Jing‐fei Dong

4.8k total citations
127 papers, 3.1k citations indexed

About

Jing‐fei Dong is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Jing‐fei Dong has authored 127 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Hematology, 42 papers in Immunology and 30 papers in Molecular Biology. Recurrent topics in Jing‐fei Dong's work include Platelet Disorders and Treatments (46 papers), Complement system in diseases (31 papers) and Blood Coagulation and Thrombosis Mechanisms (20 papers). Jing‐fei Dong is often cited by papers focused on Platelet Disorders and Treatments (46 papers), Complement system in diseases (31 papers) and Blood Coagulation and Thrombosis Mechanisms (20 papers). Jing‐fei Dong collaborates with scholars based in United States, China and Netherlands. Jing‐fei Dong's co-authors include Jianning Zhang, Jianning Zhang, Fu‐Dong Shi, Robert K. Andrews, José A. López, Michael C. Berndt, Fangyi Zhang, Kaibin Shi, Ye Tian and Zilong Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Jing‐fei Dong

122 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐fei Dong United States 32 912 877 748 579 390 127 3.1k
Frederik Denorme United States 26 595 0.7× 632 0.7× 479 0.6× 851 1.5× 158 0.4× 64 2.9k
Rolando E. Rumbaut United States 28 496 0.5× 652 0.7× 97 0.1× 527 0.9× 221 0.6× 81 2.4k
R. H. Adamson United States 33 169 0.2× 1.1k 1.2× 197 0.3× 290 0.5× 335 0.9× 54 3.1k
Lalitha Nayak United States 19 237 0.3× 839 1.0× 252 0.3× 326 0.6× 200 0.5× 57 2.0k
Anna M. Randi United Kingdom 40 933 1.0× 2.2k 2.5× 103 0.1× 848 1.5× 668 1.7× 100 4.9k
Yukio Ozaki Japan 39 1.7k 1.9× 1.1k 1.3× 416 0.6× 835 1.4× 1.8k 4.7× 178 6.4k
Wenche Jy United States 41 1.9k 2.0× 3.0k 3.4× 208 0.3× 1.4k 2.5× 471 1.2× 121 6.1k
Konstantin Stark Germany 20 281 0.3× 550 0.6× 105 0.1× 517 0.9× 253 0.6× 51 2.1k
Pablo Garcı́a de Frutos Spain 36 1.3k 1.4× 790 0.9× 124 0.2× 1.7k 3.0× 528 1.4× 92 3.9k
András Gruber United States 48 3.6k 3.9× 611 0.7× 120 0.2× 792 1.4× 589 1.5× 147 6.2k

Countries citing papers authored by Jing‐fei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐fei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐fei Dong. 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 Jing‐fei Dong. The network helps show where Jing‐fei Dong may publish in the future.

Co-authorship network of co-authors of Jing‐fei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐fei Dong. A scholar is included among the top collaborators of Jing‐fei Dong 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 Jing‐fei Dong. Jing‐fei Dong 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.
Liu, Xilei, Yalong Gao, Lei Li, et al.. (2025). Glioblastoma Cells Express and Secrete Alternatively Spliced Transcripts of Coagulation Factor X. Biomedicines. 13(3). 576–576.
2.
Lu, Xiaoxi, Yingang Wu, Tristan Hilton, et al.. (2025). Metabolically aberrant extracellular mitochondria induce oxidative endotheliopathy in traumatic brain injury. Blood Advances. 9(9). 2079–2090.
3.
Li, Fanjian, Hui Guo, Guili Yang, et al.. (2025). Extracellular mitochondria contribute to acute lung injury via disrupting macrophages after traumatic brain injury. Journal of Neuroinflammation. 22(1). 63–63. 2 indexed citations
4.
5.
Houck, Katie, Rosemary A. Kozar, Angelo Nascimbene, et al.. (2024). RBCs regulate platelet function and hemostasis under shear conditions through biophysical and biochemical means. Blood. 144(14). 1521–1531. 5 indexed citations
6.
Liu, Wei, Kavita Patel, Yi Wang, et al.. (2023). Dynamic and functional linkage between von Willebrand factor and ADAMTS-13 with aging: an Atherosclerosis Risk in Community study. Journal of Thrombosis and Haemostasis. 21(12). 3371–3382. 8 indexed citations
7.
Gao, Yang, et al.. (2023). Exploring the Potential Molecular Mechanism of Sijunzi Decoction in the Treatment of Non-Segmental Vitiligo Based on Network Pharmacology and Molecular Docking. Clinical Cosmetic and Investigational Dermatology. Volume 16. 821–836. 7 indexed citations
8.
Dong, Jing‐fei, et al.. (2023). Clot Retraction and Its Correlation with the Function of Platelet Integrin αIIbβ3. Biomedicines. 11(9). 2345–2345. 5 indexed citations
9.
Zhou, Zhou, Ruidong Ma, Huaizhu Wu, et al.. (2023). Recombinant ADAMTS-13 Improves Survival of Mice Subjected to Endotoxemia. International Journal of Molecular Sciences. 24(14). 11782–11782. 3 indexed citations
10.
Lin, Jiangguo, Yang Pu, Silu Liu, et al.. (2023). Force-induced biphasic regulation of VWF cleavage by ADAMTS13. Thrombosis Research. 229. 99–106. 3 indexed citations
11.
Goswami, Julie, Michael J. Ferrara, Denise B. Klinkner, et al.. (2022). Plasma thrombin generation kinetics in trauma patients across the age spectrum. SHILAP Revista de lepidopterología. 10. 100117–100117. 2 indexed citations
12.
Wang, Min, Wei Cai, Aijun Yang, et al.. (2022). Gastric cancer cell-derived extracellular vesicles disrupt endothelial integrity and promote metastasis. Cancer Letters. 545. 215827–215827. 18 indexed citations
13.
Bailey, S. Lawrence, Molly Y. Mollica, Jill Corson, et al.. (2021). Storage temperature determines platelet GPVI levels and function in mice and humans. Blood Advances. 5(19). 3839–3849. 26 indexed citations
14.
Han, Cha, et al.. (2020). Oxidative Stress and Preeclampsia-Associated Prothrombotic State. Antioxidants. 9(11). 1139–1139. 34 indexed citations
15.
Zhao, Zilong, Fanjian Li, Qi Guo, et al.. (2019). Structural and Functional Plasticity of Collagen Fibrils. DNA and Cell Biology. 38(4). 367–373. 4 indexed citations
16.
Zhao, Zilong, Min Wang, Ye Tian, et al.. (2016). Cardiolipin-mediated procoagulant activity of mitochondria contributes to traumatic brain injury–associated coagulopathy in mice. Blood. 127(22). 2763–2772. 77 indexed citations
17.
18.
Zhang, Sai, et al.. (2011). Dynamic Changes of Vascular Endothelial Growth Factor and Angiopoietin-1 in Association With Circulating Endothelial Progenitor Cells After Severe Traumatic Brain Injury. The Journal of Trauma: Injury, Infection, and Critical Care. 70(6). 1480–1484. 18 indexed citations
19.
Wei, Huijie, Li Liu, Yong Xu, et al.. (2011). Changes and function of circulating endothelial progenitor cells in patients with cerebral aneurysm. Journal of Neuroscience Research. 89(11). 1822–1828. 41 indexed citations
20.
Bergeron, Angela L., et al.. (2003). Duration of exposure to high fluid shear stress is critical in shear-induced platelet activation-aggregation. Thrombosis and Haemostasis. 90(10). 672–678. 47 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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