Mark E. DeVries

1.8k citations
20 papers · 1.2k · h-index 15

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Aquaculture disease management and microbiota
    • Cell Adhesion Molecules Research

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Response and Inflammation 4
    • interferon and immune responses 2
    • Immune Cell Function and Interaction 2
    • Chemokine receptors and signaling 10

Mark E. DeVries

20 papers receiving 1.2k citations

Peers

Mark E. DeVries
Comparison fields: 5 of 91
  • Immunology 559
  • Immunology and Allergy 98
  • Oncology 384
  • Cellular and Molecular Neuroscience 203
  • Molecular Biology 494
Replace Sandra Beer with:
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Mark E. DeVries relative to Sandra Beer Germany Sandra Beer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark E. DeVries

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. DeVries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006223
2 2000206
3 2006199
4 1999118
5 199895
6 199971
7 199758
8 200054
9 200238
10 200032
11 200823
12 200323
13 200519
14 200618
15 200716
16 20065
17 20082
18 20052
19 20181
20
[Treatment of rheumatoid arthritis with levamisole. Preliminary study of clinical and immunological results].
19771

About Mark E. DeVries

Mark E. DeVries is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Infectious Diseases, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (10 papers), T-cell and B-cell Immunology (7 papers), Immune Response and Inflammation (4 papers), Xenotransplantation and immune response (3 papers), Receptor Mechanisms and Signaling (3 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Immunology (559 citations), Immunology and Allergy (98 citations), Oncology (384 citations), Cellular and Molecular Neuroscience (203 citations) and Molecular Biology (494 citations). Mark E. DeVries has collaborated with scholars based in Canada, United States and France. Frequent co-authors include David J. Kelvin, Luoling Xu, Longsi Ran, Jeffrey Skolnick, Yang Zhang, Alyson A. Kelvin, Joseph Andrews, John F. Robinson, Jana Barlic and Ross D. Feldman. Their work appears in journals such as The Journal of Immunology, PLoS Computational Biology, Seminars in Immunology, Journal of Biological Chemistry and European Journal of 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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