Zeyang Shen

1.4k citations
18 papers · 321 · h-index 10

Impact in

    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • NF-κB Signaling Pathways

Papers in

Zeyang Shen

17 papers receiving 321 citations

Peers

Zeyang Shen
Comparison fields: 5 of 76
  • Immunology 124
  • Cancer Research 49
  • Molecular Biology 174
  • Molecular Medicine 9
  • Genetics 43
Replace Rachid Zagani with:
Rachid Zagani United States
Nasir Javaid South Korea
M. Ben Hammouda Tunisia
Tianling Hou United States
Mingang Zhu China
Itishri Sahu India
Mitsuru Higa Japan
Marie‐Laure Curchod Switzerland
Meilin Chen China
Xiaofang Xu China
Zeyang Shen relative to Rachid Zagani United States Rachid Zagani's profile →
Citations per field
00.5×2.7×
Rachid Zagani · 1×
Citations per year

Countries citing papers authored by Zeyang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zeyang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200262
2 201945
3 202239
4 202438
5 199629
6 202127
7 199324
8 202410
9 20209
10 20229
11 20229
12 19948
13 20235
14 20173
15 20172
16
Research Repor t Multiple Transcription Factor Profiling by Enzyme-Linked Immunoassa y
20021
17 20161
18 20230

About Zeyang Shen

Zeyang Shen is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), NF-κB Signaling Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Cardiac Imaging and Diagnostics (3 papers), Medical Imaging Techniques and Applications (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Immunology (124 citations), Cancer Research (49 citations), Molecular Biology (174 citations), Molecular Medicine (9 citations) and Genetics (43 citations). Zeyang Shen has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include David M. Byers, Christopher K. Glass, Paul D. Siebert, Marten A. Hoeksema, Christopher Benner, Jenhan Tao, Mashito Sakai, Gregory J. Fonseca, Tobias Strid and Sascha H. Duttke. Their work appears in journals such as Journal of Bacteriology, BioTechniques, Nature Communications, Bioinformatics and Immunity.

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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