Mark T. Scherer

746 citations
10 papers · 656 indexed · h-index 8

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4

Mark T. Scherer

10 papers receiving 636 citations

Peers

Mark T. Scherer
Comparison fields: 5 of 66
  • Immunology 491
  • Immunology and Allergy 39
  • Radiology, Nuclear Medicine and Imaging 106
  • Virology 17
  • Genetics 83
Replace Damir Vidović with:
Damir Vidović United States
Brigid M. Balfour Tanzania
A B Reske-Kunz Germany
Laurent Vidard France
R W Dutton United States
C Bona United States
Mary Lou Jelachich United States
G Cavallo Italy
Meryem Aloulou France
N R Cooper United States
Mark T. Scherer relative to Damir Vidović United States Damir Vidović's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark T. Scherer

Since Specialization
Citations

This map shows the geographic impact of Mark T. Scherer'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 Mark T. Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Scherer more than expected).

Fields of papers citing papers by Mark T. Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Scherer. 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 Mark T. Scherer. The network helps show where Mark T. Scherer may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 199658
2 19963
3 199558
4 19947
5 1993213
6 199376
7 199281
8 199084
9 198911
10 198965

About Mark T. Scherer

Mark T. Scherer is a scholar working on Immunology, Virology, Microbiology, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 656 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), vaccines and immunoinformatics approaches (2 papers), Herpesvirus Infections and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (491 citations), Immunology and Allergy (39 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Virology (17 citations) and Genetics (83 citations). Mark T. Scherer has collaborated with scholars based in United States and Italy. Frequent co-authors include Philippa Marrack, John W. Kappler, Gary M. Winslow, Leszek Ignatowicz, John A. Smith, Malcolm L. Gefter, Ann M. Pullen, Francesco Ria, Bosco M. C. Chan and Thomas J. Briner. Their work appears in journals such as The Journal of Immunology, Science, The Journal of Experimental Medicine, Nature and Cell.

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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