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Researcher · Lundbeck (Denmark) · Denmark

Tomas Joachim Mow

Tomas Joachim Mow publishes mostly in Cardiology and Cardiovascular Medicine, Small Animals and Computational Theory and Mathematics, on topics such as Animal testing and alternatives, Computational Drug Discovery Methods and Cardiac electrophysiology and arrhythmias.

ORCID 0000-0001-9732-9651 OpenAlex
World rank
#1,927,704
of 7,710,434 ranked researchers
Rank in Denmark
#14,600
of 43,819
Works
34
Citations
1.3k
Citations per work
39.0
h-index
16
i10-index 19Top 29% in Cardiology and Cardiovascular Medicine
Tomas Joachim Mow

What does Tomas Joachim Mow research?

Tomas Joachim Mow's work is mostly in Medicine (26%), Veterinary (12%), Computer Science (10%).

Health Sciences: 13 works · 38.1% of their workMedicine: 9 works · 26.1% of their workCardiology and Cardiovascular Medicine: 7 works · 19.6% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.5% of their workVeterinary: 4 works · 12.0% of their workSmall Animals: 4 works · 12.0% of their workEverything else: 13 works · 38.0% of their workLife Sciences: 5 works · 14.1% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 7.6% of their workMolecular Biology: 3 works · 7.6% of their workImmunology and Microbiology: 2 works · 6.5% of their workImmunology: 2 works · 6.5% of their workPhysical Sciences: 3 works · 9.8% of their workComputer Science: 3 works · 9.8% of their workComputational Theory and Mathematics: 3 works · 9.8% of their workTHEIR WORKTomas Joachim Mow34works
Life Sciences14%Physical Sciences10%Health Sciences38%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine926.1%
    2. Veterinary412.0%
  2. Everything else1338.0%
    1. Biochemistry, Genetics and Molecular Biology37.6%
    2. Immunology and Microbiology26.5%
    1. Computer Science39.8%
  1. 1Cardiology and Cardiovascular Medicine20% of their works
  2. 2Small Animals12% of their works
  3. 3Computational Theory and Mathematics10% of their works
  4. 4Molecular Biology8% of their works
  5. 5Immunology6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging6% of their works

Research topics

Which keywords describe Tomas Joachim Mow's research?

The keywords of their largest research topics: Machine Learning, Animal Research Reporting, ARRIVE Guidelines, Ion Channels, Molecular Docking, Virtual Screening, Arrhythmias and Long-QT Syndrome.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Machine Learning122 topics
  2. ARRIVE Guidelines111 topic
  3. Animal Research Reporting111 topic
  4. Ion Channels92 topics
  5. Molecular Docking91 topic
  6. Virtual Screening91 topic
  7. Arrhythmias71 topic
  8. Long-QT Syndrome71 topic
  9. Patent Ductus Arteriosus61 topic
  10. Preterm Infants61 topic
  11. Cell Signaling42 topics
  12. Histopathology41 topic
  13. Immunotoxicity41 topic
  14. Bioimage Analysis31 topic
  15. High-Content Screening31 topic
  16. Calcium Channels21 topic
  17. Crystal Structure21 topic
  18. G-Protein-Coupled Receptors21 topic
  19. Voltage-Gated Channels21 topic

Where does Tomas Joachim Mow work?

Tomas Joachim Mow's main affiliation in the publication record is Lundbeck (Denmark), Denmark.

How many publications and citations does Tomas Joachim Mow have?

OpenAlex counts 34 works and 1,325 citations for Tomas Joachim Mow, an h-index of 16, ranking #1,927,704 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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