Jingchun Song

942 total citations
28 papers, 546 citations indexed

About

Jingchun Song is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Physiology. According to data from OpenAlex, Jingchun Song has authored 28 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Critical Care and Intensive Care Medicine, 9 papers in Epidemiology and 9 papers in Physiology. Recurrent topics in Jingchun Song's work include Sepsis Diagnosis and Treatment (9 papers), Thermoregulation and physiological responses (7 papers) and Climate Change and Health Impacts (6 papers). Jingchun Song is often cited by papers focused on Sepsis Diagnosis and Treatment (9 papers), Thermoregulation and physiological responses (7 papers) and Climate Change and Health Impacts (6 papers). Jingchun Song collaborates with scholars based in China, South Korea and Taiwan. Jingchun Song's co-authors include W Li, Guo-Qing Zeng, Qing Song, Shuyuan Liu, Weiqin Li, Gang Wang, Yang Zhang, Wei Zhang, Zhou Zhou and Xiaolan Zhang and has published in prestigious journals such as Scientific Reports, Journal of Applied Physiology and Advanced Science.

In The Last Decade

Jingchun Song

25 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingchun Song China 12 119 118 87 81 79 28 546
В. В. Фомин Russia 12 121 1.0× 99 0.8× 261 3.0× 139 1.7× 82 1.0× 179 855
Yeong Hun Choe South Korea 17 49 0.4× 74 0.6× 179 2.1× 203 2.5× 82 1.0× 32 730
Peter Jirak Austria 15 86 0.7× 85 0.7× 115 1.3× 102 1.3× 72 0.9× 52 690
Teresa S. Sellers United States 12 51 0.4× 30 0.3× 137 1.6× 79 1.0× 94 1.2× 22 790
Seon‐Sook Han South Korea 16 21 0.2× 71 0.6× 103 1.2× 155 1.9× 102 1.3× 46 668
Hong‐Joon Shin South Korea 14 21 0.2× 125 1.1× 81 0.9× 123 1.5× 47 0.6× 52 544
Takahiro Kuragano Japan 21 45 0.4× 37 0.3× 79 0.9× 83 1.0× 117 1.5× 62 1.2k
Ae-Rin Baek South Korea 13 14 0.1× 38 0.3× 111 1.3× 156 1.9× 60 0.8× 41 613
Kee Hwan Yoo South Korea 20 47 0.4× 28 0.2× 85 1.0× 308 3.8× 117 1.5× 100 1.1k
Guillaume Favrè France 14 40 0.3× 77 0.7× 96 1.1× 122 1.5× 106 1.3× 30 619

Countries citing papers authored by Jingchun Song

Since Specialization
Citations

This map shows the geographic impact of Jingchun Song'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 Jingchun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingchun Song more than expected).

Fields of papers citing papers by Jingchun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingchun Song. 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 Jingchun Song. The network helps show where Jingchun Song may publish in the future.

Co-authorship network of co-authors of Jingchun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jingchun Song. A scholar is included among the top collaborators of Jingchun Song 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 Jingchun Song. Jingchun Song 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
1.
Song, Jingchun, et al.. (2025). Explainable machine learning model for predicting septic shock in critically sepsis patients based on coagulation indexes: A multicenter cohort study. Chinese Journal of Traumatology. 28(6). 404–411. 1 indexed citations
2.
Zeng, Junjie, et al.. (2025). Non-invasive urinary proteomic biomarkers for prognostic assessment in sepsis. Scientific Reports. 15(1). 25216–25216. 1 indexed citations
3.
Luo, Zhe, et al.. (2025). Preventive administration of shengmaiyin: a novel approach to counteract heatstroke-induced coagulopathy in rats. Frontiers in Pharmacology. 16. 1530371–1530371.
4.
Zhou, Ye, et al.. (2025). Developing a molecular diagnostic model for heatstroke-induced coagulopathy: a proteomics and metabolomics approach. Frontiers in Molecular Biosciences. 12. 1616073–1616073.
5.
Luo, Zhe, et al.. (2025). Nafamostat mesylate augments survival in rats afflicted by exertional heat stroke. Frontiers in Pharmacology. 16. 1559181–1559181.
6.
Kang, Kun‐Tai, Wen‐Chin Weng, Yu‐Chen Lee, et al.. (2024). Translation and validation of traditional Chinese version of the pediatric eating assessment Tool-10. Journal of the Formosan Medical Association. 124(3). 258–263. 1 indexed citations
7.
Zhou, Ye, et al.. (2024). Diagnostic value of tissue plasminogen activator-inhibitor complex in sepsis-induced liver injury: A single-center retrospective case-control study. World Journal of Hepatology. 16(11). 1255–1264. 1 indexed citations
8.
Song, Jingchun, et al.. (2024). Development and validation of a nomogram to predict mortality of patients with DIC in ICU. Frontiers in Medicine. 11. 1425799–1425799. 1 indexed citations
9.
Liu, Dongmei, et al.. (2024). Time to maximum amplitude of thromboelastography can predict mortality in patients with severe COVID-19: a retrospective observational study. Frontiers in Medicine. 11. 1356283–1356283. 1 indexed citations
10.
Song, Jingchun, et al.. (2023). Nomogram for predicting disseminated intravascular coagulation in heatstroke patients: A 10 years retrospective study. Frontiers in Medicine. 10. 1150623–1150623. 6 indexed citations
11.
Zhang, Wei, et al.. (2023). A newly proposed heatstroke-induced coagulopathy score in patients with heat illness: A multicenter retrospective study in China. Chinese Journal of Traumatology. 27(2). 83–90. 4 indexed citations
12.
Song, Jingchun, et al.. (2022). Thromboelastography maximum amplitude as an early predictor of disseminated intravascular coagulation in patients with heatstroke. International Journal of Hyperthermia. 39(1). 605–610. 13 indexed citations
13.
14.
Li, Jiamei, Ruohan Li, Xuting Jin, et al.. (2022). Association of platelet count with mortality in patients with infectious diseases in intensive care unit: a multicenter retrospective cohort study. Platelets. 33(8). 1168–1174. 6 indexed citations
15.
Song, Jingchun, et al.. (2021). Prediction of 90‐Day Mortality among Sepsis Patients Based on a Nomogram Integrating Diverse Clinical Indices. BioMed Research International. 2021(1). 1023513–1023513. 11 indexed citations
16.
Song, Jingchun, et al.. (2021). Chinese expert consensus on diagnosis and treatment of trauma-induced hypercoagulopathy. Military Medical Research. 8(1). 25–25. 12 indexed citations
17.
Liu, Shuyuan, et al.. (2020). Expert consensus on the diagnosis and treatment of heat stroke in China. Military Medical Research. 7(1). 1–1. 115 indexed citations
18.
Song, Jingchun, et al.. (2020). Expert consensus for diagnosis and treatment of coagulation dysfunction in COVID-19. 45(4). 335–344. 1 indexed citations
19.
Zeng, Guo-Qing, et al.. (2015). High MMP-1, MMP-2, and MMP-9 protein levels in osteoarthritis. Genetics and Molecular Research. 14(4). 14811–14822. 139 indexed citations
20.
Kang, Hyun Mi, et al.. (2012). Human Insulin Secreted from Insulinogenic Xenograft Restores Normoglycemia in Type 1 Diabetic Mice without Immunosuppression. Cell Transplantation. 21(10). 2131–2147. 12 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.

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