Todd A. DeVries

1.7k citations
35 papers · 1.1k · h-index 14

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • CAR-T cell therapy research 8
    • Immunotherapy and Immune Responses 5
    • Biosimilars and Bioanalytical Methods 4

Todd A. DeVries

34 papers receiving 1.1k citations

Peers

Todd A. DeVries
Comparison fields: 5 of 85
  • Immunology 479
  • Rheumatology 210
  • Oncology 370
  • Hematology 79
  • Pulmonary and Respiratory Medicine 178
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Citations per year

Countries citing papers authored by Todd A. DeVries

Since Specialization
Citations

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

Fields of papers citing papers by Todd A. DeVries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004241
2 2008159
3 2015112
4 199970
5 201565
6 201665
7 201658
8 200054
9 201449
10 200646
11 201436
12 200835
13 201520
14 202015
15 201714
16 202210
17 20239
18 19959
19 20126
20 20206

About Todd A. DeVries

Todd A. DeVries is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Prostate Cancer Treatment and Research (9 papers), CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (5 papers), Biosimilars and Bioanalytical Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Immunology (479 citations), Rheumatology (210 citations), Oncology (370 citations), Hematology (79 citations) and Pulmonary and Respiratory Medicine (178 citations). Todd A. DeVries has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Michael R. Lovy, Shelly P. Kafka, Daniel J. Burge, Michael H. Schiff, Edward Clark Keystone, Joel M. Kremer, Nadeem Anwar Sheikh, Diana Felice Hausman, Eric Jay Small and Thomas A. Gardner. Their work appears in journals such as Blood, Clinical Cancer Research, Annals of Oncology, Journal of the American Academy of Dermatology and Cancer Immunology Research.

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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