Ming-Ru Wu

1.1k citations
18 papers · 837 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 11
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 1

Ming-Ru Wu

17 papers receiving 823 citations

Peers

Ming-Ru Wu
Comparison fields: 5 of 88
  • Immunology 359
  • Oncology 423
  • Biotechnology 48
  • Molecular Biology 349
  • Genetics 121
Replace Naveen K. Mehta with:
Naveen K. Mehta United States
Nicole Berndt Germany
John S. Bridgeman United Kingdom
Matthew Tiffany United States
Alireza Labani‐Motlagh Sweden
Zhenqing Feng China
Alba Rodríguez-García United States
Amanda Corder United States
Leah V. Sibener United States
Ming-Ru Wu relative to Naveen K. Mehta United States Naveen K. Mehta's profile →
Citations per field
00.5×8.8×
Naveen K. Mehta · 1×
Citations per year

Countries citing papers authored by Ming-Ru Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ru Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
NKG2D ligands as therapeutic targets.
2013204
2 2017117
3 2012114
4 201969
5 200861
6 201553
7 201951
8 201649
9 201432
10 201826
11 202219
12 202415
13 201710
14 19989
15 20144
16 20233
17 20231
18 20170

About Ming-Ru Wu

Ming-Ru Wu is a scholar working on Oncology, Immunology, Molecular Biology, Surgery and Otorhinolaryngology, having authored 18 papers that have together received 837 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (6 papers), CRISPR and Genetic Engineering (5 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), interferon and immune responses (1 paper) and Sinusitis and nasal conditions (1 paper). The work is most often cited by research in Immunology (359 citations), Oncology (423 citations), Biotechnology (48 citations), Molecular Biology (349 citations) and Genetics (121 citations). Ming-Ru Wu has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Charles L. Sentman, Tong Zhang, Marie-Louise Sentman, Paul W. Spear, Timothy K. Lu, Barbara Jusiak, Lior Nissim, Yuval Tabach, Doron Stupp and Claudia C. Wehrspaun. Their work appears in journals such as The Journal of Immunology, Nature Communications, Nature reviews. Cancer, The Journal of Laryngology & Otology and Cellular and Molecular Immunology.

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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