Thomas Seidel

1.5k citations
41 papers · 950 indexed · h-index 17

Impact in

Papers in

Thomas Seidel

39 papers receiving 934 citations

Peers

Thomas Seidel
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 372
  • Hepatology 53
  • Pathology and Forensic Medicine 115
  • Cellular and Molecular Neuroscience 114
  • Computational Theory and Mathematics 95
Replace Ashok Khatri with:
Ashok Khatri United States
José A. Cisneros United States
Hongyu Li China
Susanne Nyström Sweden
Maureen Highkin United States
Ann Chubb United Kingdom
Hidenori Mochizuki Japan
Claudia Bauer Germany
Marcella Rocchetti Italy
Thomas Seidel relative to Ashok Khatri United States Ashok Khatri's profile →
Citations per field
00.5×7.2×
Ashok Khatri · 1×
Citations per year

Countries citing papers authored by Thomas Seidel

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20245
4 20242
5 20232
6 20232
7 20226
8 202114
9 20212
10 202148
11 202013
12 201929
13 201827
14 201716
15 201531
16 201413
17 201041
18 201014
19 2007129
20 199655

About Thomas Seidel

Thomas Seidel is a scholar working on Cardiology and Cardiovascular Medicine, Structural Biology, Biophysics, Cellular and Molecular Neuroscience and Parasitology, having authored 41 papers that have together received 950 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (18 papers), Neuroscience and Neural Engineering (9 papers), Ion channel regulation and function (7 papers), Spine and Intervertebral Disc Pathology (5 papers), Connexins and lens biology (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (372 citations), Hepatology (53 citations), Pathology and Forensic Medicine (115 citations), Cellular and Molecular Neuroscience (114 citations) and Computational Theory and Mathematics (95 citations). Thomas Seidel has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Johann Gasteiger, Krisztina Boda, Frank B. Sachse, Stefan Dhein, Aida Salameh, Tilmann Volk, Andreas Dendorfer, Roland Tomasi, Hendrik Milting and Martin Kostelka. Their work appears in journals such as Frontiers in Physiology, Scientific Reports, Journal of Molecular and Cellular Cardiology, Magnetic Resonance in Medicine and Nature Communications.

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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