Mark Eccleston-Turner

1.4k citations
50 papers · 849 · h-index 14

Impact in

Papers in

Mark Eccleston-Turner

47 papers receiving 774 citations

Peers

Mark Eccleston-Turner
Comparison fields: 5 of 114
  • Modeling and Simulation 117
  • Virology 70
  • Health 117
  • Infectious Diseases 206
  • Organizational Behavior and Human Resource Management 102
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Michael Head United Kingdom
Stella Chungong Switzerland
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Matthew M. Kavanagh United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Eccleston-Turner

Since Specialization
Citations

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

Fields of papers citing papers by Mark Eccleston-Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2021127
3 202280
4 202080
5 201945
6 202235
7 202034
8 202034
9 201923
10 202221
11 201521
12 201918
13 201817
14 201915
15 202114
16
Travel restrictions and variants of concern: global health laws need to reflect evidence
202213
17 202312
18 201712
19 202010
20 20219

About Mark Eccleston-Turner

Mark Eccleston-Turner is a scholar working on Infectious Diseases, Sociology and Political Science, Organizational Behavior and Human Resource Management, Health and General Health Professions, having authored 50 papers that have together received 849 indexed citations. Recurring topics across this work include Global Security and Public Health (21 papers), Viral Infections and Outbreaks Research (12 papers), Human Rights and Development (10 papers), Health and Conflict Studies (8 papers), Global Public Health Policies and Epidemiology (8 papers), Vaccine Coverage and Hesitancy (7 papers), Influenza Virus Research Studies (5 papers) and Zoonotic diseases and public health (4 papers). The work is most often cited by research in Modeling and Simulation (117 citations), Virology (70 citations), Health (117 citations), Infectious Diseases (206 citations) and Organizational Behavior and Human Resource Management (102 citations). Mark Eccleston-Turner has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Clare Wenham, Alexandra Phelan, Michelle F. Rourke, Lawrence O. Gostin, Allan A Maleche, Chenguang Wang, Roojin Habibi, Gian Luca Burci, Benjamin Mason Meier and Sharifah Rahma Sekalala. Their work appears in journals such as The Lancet, International Organizations Law Review, Science, The Journal of Law Medicine & Ethics and BMJ Global Health.

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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