Mark Hayes

69 total papers · 1.5k total citations
33 papers, 1.1k citations indexed

About

Mark Hayes is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Mark Hayes has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Surgery and 6 papers in Physiology. Recurrent topics in Mark Hayes's work include Diet and metabolism studies (5 papers), Bariatric Surgery and Outcomes (5 papers) and Wound Healing and Treatments (5 papers). Mark Hayes is often cited by papers focused on Diet and metabolism studies (5 papers), Bariatric Surgery and Outcomes (5 papers) and Wound Healing and Treatments (5 papers). Mark Hayes collaborates with scholars based in Australia, New Zealand and United States. Mark Hayes's co-authors include Richard S. Stubbs, Roy Kimble, Leila Cuttle, Margit Kempf, John F. Fraser, Peter E. Wright, David Cookson, Donia Macartney‐Coxson, Maria Nataatmadja and Hongjun Shi and has published in prestigious journals such as Nature, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mark Hayes

32 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark Hayes 562 234 190 188 186 33 1.1k
Laura McIntosh 571 1.0× 77 0.3× 79 0.4× 162 0.9× 125 0.7× 41 1.2k
Kazuyuki Mori 603 1.1× 279 1.2× 71 0.4× 51 0.3× 77 0.4× 54 1.3k
Mika Ikeda 863 1.5× 130 0.6× 104 0.5× 201 1.1× 58 0.3× 36 1.3k
Chenguang Zhang 730 1.3× 135 0.6× 201 1.1× 39 0.2× 43 0.2× 60 1.4k
Yuka Nakajima 750 1.3× 98 0.4× 28 0.1× 53 0.3× 198 1.1× 43 1.4k
Yosuke Kanno 506 0.9× 82 0.4× 36 0.2× 75 0.4× 50 0.3× 62 1.3k
Mariko Inoue 448 0.8× 144 0.6× 18 0.1× 102 0.5× 80 0.4× 35 1.1k
Clemens K. Probst 496 0.9× 139 0.6× 43 0.2× 90 0.5× 57 0.3× 22 1.4k
L.F.M.H. de Leij 289 0.5× 120 0.5× 40 0.2× 98 0.5× 51 0.3× 25 1.0k
E Rohde 618 1.1× 72 0.3× 19 0.1× 127 0.7× 78 0.4× 26 1.0k

Countries citing papers authored by Mark Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hayes. A scholar is included among the top collaborators of Mark Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Hayes. Mark Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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