Mark D. Crew

1.2k citations
36 papers · 1.0k indexed · h-index 18

Impact in

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 10
    • Immunotherapy and Immune Responses 5
    • interferon and immune responses 3
    • RNA Interference and Gene Delivery 3
    • RNA modifications and cancer 3

Mark D. Crew

36 papers receiving 1.0k citations

Peers

Mark D. Crew
Comparison fields: 5 of 79
  • Aging 31
  • Endocrinology, Diabetes and Metabolism 190
  • Nephrology 79
  • Immunology 227
  • Genetics 257
Replace Danielle Bucchini with:
Danielle Bucchini France
Christine Powers United States
Ornella Zollo Italy
Motohito Goto Japan
Diego Sbrissa United States
Barbara Kloeckener‐Gruissem Switzerland
P. L. Kaye Australia
Gabrielle S. Sellick United Kingdom
Claudie Lemercier France
Gustav Hagen Germany
Mark D. Crew relative to Danielle Bucchini France Danielle Bucchini's profile →
Citations per field
00.5×7.2×
Danielle Bucchini · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000133
2 2009117
3 198689
4 200760
5 200656
6 198754
7 199049
8 200343
9 200542
10 199842
11 199238
12 198737
13 200631
14 198831
15 200728
16 199824
17 200219
18 200418
19 200415
20 200514

About Mark D. Crew

Mark D. Crew is a scholar working on Immunology, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (10 papers), Xenotransplantation and immune response (6 papers), Immunotherapy and Immune Responses (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), interferon and immune responses (3 papers), RNA Interference and Gene Delivery (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Aging (31 citations), Endocrinology, Diabetes and Metabolism (190 citations), Nephrology (79 citations), Immunology (227 citations) and Genetics (257 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, Roy L. Walford, Stephen R. Spindler, P.A.L. Wight, Benjamin G. Lilienfeld, Jörg D. Seebach, Bounleut Phanavanh, Frank J. Gonzalez and Alan D. Proia. Their work appears in journals such as Immunogenetics, Xenotransplantation, Molecular Immunology, 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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