Daniel Stäb

537 citations
31 papers · 394 · h-index 12

Impact in

Papers in

Daniel Stäb

27 papers receiving 392 citations

Peers

Daniel Stäb
Comparison fields: 5 of 48
  • Radiology, Nuclear Medicine and Imaging 335
  • Cardiology and Cardiovascular Medicine 84
  • Atomic and Molecular Physics, and Optics 114
  • Cognitive Neuroscience 32
  • Biophysics 9
Replace Thomas J. Brosnan with:
Thomas J. Brosnan United States
Arne Littmann Germany
Bhairav Mehta United States
Talin A. Tasciyan United States
S J Riederer United States
Ronald C. Wright United States
Martin Buehrer Switzerland
Youngwook Kee United States
Hui Xue United States
Anne Menini Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Stäb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stäb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201052
2 201650
3 201839
4 202038
5 201335
6 201327
7 201221
8 201617
9 202016
10 201815
11 202213
12 201011
13 202310
14 201610
15 20197
16 20226
17 20134
18 20214
19 20193
20 20223

About Daniel Stäb

Daniel Stäb is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 31 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (26 papers), Cardiac Imaging and Diagnostics (19 papers), Medical Imaging Techniques and Applications (8 papers), Atomic and Subatomic Physics Research (7 papers), Cardiovascular Function and Risk Factors (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced NMR Techniques and Applications (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (335 citations), Cardiology and Cardiovascular Medicine (84 citations), Atomic and Molecular Physics, and Optics (114 citations), Cognitive Neuroscience (32 citations) and Biophysics (9 citations). Daniel Stäb has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Herbert Köstler, Dietbert Hahn, Andreas Max Weng, Tobias Wech, Peter Speier, Christian Ritter, Felix Breuer, Johannes Tran‐Gia, Kieran O’Brien and Markus Barth. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, Journal of Visualized Experiments, Computers in Biology and Medicine and Scientific Data.

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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