Runming Jin
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
Papers in
-
- Ion Transport and Channel Regulation 5
-
- Acute Lymphoblastic Leukemia research 19
- Co-authors
- Hongbo Chen (12 shared papers)Tianyou Wang (2 shared papers)Dongchi Zhao (2 shared papers)Sainan Shu (2 shared papers)Xuefeng Wang (1 shared paper)Yongyan Wang (1 shared paper)Yonghong Yang (1 shared paper)Baoping Xu (1 shared paper)
- Journals
- Blood (3 papers)World Journal of Pediatrics (3 papers)Cell Discovery (2 papers)Frontiers in Immunology (2 papers)Leukemia Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Runming Jin
88 papers receiving 2.2k citations
Runming Jin's Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 510
- Modeling and Simulation 83
- Obstetrics and Gynecology 105
- Hematology 141
- Oncology 254
Countries citing papers authored by Runming Jin
This map shows the geographic impact of Runming 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 Runming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runming Jin more than expected).
Fields of papers citing papers by Runming Jin
This network shows the impact of papers produced by Runming 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 Runming Jin. The network helps show where Runming Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Runming 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnosis, treatment, and prevention of 2019 novel coronavirus infection in children: experts’ consensus statement Hit paper breakdown → | 2020 | 553 |
| 2 | Calcium channel blocker amlodipine besylate therapy is associated with reduced case fatality rate of COVID-19 patients with hypertension Hit paper breakdown → | 2020 | 234 |
| 3 | 2016 | 203 | |
| 4 | 2020 | 106 | |
| 5 | 2009 | 102 | |
| 6 | 2019 | 101 | |
| 7 | 2021 | 82 | |
| 8 | 2019 | 66 | |
| 9 | 2020 | 55 | |
| 10 | 2019 | 49 | |
| 11 | 2008 | 45 | |
| 12 | 2009 | 43 | |
| 13 | 2019 | 32 | |
| 14 | 1999 | 31 | |
| 15 | 2011 | 31 | |
| 16 | 2020 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2013 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2020 | 21 |
About Runming Jin
Runming Jin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Oncology and Infectious Diseases, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (19 papers), Acute Myeloid Leukemia Research (12 papers), Childhood Cancer Survivors' Quality of Life (9 papers), COVID-19 Clinical Research Studies (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Ion Transport and Channel Regulation (5 papers), Neutropenia and Cancer Infections (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Infectious Diseases (510 citations), Modeling and Simulation (83 citations), Obstetrics and Gynecology (105 citations), Hematology (141 citations) and Oncology (254 citations). Runming Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongbo Chen, Tianyou Wang, Dongchi Zhao, Sainan Shu, Xuefeng Wang, Yongyan Wang, Yonghong Yang, Baoping Xu, Kunling Shen and Yan Bai. Their work appears in journals such as Blood, World Journal of Pediatrics, Cell Discovery, Frontiers in Immunology and Leukemia 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.