Feng Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer survivorship and care
- Cancer Cells and Metastasis
Papers in
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- Epigenetics and DNA Methylation 6
- Cancer-related gene regulation 4
- Bioinformatics and Genomic Networks 3
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- Breast Cancer Treatment Studies 4
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 3
- Co-authors
- Xiaoyun Mao (8 shared papers)Ang Zheng (10 shared papers)Ling Wang (1 shared paper)Minjie Wei (4 shared papers)Caigang Liu (6 shared papers)Xinyue Song (3 shared papers)Lin Zhang (2 shared papers)Aiping Wang (2 shared papers)
- Journals
- Tumor Biology (5 papers)Frontiers in Oncology (4 papers)PLoS ONE (2 papers)BMJ Open (2 papers)Surgical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Jin
57 papers receiving 803 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 189
- Oncology 193
- Family Practice 10
- Immunology 84
- Molecular Biology 249
Countries citing papers authored by Feng Jin
This map shows the geographic impact of Feng 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 Feng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jin more than expected).
Fields of papers citing papers by Feng Jin
This network shows the impact of papers produced by Feng 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 Feng Jin. The network helps show where Feng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2019 | 78 | |
| 3 | 2014 | 49 | |
| 4 | 2020 | 46 | |
| 5 | 2022 | 35 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 31 | |
| 8 | 2015 | 26 | |
| 9 | 2014 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2011 | 22 | |
| 13 | 2008 | 22 | |
| 14 | 2011 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2008 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2019 | 14 |
About Feng Jin
Feng Jin is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and General Health Professions, having authored 63 papers that have together received 813 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Breast Cancer Treatment Studies (4 papers), Cancer-related gene regulation (4 papers), Medication Adherence and Compliance (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (189 citations), Oncology (193 citations), Family Practice (10 citations), Immunology (84 citations) and Molecular Biology (249 citations). Feng Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoyun Mao, Ang Zheng, Ling Wang, Minjie Wei, Caigang Liu, Xinyue Song, Lin Zhang, Aiping Wang, Chao Zhang and Wei Li. Their work appears in journals such as Tumor Biology, Frontiers in Oncology, PLoS ONE, BMJ Open and Surgical Oncology.
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.