Runming Jin

4.7k total citations · 2 hit papers
103 papers, 2.3k citations indexed

About

Runming Jin is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Runming Jin has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 26 papers in Molecular Biology and 26 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Runming Jin's work include Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (16 papers) and Childhood Cancer Survivors' Quality of Life (16 papers). Runming Jin is often cited by papers focused on Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (16 papers) and Childhood Cancer Survivors' Quality of Life (16 papers). Runming Jin collaborates with scholars based in China, United States and Belarus. Runming Jin's co-authors include Hongbo Chen, Dongchi Zhao, Tianyou Wang, Sainan Shu, Yuejie Zheng, Yan Bai, Yi Jiang, Yunxiao Shang, Likai Lin and Kunling Shen and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of the American College of Cardiology.

In The Last Decade

Runming Jin

94 papers receiving 2.2k citations

Hit Papers

Diagnosis, treatment, and prevention of 2019 novel corona... 2020 2026 2022 2024 2020 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Runming Jin China 20 629 594 298 218 202 103 2.3k
Qing Ma United States 29 709 1.1× 531 0.9× 170 0.6× 194 0.9× 238 1.2× 164 2.8k
Coziana Ciurtin United Kingdom 24 629 1.0× 390 0.7× 271 0.9× 195 0.9× 96 0.5× 154 2.8k
Keum Hwa Lee South Korea 28 561 0.9× 820 1.4× 342 1.1× 165 0.8× 111 0.5× 92 3.3k
Ying Huang China 25 640 1.0× 612 1.0× 399 1.3× 79 0.4× 88 0.4× 127 2.6k
Jing Xu China 28 581 0.9× 463 0.8× 213 0.7× 174 0.8× 181 0.9× 132 2.8k
Yancheng Xu China 27 427 0.7× 704 1.2× 185 0.6× 89 0.4× 148 0.7× 119 2.4k
Lianghong Yin China 21 720 1.1× 730 1.2× 193 0.6× 83 0.4× 88 0.4× 102 2.5k
Thomas Perkmann Austria 28 663 1.1× 369 0.6× 371 1.2× 135 0.6× 362 1.8× 121 3.1k
Reza Alizadeh‐Navaei Iran 25 490 0.8× 417 0.7× 328 1.1× 110 0.5× 62 0.3× 201 2.5k
Yumei Liu China 25 235 0.4× 417 0.7× 131 0.4× 314 1.4× 199 1.0× 128 2.1k

Countries citing papers authored by Runming Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Runming Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Runming Jin. A scholar is included among the top collaborators of Runming Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Runming Jin. Runming Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Luo, Zhiqiang, Runming Jin, Rong Guo, et al.. (2025). Integration analysis of miRNA-mRNA uncovers the mechanisms of ochratoxin A-induced hepatotoxicity. Ecotoxicology and Environmental Safety. 293. 118039–118039. 2 indexed citations
4.
Wu, Xiaoyan, et al.. (2023). Hypothyroidism in induction chemotherapy of children with acute lymphoblastic leukaemia: A single‐centre study. International Journal of Cancer. 153(3). 669–680.
5.
Huang, Heqing, et al.. (2021). The impact of pegylated recombinant human growth hormone replacement therapy on glucose and lipid metabolism in children with growth hormone deficiency. Annals of Palliative Medicine. 10(2). 1809–1814. 5 indexed citations
6.
Wang, Zhu‐Jun, et al.. (2020). High-Dose Methotrexate-Induced Idiopathic Intracranial Hypertension in Infant Acute Lymphoblastic Leukemia. Frontiers in Pharmacology. 11. 839–839.
7.
Jin, Runming, et al.. (2020). Clinical and transmission dynamics characteristics of 406 children with coronavirus disease 2019 in China: A review. Journal of Infection. 81(2). e11–e15. 54 indexed citations
8.
Ruan, Shasha, Ming Lin, Lawrence G. Lum, et al.. (2019). Integrin β4–Targeted Cancer Immunotherapies Inhibit Tumor Growth and Decrease Metastasis. Cancer Research. 80(4). 771–783. 60 indexed citations
9.
Bai, Yan, et al.. (2019). Metatropic Dysplasia of Nonlethal Variant in a Chinese Child – A Case Report. Orthopaedic Surgery. 12(1). 333–336. 2 indexed citations
10.
Wang, Zhongjian, et al.. (2019). [Pure red cell aplasia in children: a clinical analysis of 16 cases].. PubMed Central. 21(8). 772–776.
11.
Zhou, Fan, Fen Zhou, Mengyi Du, et al.. (2019). Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients. International Journal of Hematology. 110(5). 575–583. 3 indexed citations
12.
Bai, Yan, Jine Zheng, Nan Wang, et al.. (2015). Effects of dendritic cell-activated and cytokine-induced killer cell therapy on 22 children with acute myeloid leukemia after chemotherapy. Journal of Huazhong University of Science and Technology [Medical Sciences]. 35(5). 689–693. 6 indexed citations
13.
Zhou, Fen, Yunyun Xu, Zhiquan Zhang, Xiaoyan Wu, & Runming Jin. (2014). Severe Hemorrhage in Chinese Children With Immune Thrombocytopenia. Journal of Pediatric Hematology/Oncology. 37(3). e158–e161. 9 indexed citations
14.
Zhou, Fen, Heng Mei, Qiuling Wu, & Runming Jin. (2011). Expression of histone H2AX phosphorylation and its potential to modulate adriamycin resistance in K562/A02 cell line. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(2). 154–158. 6 indexed citations
15.
Hao, Jinjin, et al.. (2011). [Comparisons of clinical features of chronic aplastic anemia and myelodysplastic syndrome in children].. PubMed. 13(11). 867–9. 1 indexed citations
16.
Chen, Wen, Tie Ke, Fang Wang, et al.. (2010). A novel PAX6 mutation in a large Chinese family with aniridia and congenital cataract.. PubMed. 16. 1141–5. 17 indexed citations
17.
Liu, Miao, Fang Wang, Yanrong Wang, & Runming Jin. (2009). Atorvastatin Improves Endothelial Function and Cardiac Performance in Patients with Dilated Cardiomyopathy: The Role of Inflammation. Cardiovascular Drugs and Therapy. 23(5). 369–376. 42 indexed citations
18.
Jin, Runming. (2009). Biological Characteristics and Mechanism of Killing Tumor of Cytokine-Induced Killer Cells. Testowy IndexCopernicus.
19.
Jin, Runming. (2008). Cell Immune Conditions and Curative Turnover of Idiopathic Thrombocytopenic Purpura with Human Cytomegalovirus Infection in Children. Testowy IndexCopernicus. 1 indexed citations
20.
Zhong, Nan, Weina Ju, Weimin Xu, et al.. (1999). Frequency of the fragile X syndrome in Chinese mentally retarded populations is similar to that in Caucasians. American Journal of Medical Genetics. 84(3). 191–194. 31 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026