Jun Su

2.0k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

Jun Su is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Jun Su has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 16 papers in Molecular Biology and 10 papers in Rheumatology. Recurrent topics in Jun Su's work include Atherosclerosis and Cardiovascular Diseases (15 papers), Systemic Lupus Erythematosus Research (9 papers) and Cancer-related molecular mechanisms research (7 papers). Jun Su is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (15 papers), Systemic Lupus Erythematosus Research (9 papers) and Cancer-related molecular mechanisms research (7 papers). Jun Su collaborates with scholars based in China, Sweden and Germany. Jun Su's co-authors include Johan Frostegård, Ulf dé Fairé, Hua Xiang, Erbao Zhang, Xuezhi He, Liang Han, Dandan Yin, Xiyi Lu, Wei De and Dong Shen and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Jun Su

42 papers receiving 1.6k citations

Hit Papers

NNMT promotes acquired EGFR-TKI resistance by forming EGR... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NNMT promotes acquired EGFR-TKI resistance by forming EGR1 and lactate-mediated double positive feedback loops in non-small cell lung cancer
    2025 17 citations Xiyi Lu, Jun Su et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Su China 20 753 612 531 317 181 43 1.6k
Ke Liu China 17 414 0.5× 276 0.5× 261 0.5× 237 0.7× 146 0.8× 48 1.1k
Anne Crilly United Kingdom 17 395 0.5× 312 0.5× 182 0.3× 608 1.9× 101 0.6× 34 1.4k
Kimihiko Nakatani Japan 16 542 0.7× 249 0.4× 203 0.4× 179 0.6× 81 0.4× 47 1.5k
Dirk M. Wuttge Sweden 20 320 0.4× 485 0.8× 116 0.2× 189 0.6× 216 1.2× 37 1.2k
Seung Cheol Shim South Korea 24 386 0.5× 591 1.0× 87 0.2× 586 1.8× 113 0.6× 100 1.5k
Shushan Yan China 25 1.2k 1.6× 188 0.3× 881 1.7× 197 0.6× 165 0.9× 58 1.9k
Yujin Ye China 22 412 0.5× 312 0.5× 103 0.2× 503 1.6× 128 0.7× 42 1.3k
Kaı̈ss Lassoued France 25 575 0.8× 644 1.1× 92 0.2× 265 0.8× 246 1.4× 64 1.9k
Dimitrios Tsiantoulas Austria 19 562 0.7× 1.4k 2.3× 81 0.2× 262 0.8× 354 2.0× 30 2.0k
Yutaka Kurebayashi Japan 16 356 0.5× 588 1.0× 249 0.5× 73 0.2× 146 0.8× 42 1.3k

Countries citing papers authored by Jun Su

Since Specialization
Citations

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

Fields of papers citing papers by Jun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Su. A scholar is included among the top collaborators of Jun Su 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 Jun Su. Jun Su 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.
2.
Frostegård, Johan, et al.. (2024). Antibodies Against Phosphorylcholine in Prediction of Cardiovascular Disease Among Women. JACC Advances. 3(11). 101298–101298. 1 indexed citations
3.
4.
5.
Zhang, Erbao, Xuezhi He, Chongguo Zhang, et al.. (2018). A novel long noncoding RNA HOXC-AS3 mediates tumorigenesis of gastric cancer by binding to YBX1. Genome biology. 19(1). 154–154. 221 indexed citations
6.
Dong, Yucui, Zhaoyu Liu, Yan Zou, et al.. (2017). DNA methylation-mediated caspase-8 downregulation is associated with anti-apoptotic activity and human malignant glioma grade. International Journal of Molecular Medicine. 39(3). 725–733. 12 indexed citations
7.
Su, Jun, Erbao Zhang, Liang Han, et al.. (2017). Long noncoding RNA BLACAT1 indicates a poor prognosis of colorectal cancer and affects cell proliferation by epigenetically silencing of p15. Cell Death and Disease. 8(3). e2665–e2665. 84 indexed citations
8.
Liu, Xiulin, et al.. (2016). Analysis of Meta-QTL and Candidate Genes Related to Phosphrous Related Root Traits in Maize. 24(6). 35. 1 indexed citations
9.
Zheng, Qin, Xiao Shuai, Yuanxin Ye, et al.. (2016). The role of polymorphisms of stromal-derived factor-1 and CXC receptor 4 in acute myeloid leukemia and leukemia cell dissemination. Gene. 588(2). 103–108. 13 indexed citations
10.
Liu, Zhili, et al.. (2016). Prognostic performance of pre-treatment NLR and PLR in patients suffering from osteosarcoma. World Journal of Surgical Oncology. 14(1). 127–127. 73 indexed citations
11.
Su, Jun. (2014). Establishment and Application of PCR-SSR Based Method to Quickly Detect Exogenous Chromosome Fragments in Cotton. Journal of Pharmaceutical and Biomedical Sciences. 1 indexed citations
12.
Wan, Min, et al.. (2014). Oxidized but not native cardiolipin has pro-inflammatory effects, which are inhibited by Annexin A5. Atherosclerosis. 235(2). 592–598. 50 indexed citations
13.
14.
Wang, Chao, Jun Su, C. M. Chu, et al.. (2014). Effects of resveratrol on cell growth and prolactin synthesis in GH3 cells. Experimental and Therapeutic Medicine. 7(4). 923–928. 10 indexed citations
15.
Su, Jun, Hua Xiang, Max Vikström, et al.. (2013). Low levels of IgM antibodies to oxidized cardiolipin increase and high levels decrease risk of cardiovascular disease among 60-year olds: a prospective study. BMC Cardiovascular Disorders. 13(1). 1–1. 60 indexed citations
16.
17.
Su, Jun, et al.. (2010). Effects of anti-cardiolipin antibodies and IVIg on annexin A5 binding to endothelial cells: implications for cardiovascular disease. Scandinavian Journal of Rheumatology. 39(1). 77–83. 14 indexed citations
18.
Xiang, Hua, Jun Su, Elisabet Svenungsson, et al.. (2009). Dyslipidaemia and lipoprotein pattern in systemic lupus erythematosus (SLE) and SLE‐related cardiovascular disease. Scandinavian Journal of Rheumatology. 38(3). 184–189. 27 indexed citations
19.
Su, Jun, Ingrid Dahlbom, Hans Grönlund, et al.. (2008). Low levels of IgM antibodies against phosphorylcholine—A potential risk marker for ischemic stroke in men. Atherosclerosis. 203(2). 528–532. 67 indexed citations
20.
Su, Jun, Anastasia Georgiades, Ruihua Wu, et al.. (2005). Antibodies of IgM subclass to phosphorylcholine and oxidized LDL are protective factors for atherosclerosis in patients with hypertension. Atherosclerosis. 188(1). 160–166. 143 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

Breakdown of academic impact, for papers by Ke Liu Breakdown of academic impact, for papers by Anne Crilly Breakdown of academic impact, for papers by Kimihiko Nakatani Breakdown of academic impact, for papers by Dirk M. Wuttge Breakdown of academic impact, for papers by Seung Cheol Shim Breakdown of academic impact, for papers by Shushan Yan Breakdown of academic impact, for papers by Yujin Ye Breakdown of academic impact, for papers by Kaı̈ss Lassoued Breakdown of academic impact, for papers by Dimitrios Tsiantoulas Breakdown of academic impact, for papers by Yutaka Kurebayashi
Rankless by CCL
2026