Mark Tanner

4.2k citations
52 papers · 2.6k indexed · 1 hit paper · h-index 21

Mark Tanner

48 papers receiving 2.5k citations

Hit Papers

Psilocybin for treatment-resistant depression: fMRI-measu...3832017202620202023100200300

Peers

Mark Tanner
Comparison fields: 5 of 98
  • Genetics 1.4k
  • Hematology 1.3k
  • Cardiology and Cardiovascular Medicine 649
  • Biological Psychiatry 56
  • Clinical Psychology 404
Replace Sara E. Lewis with:
Sara E. Lewis United States
P. O. Lundberg Sweden
Sven Valind Sweden
Margaret R. Warner United States
J W Stewart United States
D. Lang Germany
Masayuki Takase Japan
E. Klieser Austria
Estevo Santamarina Spain
Mark S. Currie United States
Mark Tanner relative to Sara E. Lewis United States Sara E. Lewis's profile →
Citations per field
00.5×10×15.5×
Sara E. Lewis · 1×
Citations per year

Countries citing papers authored by Mark Tanner

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20237
3 20216
4 201833
5 2018162
6 201647
7 20152
8 201378
9 201231
10 201128
11 201154
12 201133
13 2008190
14 200774
15 200740
16 200783
17 200663
18 20065
19 20041
20 200310

About Mark Tanner

Mark Tanner is a scholar working on Genetics, Hematology, Cardiology and Cardiovascular Medicine, Biological Psychiatry and Orthopedics and Sports Medicine, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (17 papers), Cardiac pacing and defibrillation studies (13 papers), Cardiac Arrhythmias and Treatments (12 papers), Advanced MRI Techniques and Applications (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.3k citations), Cardiology and Cardiovascular Medicine (649 citations), Biological Psychiatry (56 citations) and Clinical Psychology (404 citations). Mark Tanner has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Dudley J. Pennell, Mark A. Westwood, John M. Walker, Sy Ha, Lisa Anderson, Gillian Smith, Paul Kirk, John B. Porter, Annalisa Agus and C. Dessì. Their work appears in journals such as Blood, Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, EP Europace and Circulation.

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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