Jan Ruff

920 citations
17 papers · 799 · h-index 11

Impact in

Papers in

Jan Ruff

17 papers receiving 779 citations

Peers

Jan Ruff
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 362
  • Cardiology and Cardiovascular Medicine 303
  • Biophysics 29
  • Pathology and Forensic Medicine 45
  • Spectroscopy 41
Replace Claudia Lipke with:
Claudia Lipke Germany
Youngran Chung United States
Till Huelnhagen Germany
Michiel ten Hove United Kingdom
Yasuyo Ohta Japan
Achim Seeger Germany
Makio Kaminogo Japan
Muz Zviman United States
Peter O’Gara United States
Jan Ruff relative to Claudia Lipke Germany Claudia Lipke's profile →
Citations per field
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Claudia Lipke · 1×
Citations per year

Countries citing papers authored by Jan Ruff

Since Specialization
Citations

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

Fields of papers citing papers by Jan Ruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1998158
2 2000140
3 2001134
4 201472
5 200169
6 200049
7 200047
8 200446
9 200628
10 199818
11 200011
12 20018
13
Reduced contractile reserve and diastolic dysfunction in a trangenic mouse model with beta(1)-adrenergic receptor overexpression assessed by MRI
19997
14 20136
15 20143
16 19802
17
Microscopic magnetic resonance imaging for high resolution non-invasive quantification of myocardial function and mass in the mouse
19971

About Jan Ruff

Jan Ruff is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Spectroscopy and Infectious Diseases, having authored 17 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiomyopathy and Myosin Studies (3 papers), Advanced NMR Techniques and Applications (2 papers), Atomic and Subatomic Physics Research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (362 citations), Cardiology and Cardiovascular Medicine (303 citations), Biophysics (29 citations), Pathology and Forensic Medicine (45 citations) and Spectroscopy (41 citations). Jan Ruff has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Axel Haase, Frank Wiesmann, Karl‐Heinz Hiller, Stefan Neubauer, Eberhard Rommel, Wolfgang R. Bauer, Titus Lanz, Sabine Voll, Markus von Kienlin and E. Rommel. Their work appears in journals such as Magnetic Resonance Materials in Physics Biology and Medicine, Journal of Cardiovascular Magnetic Resonance, Circulation, PLoS ONE and Journal of Magnetic Resonance Imaging.

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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