Mark R. Gray

1.4k citations
36 papers · 1.0k · h-index 18

Impact in

Papers in

    • Cancer-related gene regulation 4
    • Renal and related cancers 4
    • Connective Tissue Growth Factor Research 3
    • Sexual Differentiation and Disorders 3
    • RNA modifications and cancer 3

Mark R. Gray

35 papers receiving 981 citations

Peers

Mark R. Gray
Comparison fields: 5 of 88
  • Reproductive Medicine 262
  • Obstetrics and Gynecology 226
  • Genetics 253
  • Public Health, Environmental and Occupational Health 238
  • Transplantation 22
Replace Daniel Guerrier with:
Daniel Guerrier France
Yasushi Kawano Japan
Naoaki Kuji Japan
Margaret M. Joyce United States
Alíz Barakonyi Hungary
A. Whyte United Kingdom
Keisuke Sawai Japan
Mandy Mangler Germany
S Fujimoto Japan
Frédéric Troalen France
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Citations per field
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Citations per year

Countries citing papers authored by Mark R. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark R. Gray, 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 R. Gray Line = papers co-authored together Mark R. Gray 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 1997179
2 199888
3 199785
4 198780
5 199153
6 200350
7 201545
8 199842
9 200134
10 202133
11 199632
12 200030
13 200727
14 200727
15 202125
16 201323
17 200723
18 201023
19 202216
20 200616

About Mark R. Gray

Mark R. Gray is a scholar working on Molecular Biology, Genetics, Epidemiology, Obstetrics and Gynecology and Reproductive Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gynecological conditions and treatments (4 papers), Hypothalamic control of reproductive hormones (4 papers), Cancer-related gene regulation (4 papers), Renal and related cancers (4 papers), Connective Tissue Growth Factor Research (3 papers), Sexual Differentiation and Disorders (3 papers), RNA modifications and cancer (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Reproductive Medicine (262 citations), Obstetrics and Gynecology (226 citations), Genetics (253 citations), Public Health, Environmental and Occupational Health (238 citations) and Transplantation (22 citations). Mark R. Gray has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Richard H. Reindollar, Ann J. Davis, Anne B. Namnoum, J. Larry Jameson, Eun Jig Lee, Paul G. McDonough, John C. Petrozza, Lawrence C. Layman, John J. Castellot and Chong Sung Lee. Their work appears in journals such as Fertility and Sterility, American Journal of Obstetrics and Gynecology, Journal of Cell Communication and Signaling, Radiology and Transboundary and Emerging Diseases.

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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