Thomas Heß

669 citations
31 papers · 542 · h-index 12

Impact in

Papers in

Thomas Heß

29 papers receiving 522 citations

Peers

Thomas Heß
Comparison fields: 5 of 94
  • Internal Medicine 42
  • Developmental Neuroscience 43
  • Endocrine and Autonomic Systems 62
  • Pathology and Forensic Medicine 157
  • Emergency Medicine 67
Replace Jing Feng with:
Jing Feng China
Hideaki Tsuchida Japan
Runar Almaas Norway
M. E. Koller Norway
Francisco Santolaria-Fernández Spain
D. L. Fisher United States
Ichiro Kuwahira Japan
James E. Quillen United States
Umesh Joashi United States
S. Bianchi Italy
Thomas Heß relative to Jing Feng China Jing Feng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Heß

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200185
2 200684
3 201954
4 199249
5 199541
6 199236
7 200226
8 199225
9 201218
10 199317
11 201313
12 199612
13 199611
14 199510
15 20209
16 20237
17 20147
18 20246
19 19946
20 19945

About Thomas Heß

Thomas Heß is a scholar working on Anthropology, Paleontology, Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 31 papers that have together received 542 indexed citations. Recurring topics across this work include Pleistocene-Era Hominins and Archaeology (8 papers), Archaeology and ancient environmental studies (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Ischemia and Reperfusion (5 papers), Ion channel regulation and function (4 papers), Image Processing and 3D Reconstruction (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Internal Medicine (42 citations), Developmental Neuroscience (43 citations), Endocrine and Autonomic Systems (62 citations), Pathology and Forensic Medicine (157 citations) and Emergency Medicine (67 citations). Thomas Heß has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Raymond B. Darbenzio, Gary J. Grover, Albert J. DʼAlonzo, Mark A. Smith, Paul G. Sleph, Rudolf Speich, Erich W. Russi, Stanisław J. Konturek, Tomasz Brzozowski and Benjamin L. Walter. Their work appears in journals such as European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Lithic Technology, CHEST Journal and Pharmacology.

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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