Shun‐le Chen

5.0k citations
61 papers · 3.7k indexed · 2 hit papers · h-index 26

Shun‐le Chen

61 papers receiving 3.6k citations

Hit Papers

MicroRNA‐146a contributes to abnormal activation of the t...6022007202620132019250500750

Peers

Shun‐le Chen
Comparison fields: 5 of 121
  • Rheumatology 1.5k
  • Immunology 1.4k
  • Cancer Research 778
  • Pathology and Forensic Medicine 878
  • Nephrology 175
Replace Jong Dae Ji with:
Jong Dae Ji South Korea
Péter Szodoray Hungary
Margit Zeher Hungary
Shingo Nakayamada Japan
Yves Renaudineau France
Johanna Westra Netherlands
Ram Raj Singh United States
Sándor Sipka Hungary
Yan Liang China
José C. Crispín United States
Shun‐le Chen relative to Jong Dae Ji South Korea Jong Dae Ji's profile →
Citations per field
00.5×1.5×2.4×
Jong Dae Ji · 1×
Citations per year

Countries citing papers authored by Shun‐le Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐le Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐le Chen. 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 Shun‐le Chen. The network helps show where Shun‐le Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shun‐le Chen, 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 Shun‐le Chen Line = papers co-authored together Shun‐le Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201711
2 20141
3 201323
4
Consensus Definition and Preliminary Validation Of a Low Disease Activity State In Systemic Lupus Erythematosus
20132
5 201240
6 201110
7 201031
8
The significance of the RANKL and OPG gene expression in the initial systemic lupus erythematosus patients
20091
9 200842
10 200829
11 200823
12 200739
13 200643
14 20066
15 200624
16 200525
17 200518
18
Leflunomide, a new disease-modifying drug for treating active rheumatoid arthritis in methotrexate-controlled phase II clinical trial
20037
19
Transfection, overexpression and clinical application of human 60 kDa Ro/SSA autoantigens in HEp-2 cells.
20031
20 19874

About Shun‐le Chen

Shun‐le Chen is a scholar working on Rheumatology, Immunology and Hepatology, having authored 61 papers that have together received 3.7k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (36 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Rheumatoid Arthritis Research and Therapies (8 papers), T-cell and B-cell Immunology (7 papers), interferon and immune responses (6 papers), Liver Diseases and Immunity (6 papers), Immune Cell Function and Interaction (6 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). The work is most often cited by research in Rheumatology (1.5k citations), Immunology (1.4k citations) and Cancer Research (778 citations). Shun‐le Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sheng Chen, Gary P. Sims, Peter E. Lipsky, Nan Shen, Xinfang Huang, Yuanjia Tang, Xiaobing Luo, Huijuan Cui, Chunde Bao and Haibo Zhou. Their work appears in journals such as Arthritis Research & Therapy, Clinical Rheumatology, Modern Rheumatology, The Journal of Immunology and Blood.

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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