Mark D. Crew

1.2k citations
38 papers · 1.1k · h-index 18

Impact in

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 10
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 4
    • RNA Interference and Gene Delivery 3

Mark D. Crew

38 papers receiving 1.0k citations

Peers

Mark D. Crew
Comparison fields: 5 of 78
  • Aging 40
  • Endocrinology, Diabetes and Metabolism 196
  • Nephrology 74
  • Immunology 209
  • Genetics 234
Replace Louisa M. Villeneuve with:
Louisa M. Villeneuve United States
Meei‐Hua Lin United States
Danielle Bucchini France
Sanna Lehtonen Finland
Christine Powers United States
Ivan Formentini Switzerland
P. L. Kaye Australia
Winston Thomas United States
James W. DeWille United States
Russell Marians United States
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Citations per field
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Louisa M. Villeneuve · 1×
Citations per year

Countries citing papers authored by Mark D. Crew

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Crew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000148
2 2009117
3 198693
4 200761
5 200657
6 198757
7 199052
8 200344
9 200544
10 199842
11 198740
12 199239
13 198832
14 200631
15 200728
16 199825
17 200220
18 200417
19 199115
20 200415

About Mark D. Crew

Mark D. Crew is a scholar working on Immunology, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (10 papers), Xenotransplantation and immune response (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Aging (40 citations), Endocrinology, Diabetes and Metabolism (196 citations), Nephrology (74 citations), Immunology (209 citations) and Genetics (234 citations). Mark D. Crew has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include S R Spindler, Didier Portilla, Stephen R. Spindler, Roy L. Walford, P.A.L. Wight, Benjamin G. Lilienfeld, Jörg D. Seebach, Frank J. Gonzalez, Bounleut Phanavanh and Jeffrey M. Peters. Their work appears in journals such as Immunogenetics, Molecular Immunology, Xenotransplantation, Molecular Endocrinology and Journal of Biological Chemistry.

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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