Ge Jin'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 Ge Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Jin more than expected).
Fields of papers citing papers by Ge Jin
This network shows the impact of papers produced by Ge Jin. 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 Ge Jin. The network helps show where Ge Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Jin, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 250 | |
| 2 | 2012 | 236 | |
| 3 | 1996 | 124 | |
| 4 | 2010 | 117 | |
| 5 | 1997 | 83 | |
| 6 | 2018 | 71 | |
| 7 | 2004 | 70 | |
| 8 | 2018 | 67 | |
| 9 | 2016 | 61 | |
| 10 | 2012 | 59 | |
| 11 | 1999 | 58 | |
| 12 | 2012 | 51 | |
| 13 | 2008 | 45 | |
| 14 | 2020 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2015 | 37 | |
| 17 | 2010 | 34 | |
| 18 | 2009 | 32 | |
| 19 | 2024 | 32 | |
| 20 | 2016 | 31 |
About Ge Jin
Ge Jin is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Microbiology, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Antimicrobial Peptides and Activities (9 papers), Epigenetics and DNA Methylation (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Immune Response and Inflammation (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Microbiology (243 citations), Cancer Research (390 citations), Oncology (509 citations), Immunology (382 citations) and Molecular Biology (1.2k citations). Ge Jin has collaborated with scholars based in China, United States and India. Frequent co-authors include Philip H. Howe, Aaron Weinberg, Gregory S. Yochum, Wesley M. Raup‐Konsavage, Sherri A. Rennoll, Partho Sarothi Ray, Arindam Chaudhury, Paul L. Fox, George S. Hussey and Thomas M. McIntyre. Their work appears in journals such as Experimental Cell Research, PLoS ONE, Scientific Reports, Journal of Biological Chemistry and Oncotarget.
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.