Jin Zhang
- Geriatrics and Gerontology top 0.5%
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 21
- MicroRNA in disease regulation 9
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 30
- RNA modifications and cancer 21
- Cancer-related gene regulation 13
- Mitochondrial Function and Pathology 10
- RNA Interference and Gene Delivery 9
- Immunology top 2%
- Immunotherapy and Immune Responses 11
- Aging top 2%
- Co-authors
- George Q. DaleyDanny ReinbergLois A. SalamonsenCarla M. KoehlerMichael A. TeitellFrancesco StrinoRoberto BonasioYuval Kluger
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Jin Zhang
209 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Geriatrics and Gerontology 425
- Cancer Research 1.5k
- Molecular Biology 4.7k
- Immunology 1.4k
- Aging 100
Countries citing papers authored by Jin Zhang
This map shows the geographic impact of Jin Zhang'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 Jin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhang more than expected).
Fields of papers citing papers by Jin Zhang
This network shows the impact of papers produced by Jin Zhang. 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 Jin Zhang. The network helps show where Jin Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Zhang, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 0 | |
| 14 | 2022 | 93 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 61 | |
| 17 | 2018 | 10 | |
| 18 | [Patterns and risk factors of recurrence in triple-negative breast cancer]. | 2014 | 2 |
| 19 | Influence of Threonine Metabolism on S -Adenosylmethionine and Histone Methylationbreakdown → | 2012 | 506 |
| 20 | 2012 | 104 |
About Jin Zhang
Jin Zhang is a scholar working on Cancer Research, Neurology and Oncology, having authored 232 papers that have together received 8.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (30 papers), RNA modifications and cancer (21 papers), Cancer, Hypoxia, and Metabolism (21 papers), Cancer-related gene regulation (13 papers), Immunotherapy and Immune Responses (11 papers), Mitochondrial Function and Pathology (10 papers), MicroRNA in disease regulation (9 papers) and RNA Interference and Gene Delivery (9 papers). The work is most often cited by research in Geriatrics and Gerontology (425 citations), Cancer Research (1.5k citations) and Molecular Biology (4.7k citations). Jin Zhang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include George Q. Daley, Danny Reinberg, Lois A. Salamonsen, Carla M. Koehler, Michael A. Teitell, Francesco Strino, Roberto Bonasio, Yuval Kluger, Zhonghua Gao and Ayana Sawai. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.