Jun Su

2.0k citations
43 papers · 1.6k indexed · 1 hit paper · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology

Papers in

    • Atherosclerosis and Cardiovascular Diseases 15
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • RNA modifications and cancer 6
    • RNA Research and Splicing 5
    • Circular RNAs in diseases 4

Jun Su

42 papers receiving 1.6k citations

Hit Papers

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
170Years since publication51015

Peers

Jun Su
Comparison fields: 5 of 93
  • Cancer Research 531
  • Immunology 612
  • Rheumatology 317
  • Molecular Biology 753
  • Immunology and Allergy 53
Replace Kimihiko Nakatani with:
Kimihiko Nakatani Japan
Anne Crilly United Kingdom
Carl Orr Ireland
Seung Cheol Shim South Korea
Yasuhiko Nishioka Japan
Thea Kalebic United States
Ke Liu China
Jinxia Zhao China
Dirk M. Wuttge Sweden
Tsan‐Teng Ou Taiwan
Jun Su relative to Kimihiko Nakatani Japan Kimihiko Nakatani's profile →
Citations per field
00.5×2.6×
Kimihiko Nakatani · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Su Line = papers co-authored together Jun Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018221
2 2005143
3 2018100
4 200896
5 201095
6 200989
7 201784
8 201673
9 200867
10 201360
11 201958
12 201450
13 201237
14 201830
15 201729
16 201327
17 200927
18 201226
19 201926
20 201920

About Jun Su

Jun Su is a scholar working on Immunology, Molecular Biology, Rheumatology, Cancer Research and Oncology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Systemic Lupus Erythematosus Research (9 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Acute Myeloid Leukemia Research (5 papers), RNA Research and Splicing (5 papers), Circular RNAs in diseases (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Cancer Research (531 citations), Immunology (612 citations), Rheumatology (317 citations), Molecular Biology (753 citations) and Immunology and Allergy (53 citations). Jun Su has collaborated with scholars based in China, Sweden and Germany. Frequent 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. Their work appears in journals such as Atherosclerosis, PLoS ONE, Scandinavian Journal of Rheumatology, Gene and Cell Death and Disease.

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