Shuhan Yang

1.2k citations
58 papers · 848 · h-index 18

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 5
    • Kruppel-like factors research 3
    • Cancer-related gene regulation 3
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Immune cells in cancer 4

Shuhan Yang

53 papers receiving 830 citations

Peers

Shuhan Yang
Comparison fields: 5 of 125
  • Immunology 205
  • Geriatrics and Gerontology 23
  • Cancer Research 72
  • Cognitive Neuroscience 90
  • Biochemistry 26
Replace Mengmeng Zhang with:
Mengmeng Zhang China
Shanshan Gao China
Zhihua Yang China
Baofu Zhang China
Yifan Chen China
Anna Caretti Italy
Takaaki Inaba Japan
Hyun Ji Kim South Korea
Ka Bian China
Shuhan Yang relative to Mengmeng Zhang China Mengmeng Zhang's profile →
Citations per field
00.5×10×15×
Mengmeng Zhang · 1×
Citations per year

Countries citing papers authored by Shuhan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuhan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202263
2 201857
3 201054
4 202054
5 201848
6 201945
7 202037
8 202230
9 201530
10 202329
11 201629
12 202128
13 202122
14 202322
15 201622
16 202418
17 202018
18 201117
19 202117
20 202116

About Shuhan Yang

Shuhan Yang is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Plant Science, having authored 58 papers that have together received 848 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), T-cell and B-cell Immunology (4 papers), Liver Diseases and Immunity (4 papers), Immune cells in cancer (4 papers), Kruppel-like factors research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Immunology (205 citations), Geriatrics and Gerontology (23 citations), Cancer Research (72 citations), Cognitive Neuroscience (90 citations) and Biochemistry (26 citations). Shuhan Yang has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Zhe‐Xiong Lian, Liang Li, Christopher Chang, M. Eric Gershwin, Cai‐Yue Gao, Fengfeng Zhou, Yuan Yao, Kuan‐Hsing Chen, Jan‐Kan Chen and Chengbo Wang. Their work appears in journals such as Cell Death and Disease, Frontiers in Immunology, Journal of Immunology Research, Sensors and Dyes and Pigments.

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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