Kevin Boehm

1.9k citations
8 papers · 433 indexed · 1 hit paper · h-index 5
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (2 papers)vaccines and immunoinformatics approaches (1 paper)
Partner nations
United StatesIsrael

In The Last Decade

Kevin Boehm

7 papers receiving 419 citations

Hit Papers

Harnessing multimodal data integration to advance precisi...20212026202220242021100200300

Peers

Kevin Boehm
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 164
  • Molecular Biology 135
  • Artificial Intelligence 128
  • Cancer Research 89
  • Pulmonary and Respiratory Medicine 67
Replace Ken Takasawa with:
Ken Takasawa Japan
Norio Shinkai Japan
Amina Bolatkan Japan
Luoting Zhuang United States
Liangqun Lu United States
Ryo Shimoyama Japan
Stefan Schulz Germany
Maha Shady United States
Isabel Schobert Germany
Christina Y. Yu United States
Kevin Boehm relative to Ken Takasawa Japan Ken Takasawa's profile →
Citations per field
00.5×
Ken Takasawa · 1×
Citations per year

Countries citing papers authored by Kevin Boehm

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Boehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Boehm

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Boehm. A scholar is included among the top collaborators of Kevin Boehm 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 Kevin Boehm. Kevin Boehm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
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Harnessing multimodal data integration to advance precision oncologybreakdown →
324
4 42
5 7
6 0
7 23
8 33

About Kevin Boehm

Kevin Boehm is a scholar working on Radiology, Nuclear Medicine and Imaging, Rehabilitation and Cancer Research, having authored 8 papers that have together received 433 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Health Informatics (47 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Cancer Research (89 citations). Kevin Boehm has collaborated with scholars based in United States and Israel. Frequent co-authors include R. Vanguri, Sohrab P. Shah, Jianjiong Gao, Pegah Khosravi, Bhavneet Bhinder, Olivier Elemento, Vijay J. Raja, Noah Dephoure, Christopher S. Ogilvy and Claudius Mueller. Their work appears in journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Cancer Research.

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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