Ard Teisman

1.1k citations
44 papers · 705 · h-index 16

Impact in

Papers in

Ard Teisman

42 papers receiving 691 citations

Peers

Ard Teisman
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 365
  • Cellular and Molecular Neuroscience 186
  • Molecular Biology 321
  • Small Animals 30
  • Endocrine and Autonomic Systems 21
Replace Rainer Netzer with:
Rainer Netzer Germany
Hiroko Izumi‐Nakaseko Japan
Donna Wielbo United States
Leslie Patmore United Kingdom
Stephen J. Humphrey United States
Judy Y. Su United States
Euiyong Kim South Korea
David R. Blue United States
Petra Vinken Belgium
W Hoefke Germany
Ard Teisman relative to Rainer Netzer Germany Rainer Netzer's profile →
Citations per field
00.5×7.8×
Rainer Netzer · 1×
Citations per year

Countries citing papers authored by Ard Teisman

Since Specialization
Citations

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

Fields of papers citing papers by Ard Teisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200979
2 200862
3 201261
4 201455
5 201845
6 199445
7 201741
8 199826
9 200023
10 200521
11 201121
12 201920
13 199820
14 199620
15 201016
16 202116
17 201815
18 199313
19 199711
20 202311

About Ard Teisman

Ard Teisman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Small Animals, having authored 44 papers that have together received 705 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (22 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neural Engineering (8 papers), Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (3 papers), Renin-Angiotensin System Studies (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (365 citations), Cellular and Molecular Neuroscience (186 citations), Molecular Biology (321 citations), Small Animals (30 citations) and Endocrine and Autonomic Systems (21 citations). Ard Teisman has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include David J. Gallacher, Hua Rong Lu, Henk J. van der Linde, David J. Gallacher, Ben H.C. Westerink, Ivan Kopljar, R. Towart, Karel Van Ammel, Bruno Van Deuren and Jan B. De Vries. Their work appears in journals such as British Journal of Pharmacology, Frontiers in Pharmacology, European Journal of Pharmacology, Toxicological Sciences and Journal of Pharmacological and Toxicological Methods.

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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