Runming Jin
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 7
- Modeling and Simulation top 5%
- Obstetrics and Gynecology top 5%
- Hematology top 5%
- Acute Myeloid Leukemia Research 16
- Chronic Myeloid Leukemia Treatments 6
- Neurology top 5%
- Long-Term Effects of COVID-19 5
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- Acute Lymphoblastic Leukemia research 23
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- Childhood Cancer Survivors' Quality of Life 16
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- Immune Cell Function and Interaction 6
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- Neutropenia and Cancer Infections 5
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Runming Jin
94 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Infectious Diseases 629
- Modeling and Simulation 94
- Obstetrics and Gynecology 142
- Hematology 162
- Neurology 197
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 4 | |
| 6 | 2020 | 0 | |
| 7 | 2020 | 54 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 60 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 0 | |
| 12 | 2019 | 8 | |
| 13 | 2017 | 11 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 2 | |
| 16 | 2012 | 5 | |
| 17 | Biological Characteristics and Mechanism of Killing Tumor of Cytokine-Induced Killer Cells | 2009 | 0 |
| 18 | 2009 | 42 | |
| 19 | 2009 | 102 | |
| 20 | Cell Immune Conditions and Curative Turnover of Idiopathic Thrombocytopenic Purpura with Human Cytomegalovirus Infection in Children | 2008 | 1 |
About Runming Jin
Runming Jin is a scholar working on Hematology, Public Health, Environmental and Occupational Health, General Engineering, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (16 papers), Childhood Cancer Survivors' Quality of Life (16 papers), COVID-19 Clinical Research Studies (7 papers), Immune Cell Function and Interaction (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Neutropenia and Cancer Infections (5 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Infectious Diseases (629 citations), Modeling and Simulation (94 citations), Obstetrics and Gynecology (142 citations), Hematology (162 citations) and Neurology (197 citations). Runming Jin has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Hongbo Chen, Sainan Shu, Tianyou Wang, Dongchi Zhao, Liwei Gao, Zhengde Xie, Baoping Xu, Xuefeng Wang, Likai Lin and Xiaoxia Lü. Their work appears in journals such as Frontiers in Pharmacology, Blood, World Journal of Pediatrics, Frontiers in Pediatrics and Frontiers in Immunology.
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.