Yetao Jin
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 11
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Oncology 13
- Cancer-related Molecular Pathways 12
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Hua Lu (13 shared papers)Shelya X. Zeng (8 shared papers)Mu‐Shui Dai (4 shared papers)Xiao‐Xin Sun (2 shared papers)Larry L. David (1 shared paper)Sudipan Karmakar (2 shared papers)Akhilesh K. Nagaich (2 shared papers)Lorene K. Langeberg (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Molecular and Cellular Biology (3 papers)The EMBO Journal (2 papers)Neoplasia (2 papers)Neuron (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Yetao Jin
17 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Oncology 731
- Molecular Biology 1.5k
- Aging 33
- Cancer Research 216
- Cellular and Molecular Neuroscience 261
Countries citing papers authored by Yetao Jin
This map shows the geographic impact of Yetao 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 Yetao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yetao Jin more than expected).
Fields of papers citing papers by Yetao Jin
This network shows the impact of papers produced by Yetao 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 Yetao Jin. The network helps show where Yetao Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yetao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 452 | |
| 2 | 2004 | 409 | |
| 3 | 2011 | 119 | |
| 4 | 2006 | 105 | |
| 5 | 2013 | 104 | |
| 6 | 2006 | 102 | |
| 7 | 2012 | 91 | |
| 8 | 2006 | 80 | |
| 9 | 2002 | 73 | |
| 10 | 2007 | 68 | |
| 11 | 2006 | 66 | |
| 12 | 2012 | 54 | |
| 13 | 2004 | 43 | |
| 14 | 2005 | 39 | |
| 15 | 2012 | 22 | |
| 16 | 2009 | 19 | |
| 17 | 2003 | 16 |
About Yetao Jin
Yetao Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Genetics, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), Ubiquitin and proteasome pathways (11 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA modifications and cancer (3 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Microtubule and mitosis dynamics (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (731 citations), Molecular Biology (1.5k citations), Aging (33 citations), Cancer Research (216 citations) and Cellular and Molecular Neuroscience (261 citations). Yetao Jin has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Hua Lu, Shelya X. Zeng, Mu‐Shui Dai, Xiao‐Xin Sun, Larry L. David, Sudipan Karmakar, Akhilesh K. Nagaich, Lorene K. Langeberg, Robert A. Crozier and Mark F. Bear. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The EMBO Journal, Neoplasia and Neuron.
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.