Frank Krämer

4.2k citations
80 papers · 2.6k indexed · 1 hit paper · h-index 26

Frank Krämer

72 papers receiving 2.6k citations

Hit Papers

Towards a guideline for evaluation metrics in medical ima...281202220262023202450100150200250

Peers

Frank Krämer
Comparison fields: 5 of 177
  • Health Informatics 44
  • Pathology and Forensic Medicine 393
  • Dermatology 178
  • Cancer Research 295
  • Oncology 457
Replace Yueping Liu with:
Yueping Liu China
Dinesh Rakheja United States
Wei Huang United States
Kuang‐Yu Jen United States
Shumpei Ishikawa Japan
Andrea Sboner United States
Håvard E. Danielsen Norway
Joanna Polańska Poland
Elaine W. Kay Ireland
Ken N. Ross United States
Frank Krämer relative to Yueping Liu China Yueping Liu's profile →
Citations per field
00.5×2.6×
Yueping Liu · 1×
Citations per year

Countries citing papers authored by Frank Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Frank Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20241
4 20230
5 20230
6 20239
7 20225
8 201925
9 201949
10 201814
11 2017104
12 201432
13 201224
14 201237
15 2011119
16
Historicizing the "Beyond" : the Mongolian invasion as a new dimension of violence?
20113
17 201123
18 2010101
19 199718
20
Gesellschaften ohne Staat : Gleichheit und Gegenseitigkeit
19832

About Frank Krämer

Frank Krämer is a scholar working on Biophysics, Health Informatics and Molecular Biology, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (12 papers), Advanced NMR Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Biomedical Text Mining and Ontologies (8 papers), Gene Regulatory Network Analysis (7 papers), AI in cancer detection (6 papers) and NMR spectroscopy and applications (6 papers). The work is most often cited by research in Health Informatics (44 citations), Pathology and Forensic Medicine (393 citations) and Dermatology (178 citations). Frank Krämer has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Dominik Müller, Iñaki Soto‐Rey, Tim Beißbarth, Steffen J. Glaser, Marian Grade, Annalen Bleckmann, Jochen Gaedcke, Melanie Spitzner, Steven A. Johnsen and Georg Emons. Their work appears in journals such as Journal of Magnetic Resonance, Cancer Research, Bioinformatics, Carcinogenesis and International Journal of Molecular Sciences.

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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