Tomas Mow

1.3k citations
26 papers · 961 indexed · 1 hit paper · h-index 14

Tomas Mow

26 papers receiving 928 citations

Hit Papers

The evolving role of investigative toxicology in the phar...13220232026202420254080120

Peers

Tomas Mow
Comparison fields: 5 of 101
  • Equine 32
  • Small Animals 94
  • Pharmacology 103
  • Cardiology and Cardiovascular Medicine 264
  • Radiology, Nuclear Medicine and Imaging 238
Replace M Hichens with:
M Hichens United States
Pascal Champéroux France
David A. Hartman United States
Göran Duker Sweden
Takeshi Yamamoto Japan
Anthony A. Fossa United States
Duncan Armstrong United Kingdom
Vanni Ferrari Italy
Donglin Guo China
W J Jusko United States
Tomas Mow relative to M Hichens United States M Hichens's profile →
Citations per field
00.5×10×16.6×
M Hichens · 1×
Citations per year

Countries citing papers authored by Tomas Mow

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Mow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
The evolving role of investigative toxicology in the pharmaceutical industrybreakdown →
2023132
2 202011
3 20184
4 201728
5 201710
6 201439
7 20148
8 2013101
9 201378
10 201339
11 20118
12 201022
13 200826
14 2003122
15 19997
16 199990
17 199936
18 1999103
19 199945
20 199816

About Tomas Mow

Tomas Mow is a scholar working on Small Animals, Biophysics, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Endocrine and Autonomic Systems, having authored 26 papers that have together received 961 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Animal testing and alternatives (7 papers), Cardiovascular Conditions and Treatments (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiovascular Effects of Exercise (4 papers), Immunotoxicology and immune responses (3 papers), Ion channel regulation and function (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Equine (32 citations), Small Animals (94 citations), Pharmacology (103 citations), Cardiology and Cardiovascular Medicine (264 citations) and Radiology, Nuclear Medicine and Imaging (238 citations). Tomas Mow has collaborated with scholars based in Denmark, United Kingdom and Switzerland. Frequent co-authors include Henrik D. Pedersen, Jorrit J. Hornberg, Mikael Persson, Lisbeth H. Olsen, Bruno Pouzet, M.L. Laursen, Annemette Thougaard, J. Koch, T. Falk and Jens Häggström. Their work appears in journals such as Drug Discovery Today, Journal of Veterinary Internal Medicine, Nature Reviews Drug Discovery, Pharmacology Biochemistry and Behavior and European Journal of 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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