Runpei Wu

3.3k citations
36 papers · 2.5k · h-index 24

Impact in

Papers in

    • Immune Cell Function and Interaction 11
    • Atherosclerosis and Cardiovascular Diseases 9
    • Immune cells in cancer 7
    • T-cell and B-cell Immunology 5
    • Macrophage Migration Inhibitory Factor 4
    • Pancreatic function and diabetes 8

Runpei Wu

35 papers receiving 2.5k citations

Peers

Runpei Wu
Comparison fields: 5 of 96
  • Immunology 1.2k
  • Endocrinology, Diabetes and Metabolism 255
  • Oncology 376
  • Surgery 565
  • Cancer Research 194
Replace Alan Cheng with:
Alan Cheng United States
Gabrielle Paulsson‐Berne Sweden
Fabien Schmidlin France
Hong Pei United States
Saj Parathath United States
Taku Yoshida Japan
Jianguo Jin United States
Saptarsi M. Haldar United States
Bishuang Cai United States
Mary M. Kavurma Australia
Runpei Wu relative to Alan Cheng United States Alan Cheng's profile →
Citations per field
00.5×2.6×
Alan Cheng · 1×
Citations per year

Countries citing papers authored by Runpei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Runpei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011346
2 2015344
3 2009214
4 2015171
5 2018157
6 2018133
7 2008116
8 202084
9 200277
10 201076
11 201075
12 201769
13 201667
14 200255
15 200354
16 200349
17 200848
18 201546
19 200939
20 200338

About Runpei Wu

Runpei Wu is a scholar working on Immunology, Surgery, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (7 papers), Immune cells in cancer (7 papers), T-cell and B-cell Immunology (5 papers), Single-cell and spatial transcriptomics (4 papers) and Macrophage Migration Inhibitory Factor (4 papers). The work is most often cited by research in Immunology (1.2k citations), Endocrinology, Diabetes and Metabolism (255 citations), Oncology (376 citations), Surgery (565 citations) and Cancer Research (194 citations). Runpei Wu has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Catherine C. Hedrick, Craig S. Nunemaker, Jeffrey D. Carter, Jerry L. Nadler, Richard N. Hanna, Duygu Sağ, Zandong Yang, Caglar Cekic, Iftach Shaked and Klaus Ley. Their work appears in journals such as The Journal of Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Nature Communications, 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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