Thomas Marjot

44 papers receiving 1.8k citations

Thomas Marjot's Hit Papers

COVID-19 and liver disease: mechanistic and clinical perspectives 2021 · 255 citations
2550+3+6Years since publication100200300400

Peers

Thomas Marjot
Comparison fields: 5 of 98
  • Hepatology 244
  • Epidemiology 845
  • Infectious Diseases 443
  • Endocrinology, Diabetes and Metabolism 318
  • Neurology 153
Replace Marenao Tanaka with:
Marenao Tanaka Japan
Sanjaya K. Satapathy United States
Norihito Moniwa Japan
Hiroki Endo Japan
Michael Hultström Sweden
Hermes Vieira Barbeiro Brazil
Erkan Cüre Türkiye
Xiude Fan China
Stephen J. Rossi United States
José Antonio Porras Spain
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Citations per year

Countries citing papers authored by Thomas Marjot

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Marjot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Non-alcoholic fatty liver disease and diabetes
Hit paper breakdown →
2016408
2
COVID-19 and liver disease: mechanistic and clinical perspectives
Hit paper breakdown →
2021255
3 2019165
4 2020106
5 202177
6 201975
7 202167
8 201156
9 201952
10 202349
11 202249
12 202244
13 202243
14 202141
15 201838
16 201338
17 201733
18 202132
19 201732
20 201826

About Thomas Marjot

Thomas Marjot is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Hepatology and Physiology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Diet, Metabolism, and Disease (10 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Liver Disease and Transplantation (4 papers), Circadian rhythm and melatonin (3 papers), Liver Diseases and Immunity (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Hepatology (244 citations), Epidemiology (845 citations), Infectious Diseases (443 citations), Endocrinology, Diabetes and Metabolism (318 citations) and Neurology (153 citations). Thomas Marjot has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jeremy Tomlinson, Jeremy Cobbold, Jonathan Hazlehurst, Conor Woods, Leanne Hodson, Eleanor Barnes, Gwilym J. Webb, A. Sidney Barritt, Andrew M. Moon and Ahmad Moolla. Their work appears in journals such as Journal of Hepatology, ˜The œLancet. Gastroenterology & hepatology, Hepatology Communications, Nature Reviews Gastroenterology & Hepatology and Gut.

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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