Mark M. Compton

2.8k citations
45 papers · 2.5k · h-index 24

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • Cell death mechanisms and regulation 7
    • CRISPR and Genetic Engineering 5
    • Immune Response and Inflammation 8
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 8

Mark M. Compton

45 papers receiving 2.4k citations

Peers

Mark M. Compton
Comparison fields: 5 of 137
  • Endocrine and Autonomic Systems 189
  • Molecular Biology 1.3k
  • Business and International Management 41
  • Immunology 375
  • Behavioral Neuroscience 53
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Yaping Jin China
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Tao Du China
Eric A. Wong United States
John R. Edwards United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark M. Compton

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Compton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992471
2 2012260
3 1986200
4 1987158
5 2010134
6 1998113
7 199990
8 197889
9 198883
10 198774
11 199873
12 199264
13 200154
14 200449
15 199147
16 198145
17 201540
18 199033
19 198432
20 199131

About Mark M. Compton

Mark M. Compton is a scholar working on Molecular Biology, Immunology, Animal Science and Zoology, Endocrine and Autonomic Systems and Epidemiology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), RNA Interference and Gene Delivery (7 papers), Cell death mechanisms and regulation (7 papers), Animal Nutrition and Physiology (5 papers), CRISPR and Genetic Engineering (5 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Molecular Biology (1.3k citations), Business and International Management (41 citations), Immunology (375 citations) and Behavioral Neuroscience (53 citations). Mark M. Compton has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John A. Cidlowski, H.P. Van Krey, Clifton A. Baile, Rebecca M. Terns, Michael P. Terns, Neil T. Pfister, Diane L. Hartzell, Raphael J. Witorsch, Gary J. Hausman and M. J. Azain. Their work appears in journals such as Poultry Science, Endocrinology, Biochemical and Biophysical Research Communications, Molecular Biology of the Cell and RNA.

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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