David Kersting

1.2k citations
60 papers · 647 · h-index 14

Impact in

Papers in

David Kersting

56 papers receiving 645 citations

Peers

David Kersting
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 265
  • Health Informatics 10
  • Oncology 121
  • Cancer Research 57
  • Pulmonary and Respiratory Medicine 118
Replace June-Key Chung with:
June-Key Chung South Korea
Matthias P. Fabritius Germany
Sazan Rasul Austria
Daniel Appelbaum United States
Axel Van Der Gucht France
Ilhan Lim South Korea
Masatoshi Hotta Japan
Witold Cholewiński Poland
Maythinee Chantadisai Thailand
Tomoko Hyodo Japan
David Kersting relative to June-Key Chung South Korea June-Key Chung's profile →
Citations per field
00.5×10×15.5×
June-Key Chung · 1×
Citations per year

Countries citing papers authored by David Kersting

Since Specialization
Citations

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

Fields of papers citing papers by David Kersting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202071
3 202133
4 202126
5 201925
6 202125
7 202223
8 202123
9 199322
10 202321
11 202116
12 202215
13 202214
14 202114
15 202113
16 202113
17 202312
18 202111
19 202111
20 202311

About David Kersting

David Kersting is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Epidemiology, having authored 60 papers that have together received 647 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Prostate Cancer Treatment and Research (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Neuroendocrine Tumor Research Advances (5 papers), Neuroblastoma Research and Treatments (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (265 citations), Health Informatics (10 citations), Oncology (121 citations), Cancer Research (57 citations) and Pulmonary and Respiratory Medicine (118 citations). David Kersting has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christoph Rischpler, Robert Seifert, Ken Herrmann, Wolfgang P. Fendler, Lale Umutlu, Pedro Fragoso Costa, Manuel Weber, Manuel Weber, Miriam Sraieb and Emre Kocakavuk. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Seminars in Nuclear Medicine, Nuklearmedizin - NuclearMedicine and EJNMMI Physics.

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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