Runsen Jin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lung Cancer Diagnosis and Treatment 20
- Lung Cancer Treatments and Mutations 5
- Tracheal and airway disorders 4
- Gastric Cancer Management and Outcomes 4
- Surgery 10
- Co-authors
- Hecheng Li (32 shared papers)Nan Sun (7 shared papers)Jie He (7 shared papers)Sufei Zheng (7 shared papers)Chengming Liu (7 shared papers)Bo Feng (5 shared papers)Yan Zhang (1 shared paper)Hongchao Zhao (4 shared papers)
- Journals
- Translational Lung Cancer Research (4 papers)Cancer Letters (3 papers)European Journal of Cardio-Thoracic Surgery (2 papers)Oncotarget (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Runsen Jin
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Cancer Research 213
- Oncology 321
- Pulmonary and Respiratory Medicine 339
- Molecular Biology 455
- Immunology 99
Countries citing papers authored by Runsen Jin
This map shows the geographic impact of Runsen 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 Runsen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runsen Jin more than expected).
Fields of papers citing papers by Runsen Jin
This network shows the impact of papers produced by Runsen 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 Runsen Jin. The network helps show where Runsen Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Runsen 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 222 | |
| 2 | 2022 | 95 | |
| 3 | 2014 | 86 | |
| 4 | 2013 | 79 | |
| 5 | 2014 | 66 | |
| 6 | 2019 | 57 | |
| 7 | 2020 | 46 | |
| 8 | 2014 | 44 | |
| 9 | 2015 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2020 | 41 | |
| 12 | 2020 | 37 | |
| 13 | 2015 | 37 | |
| 14 | 2019 | 32 | |
| 15 | 2015 | 30 | |
| 16 | 2017 | 28 | |
| 17 | 2014 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2012 | 18 | |
| 20 | 2020 | 15 |
About Runsen Jin
Runsen Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Molecular Biology and Immunology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (20 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Tracheal and airway disorders (4 papers), Gastric Cancer Management and Outcomes (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Mechanisms of cancer metastasis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (213 citations), Oncology (321 citations), Pulmonary and Respiratory Medicine (339 citations), Molecular Biology (455 citations) and Immunology (99 citations). Runsen Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hecheng Li, Nan Sun, Jie He, Sufei Zheng, Chengming Liu, Bo Feng, Yan Zhang, Hongchao Zhao, Xin‐Feng Wang and Ruochuan Zang. Their work appears in journals such as Translational Lung Cancer Research, Cancer Letters, European Journal of Cardio-Thoracic Surgery, Oncotarget and PLoS ONE.
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.