Eva Krieghoff‐Henning

2.4k citations
25 papers · 820 indexed · h-index 17
Topics
AI in cancer detection (14 papers)Cutaneous Melanoma Detection and Management (9 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
Partner nations
GermanyAustraliaItaly

In The Last Decade

Eva Krieghoff‐Henning

23 papers receiving 807 citations

Peers

Eva Krieghoff‐Henning
Comparison fields: 5 of 109
  • Oncology 311
  • Artificial Intelligence 270
  • Radiology, Nuclear Medicine and Imaging 231
  • Molecular Biology 205
  • Health Informatics 97
Replace Ronald Chan with:
Ronald Chan Hong Kong
Shunichi Jinnai Japan
Olga Kondrashova Australia
Shohreh Dickinson United States
Max Schmitt Germany
Perry Maxwell United Kingdom
Bernd Lahrmann Germany
Richard Colling United Kingdom
John Maddison United Kingdom
Judy J. Wang United States
Eva Krieghoff‐Henning relative to Ronald Chan Hong Kong Ronald Chan's profile →
Citations per field
00.5×7.5×
Ronald Chan · 1×
Citations per year

Countries citing papers authored by Eva Krieghoff‐Henning

Since Specialization
Citations

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

Fields of papers citing papers by Eva Krieghoff‐Henning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Krieghoff‐Henning. 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 Eva Krieghoff‐Henning. The network helps show where Eva Krieghoff‐Henning may publish in the future.

Co-authorship network of co-authors of Eva Krieghoff‐Henning

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Krieghoff‐Henning. A scholar is included among the top collaborators of Eva Krieghoff‐Henning based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Krieghoff‐Henning. Eva Krieghoff‐Henning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 16
3 5
4 13
5 31
6 1
7 23
8 0
9 11
10 16
11 40
12 116
13 54
14 43
15 47
16 106
17 28
18
Cancer – an overview.
19
19 61
20 67

About Eva Krieghoff‐Henning

Eva Krieghoff‐Henning is a scholar working on Health Informatics, Biophysics and Oncology, having authored 25 papers that have together received 820 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Cutaneous Melanoma Detection and Management (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Health Informatics (97 citations), Oncology (311 citations) and Radiology, Nuclear Medicine and Imaging (231 citations). Eva Krieghoff‐Henning has collaborated with scholars based in Germany, Australia and Italy. Frequent co-authors include Titus J. Brinker, Thomas G. Hofmann, Achim Hekler, Jochen Utikal, Tanja Jutzi, Christof von Kalle, Stefan Fröhling, Jakob Nikolas Kather, Max Schmitt and Roman C. Maron. Their work appears in journals such as PLoS ONE, Cancer Research and Cell Death and Differentiation.

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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