Daniel Tarnowski

707 citations
19 papers · 548 · h-index 10

Impact in

Papers in

Daniel Tarnowski

18 papers receiving 529 citations

Peers

Daniel Tarnowski
Comparison fields: 5 of 70
  • Behavioral Neuroscience 39
  • Cardiology and Cardiovascular Medicine 244
  • Endocrinology, Diabetes and Metabolism 155
  • Endocrine and Autonomic Systems 55
  • Internal Medicine 25
Replace Adam S. Budzikowski with:
Adam S. Budzikowski United States
Hannah Garver United States
Daniela Cavallotti Italy
Fernando Pazos Spain
Ken Sabanai Japan
Goro Tokudome Japan
Anne Marie McNeill United States
Michiko Momohara Japan
M.V. Conde Spain
M Murakami Japan
Daniel Tarnowski relative to Adam S. Budzikowski United States Adam S. Budzikowski's profile →
Citations per field
00.5×4.8×
Adam S. Budzikowski · 1×
Citations per year

Countries citing papers authored by Daniel Tarnowski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tarnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1978160
2 2018157
3 201842
4 201531
5 201828
6 201623
7 201423
8 201921
9 201717
10 202012
11 20208
12 20237
13 20166
14 20234
15 20214
16 20163
17 20211
18 20181
19 20240

About Daniel Tarnowski

Daniel Tarnowski is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Internal Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 548 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Ion channel regulation and function (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Behavioral Neuroscience (39 citations), Cardiology and Cardiovascular Medicine (244 citations), Endocrinology, Diabetes and Metabolism (155 citations), Endocrine and Autonomic Systems (55 citations) and Internal Medicine (25 citations). Daniel Tarnowski has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include CATHERINE F. ALLEN, Leonard Share, Joan T. Crofton, Lars S. Maier, Julian Mustroph, Stefan Wagner, Simon Lebek, Samuel Sossalla, Steffen Pabel and Can Martin Sag. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, Frontiers in Cardiovascular Medicine, Platelets and International Journal of Cardiology.

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.

Explore authors with similar magnitude of impact