Nan Shen

20.1k citations
257 papers · 11.0k indexed · 5 hit papers · h-index 50

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses

Papers in

    • Systemic Lupus Erythematosus Research 73
    • T-cell and B-cell Immunology 29
    • Immune Cell Function and Interaction 25
    • interferon and immune responses 18

Nan Shen

244 papers receiving 10.9k citations

Hit Papers

Plant flavonoids: Classification, distribution, biosynthesis, and antioxidant activity 2022 · 1.3k citations
1.3k20092026201420204008001.2k

Peers

Nan Shen
Comparison fields: 5 of 151
  • Cancer Research 3.0k
  • Immunology 3.5k
  • Rheumatology 1.9k
  • Molecular Biology 5.1k
  • Biochemistry 385
Replace Qingbo Xu with:
Qingbo Xu United Kingdom
Mehdi Shakibaei Germany
Changyi Chen United States
Hong Wang United States
Shun‐Fa Yang Taiwan
Guo‐Ping Shi United States
Menno P.J. de Winther Netherlands
Chih‐Hsin Tang Taiwan
Yoshiki Miyachi Japan
Mi‐La Cho South Korea
Nan Shen relative to Qingbo Xu United Kingdom Qingbo Xu's profile →
Citations per field
00.5×1.7×
Qingbo Xu · 1×
Citations per year

Countries citing papers authored by Nan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Nan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20243
4 20242
5 20241
6 202413
7 20244
8 20240
9 20233
10 202347
11 20233
12 20236
13 20231
14 20235
15 202310
16 20233
17 202111
18 202078
19 201965
20 201574

About Nan Shen

Nan Shen is a scholar working on Rheumatology, Immunology, Cancer Research, Nephrology and Molecular Biology, having authored 257 papers that have together received 11.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (73 papers), MicroRNA in disease regulation (31 papers), T-cell and B-cell Immunology (29 papers), Immune Cell Function and Interaction (25 papers), Cancer-related molecular mechanisms research (22 papers), Cytokine Signaling Pathways and Interactions (21 papers), interferon and immune responses (18 papers) and Circular RNAs in diseases (12 papers). The work is most often cited by research in Cancer Research (3.0k citations), Immunology (3.5k citations), Rheumatology (1.9k citations), Molecular Biology (5.1k citations) and Biochemistry (385 citations). Nan Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanjia Tang, Biao Jin, Lı Wang, Sian Liu, Quan Gan, Tongfei Wang, Huijuan Cui, Xiaobing Luo, Shun‐le Chen and Xinfang Huang. Their work appears in journals such as Arthritis & Rheumatology, Frontiers in Immunology, Arthritis Research & Therapy, Scientific Reports and PLoS ONE.

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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