M Foo

1.8k citations
9 papers · 1.7k · 1 hit paper · h-index 8

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immunotoxicology and immune responses
    • Cell Adhesion Molecules Research

Papers in

    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 3
    • vaccines and immunoinformatics approaches 3

M Foo

9 papers receiving 1.6k citations

M Foo's Hit Papers

Identification of a monoclonal antibody specific for a murine T3 polypeptide. 1987 · 1.5k citations
1.5k0+13+26Years since publication5001k1.5k

Peers

M Foo
Comparison fields: 5 of 48
  • Immunology 1.3k
  • Immunology and Allergy 38
  • Molecular Biology 250
  • Transplantation 12
  • Radiology, Nuclear Medicine and Imaging 78
Replace Janko Nikolić‐Žugić with:
Janko Nikolić‐Žugić United States
Anna Cambiaggi Italy
Lisa K. Gilliland United States
Paul Gladstone United States
Loes A. Gravestein Netherlands
Helen Pritchard-Briscoe Australia
Brian C. Corliss United States
Niklas Czeloth Germany
Haewon Sohn United States
Dale R. Taylor United Kingdom
M Foo relative to Janko Nikolić‐Žugić United States Janko Nikolić‐Žugić's profile →
Citations per field
00.5×2×3.5×
Janko Nikolić‐Žugić · 1×
Citations per year

Countries citing papers authored by M Foo

Since Specialization
Citations

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

Fields of papers citing papers by M Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M Foo, 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 M Foo Line = papers co-authored together M Foo links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Identification of a monoclonal antibody specific for a murine T3 polypeptide.
Hit paper breakdown →
19871502
2 198651
3 198744
4 198630
5 198527
6 198616
7 198813
8 198711
9 19888

About M Foo

M Foo is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (3 papers), vaccines and immunoinformatics approaches (3 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (38 citations), Molecular Biology (250 citations), Transplantation (12 citations) and Radiology, Nuclear Medicine and Imaging (78 citations). M Foo has collaborated with scholars based in United States and France. Frequent co-authors include Jeffrey A. Bluestone, Oberdan Léo, Lawrence E. Samelson, David H. Sachs, David M. Segal, Ethan M. Shevach, Richard E. Gress, Ralph Quinones, James McCluskey and Richard Anthony Flavell. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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