Jianmin Sun

5.4k total citations · 1 hit paper
113 papers, 3.1k citations indexed

About

Jianmin Sun is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jianmin Sun has authored 113 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 21 papers in Oncology and 18 papers in Immunology. Recurrent topics in Jianmin Sun's work include Genomics and Chromatin Dynamics (14 papers), Histone Deacetylase Inhibitors Research (12 papers) and Protein Degradation and Inhibitors (11 papers). Jianmin Sun is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Histone Deacetylase Inhibitors Research (12 papers) and Protein Degradation and Inhibitors (11 papers). Jianmin Sun collaborates with scholars based in China, Sweden and Hong Kong. Jianmin Sun's co-authors include James Davie, Julhash U. Kazi, Lars Rönnstrand, Shihua He, Lin Li, Kinjal Shah, Amr Al‐Haidari, Hou Yu Chen, Malin Pedersen and Lin Li and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Jianmin Sun

108 papers receiving 3.0k citations

Hit Papers

T cell receptor (TCR) sig... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianmin Sun China 33 1.7k 592 548 402 342 113 3.1k
William L. Blalock Italy 30 2.9k 1.7× 497 0.8× 931 1.7× 699 1.7× 332 1.0× 73 4.3k
Frank D. Böhmer Germany 25 2.2k 1.3× 825 1.4× 619 1.1× 310 0.8× 534 1.6× 47 3.2k
Joseph Fargnoli United States 34 2.3k 1.4× 826 1.4× 750 1.4× 627 1.6× 134 0.4× 56 3.9k
Susan L. Kelley United States 17 1.3k 0.8× 642 1.1× 888 1.6× 315 0.8× 310 0.9× 26 3.4k
Michael Höcker Germany 29 2.6k 1.5× 567 1.0× 966 1.8× 438 1.1× 165 0.5× 61 4.3k
Nicole M. Verrills Australia 28 1.8k 1.1× 276 0.5× 413 0.8× 357 0.9× 289 0.8× 69 2.7k
Nancy Krett United States 35 2.1k 1.3× 522 0.9× 906 1.7× 436 1.1× 499 1.5× 76 3.5k
Jingxuan Pan China 38 2.7k 1.6× 409 0.7× 1.0k 1.9× 795 2.0× 591 1.7× 90 4.1k
Kristopher A. Sarosiek United States 24 2.4k 1.4× 697 1.2× 876 1.6× 594 1.5× 209 0.6× 58 3.7k
William Westlin United States 24 1.2k 0.7× 492 0.8× 545 1.0× 555 1.4× 218 0.6× 65 3.0k

Countries citing papers authored by Jianmin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jianmin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianmin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jianmin Sun. A scholar is included among the top collaborators of Jianmin Sun 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 Jianmin Sun. Jianmin Sun 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.
Yang, Anning, Hongwen Zhang, Huiping Zhang, et al.. (2025). Pitavastatin and resveratrol bio-nanocomplexes against hyperhomocysteinemia-induced atherosclerosis via blocking ferroptosis-related lipid deposition. Journal of Controlled Release. 381. 113598–113598. 10 indexed citations
2.
Gialeli, Chrysostomi, Annelie Shami, Jianmin Sun, et al.. (2024). The extracellular matrix proteoglycan serglycin is associated with human atherosclerotic plaque inflammation. Cardiovascular Research. 120(Supplement_1).
3.
Wang, Chengdong, Ziran Liu, Qi Long, et al.. (2024). ZSWIM4 regulates embryonic patterning and BMP signaling by promoting nuclear Smad1 degradation. EMBO Reports. 25(2). 646–671. 3 indexed citations
4.
Sun, Jianmin, et al.. (2023). MiR-194-5p suppresses the warburg effect in ovarian cancer cells through the IGF1R/PI3K/AKT axis. Biocell. 47(3). 547–554. 2 indexed citations
5.
Du, Lijun, et al.. (2023). MiR-19a-3p Promotes Aerobic Glycolysis in Ovarian Cancer Cells via IGFBP3/PI3K/AKT Pathway. Folia Biologica. 69(5-6). 163–172. 4 indexed citations
6.
Wang, Hui, Chengdong Wang, Qi Long, et al.. (2021). Kindlin2 regulates neural crest specification via integrin-independent regulation of the FGF signaling pathway. Development. 148(10). 7 indexed citations
7.
Chen, Qin, Long Chen, Zhen Ye, et al.. (2020). Physiological benefits evaluated by quantitative flow ratio in patients with reduced left ventricular ejection fraction who underwent percutaneous coronary intervention. BMC Cardiovascular Disorders. 20(1). 523–523. 4 indexed citations
9.
Lall, Manjinder S., Yong Tao, Joel T. Arcari, et al.. (2018). Process Development for the Synthesis of Monocyclic β-Lactam Core 17. Organic Process Research & Development. 22(2). 212–218. 12 indexed citations
10.
Xiong, Jiantuan, Ning Ding, Tingting Gao, et al.. (2018). Hypermethylation of endoplasmic reticulum disulfide oxidase 1α leads to trophoblast cell apoptosis through endoplasmic reticulum stress in preeclampsia. Journal of Cellular Biochemistry. 119(10). 8588–8599. 13 indexed citations
11.
Albrow, Victoria E., Rachel L. Grimley, Colin R. Rose, et al.. (2016). Design and development of histone deacetylase (HDAC) chemical probes for cell-based profiling. Molecular BioSystems. 12(6). 1781–1789. 10 indexed citations
12.
Ke, Hengning, Julhash U. Kazi, Hui Zhao, & Jianmin Sun. (2016). Germline mutations of KIT in gastrointestinal stromal tumor (GIST) and mastocytosis. Cell & Bioscience. 6(1). 55–55. 37 indexed citations
13.
Su, Xianwei, et al.. (2016). Src-like adaptor protein 2 (SLAP2) binds to and inhibits FLT3 signaling. Oncotarget. 7(36). 57770–57782. 9 indexed citations
14.
Kabir, Nuzhat N., et al.. (2015). The role of HOXB2 and HOXB3 in acute myeloid leukemia. Biochemical and Biophysical Research Communications. 467(4). 742–747. 29 indexed citations
15.
Phung, Bengt, Jianmin Sun, Alexander Schepsky, Eirı́kur Steingrı́msson, & Lars Rönnstrand. (2012). Abstract 3093: Elucidation of c-KIT- dependent signaling to MITF. Cancer Research. 72(8_Supplement). 3093–3093. 1 indexed citations
16.
Sun, Jianmin, et al.. (2011). Inhibition of MEK5 by BIX02188 induces apoptosis in cells expressing the oncogenic mutant FLT3-ITD. Biochemical and Biophysical Research Communications. 412(2). 307–312. 24 indexed citations
17.
Zadjali, Fahad, A.C.W. Pike, Mattias Vesterlund, et al.. (2010). Structural Basis for c-KIT Inhibition by the Suppressor of Cytokine Signaling 6 (SOCS6) Ubiquitin Ligase. Journal of Biological Chemistry. 286(1). 480–490. 57 indexed citations
18.
Yuan, Bin, Jianmin Sun, Chunmei Hou, et al.. (2000). Study of time response of fission neutrons induced apoptosis in murine thymocytes and its molecular mechanism. Lund University Publications (Lund University). 24(3). 184–184. 1 indexed citations
19.
Sun, Jianmin, Hou Yu Chen, & James Davie. (1994). Nuclear factor 1 is a component of the nuclear matrix. Journal of Cellular Biochemistry. 55(2). 252–263. 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.

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