Thomas Evers

53 papers receiving 989 citations

Peers

Thomas Evers
Comparison fields: 5 of 103
  • Internal Medicine 152
  • Family Practice 64
  • Cardiology and Cardiovascular Medicine 632
  • Health Informatics 19
  • Health Information Management 49
Replace Shun Fu Lee with:
Shun Fu Lee Canada
Hernan Polo Friz Italy
Erin R. Weeda United States
Michael P. Dorsch United States
Elena Birman-Deych United States
Jannick A N Dorresteijn Netherlands
Rashmee U. Shah United States
Megan Coylewright United States
Dragana Radovanović Switzerland
Lama Ghazi United States
Thomas Evers relative to Shun Fu Lee Canada Shun Fu Lee's profile →
Citations per field
00.5×3.7×
Shun Fu Lee · 1×
Citations per year

Countries citing papers authored by Thomas Evers

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 2016119
3 2005108
4 201668
5 202137
6 201336
7 200932
8 201630
9 201830
10 201629
11 201629
12 202027
13 200626
14 201526
15 201825
16 202018
17 202017
18 200717
19 200715
20 200615

About Thomas Evers

Thomas Evers is a scholar working on Family Practice, Internal Medicine, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (19 papers), Atrial Fibrillation Management and Outcomes (16 papers), Heart Failure Treatment and Management (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers), Cardiac Arrhythmias and Treatments (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Pharmaceutical Economics and Policy (6 papers). The work is most often cited by research in Internal Medicine (152 citations), Family Practice (64 citations), Cardiology and Cardiovascular Medicine (632 citations), Health Informatics (19 citations) and Health Information Management (49 citations). Thomas Evers has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Rishi Desai, Sebastian Schneeweiß, Shirley Wang, B. Ehlken, Jan Beyer‐Westendorf, Muthiah Vaduganathan, Craig I Coleman, Paul Cullen, H. Schulte and Gerd Assmann. Their work appears in journals such as Value in Health, Current Medical Research and Opinion, PharmacoEconomics, EP Europace and European Heart Journal.

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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