Mark Evans

3.2k citations
81 papers · 2.5k · h-index 30

Impact in

  • Physiology top 5%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Muscle metabolism and nutrition

Papers in

Mark Evans

80 papers receiving 2.4k citations

Peers

Mark Evans
Comparison fields: 5 of 126
  • Physiology 511
  • Cell Biology 323
  • Otorhinolaryngology 77
  • Epidemiology 588
  • Internal Medicine 54
Replace Claudio Lunardi with:
Claudio Lunardi Italy
Eduardo A. García‐Zepeda Mexico
Estelle Escudier France
Marcus O. Muench United States
Espen S. Bækkevold Norway
David Gillis Australia
Lan Xu China
Tsuyoshi Tanabe Japan
Zev Sthoeger Israel
Peter L. Rady United States
Mark Evans relative to Claudio Lunardi Italy Claudio Lunardi's profile →
Citations per field
00.5×7.3×
Claudio Lunardi · 1×
Citations per year

Countries citing papers authored by Mark Evans

Since Specialization
Citations

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

Fields of papers citing papers by Mark Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016322
2 1996149
3 200697
4 201892
5 200788
6 200984
7 200278
8 200576
9 201173
10 200570
11 201964
12 201563
13 201559
14 202254
15 201452
16 200351
17 201747
18 200847
19 202246
20 201845

About Mark Evans

Mark Evans is a scholar working on Epidemiology, Molecular Biology, Surgery, Cancer Research and Genetics, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (22 papers), Molecular Biology Techniques and Applications (10 papers), Diet and metabolism studies (6 papers), Muscle metabolism and nutrition (5 papers), Sports Performance and Training (5 papers), Cancer-related molecular mechanisms research (5 papers), Reproductive tract infections research (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Physiology (511 citations), Cell Biology (323 citations), Otorhinolaryngology (77 citations), Epidemiology (588 citations) and Internal Medicine (54 citations). Mark Evans has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Brendan Egan, Kumarasen Cooper, Timothy Hla, Menq-Jer Lee, Linda Simmons-Arnold, Gladwyn Leiman, Barbara Beatty, Winifred Trotman, Zhihua Peng and Sharon Mount. Their work appears in journals such as Head and Neck Pathology, Journal of Clinical Pathology, The Journal of Pathology, Biology of Sport and PLoS ONE.

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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