Kevin Boehm

1.9k total citations · 1 hit paper
8 papers, 433 citations indexed

About

Kevin Boehm is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin Boehm has authored 8 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin Boehm's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (2 papers) and vaccines and immunoinformatics approaches (1 paper). Kevin Boehm is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (2 papers) and vaccines and immunoinformatics approaches (1 paper). Kevin Boehm collaborates with scholars based in United States and Israel. Kevin Boehm's co-authors include Pegah Khosravi, R. Vanguri, Sohrab P. Shah, Jianjiong Gao, Noah Dephoure, Olivier Elemento, Bhavneet Bhinder, Vijay J. Raja, Brian V. Nahed and Maria Serena Benassi and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Cancer Research.

In The Last Decade

Kevin Boehm

7 papers receiving 419 citations

Hit Papers

Harnessing multimodal dat... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin Boehm 164 135 128 89 67 8 433
Ken Takasawa 188 1.1× 264 2.0× 142 1.1× 123 1.4× 69 1.0× 27 652
Amina Bolatkan 147 0.9× 138 1.0× 114 0.9× 78 0.9× 45 0.7× 12 413
Norio Shinkai 150 0.9× 124 0.9× 106 0.8× 76 0.9× 46 0.7× 14 408
Ramón Viñas 187 1.1× 134 1.0× 263 2.1× 133 1.5× 39 0.6× 9 523
Eirini Arvaniti 163 1.0× 148 1.1× 246 1.9× 44 0.5× 83 1.2× 9 558
Íris Sawazaki‐Calone 115 0.7× 133 1.0× 90 0.7× 99 1.1× 48 0.7× 14 509
James M. Dolezal 172 1.0× 271 2.0× 229 1.8× 192 2.2× 55 0.8× 29 679
Nathan Ing 165 1.0× 107 0.8× 217 1.7× 57 0.6× 103 1.5× 11 411
Vipul Baxi 205 1.3× 47 0.3× 206 1.6× 73 0.8× 63 0.9× 16 446
Alfredo Zito 248 1.5× 141 1.0× 212 1.7× 88 1.0× 92 1.4× 28 572

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
1.
Boehm, Kevin, Antonio Marra, Jorge S. Reis‐Filho, et al.. (2024). Abstract 890: Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients. Cancer Research. 84(6_Supplement). 890–890. 1 indexed citations
2.
Luo, Jia, R. Vanguri, Jacklynn V. Egger, et al.. (2022). Multimodal integration of radiology, pathology, and genomics for prediction of response to PD-1 blockade in patients with non–small cell lung cancer.. Journal of Clinical Oncology. 40(16_suppl). 9064–9064. 3 indexed citations
3.
Boehm, Kevin, Pegah Khosravi, R. Vanguri, Jianjiong Gao, & Sohrab P. Shah. (2021). Harnessing multimodal data integration to advance precision oncology. Nature reviews. Cancer. 22(2). 114–126. 324 indexed citations breakdown →
4.
Boehm, Kevin, Bhavneet Bhinder, Vijay J. Raja, Noah Dephoure, & Olivier Elemento. (2019). Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome. BMC Bioinformatics. 20(1). 7–7. 42 indexed citations
5.
Boehm, Kevin, et al.. (2019). Characterization of Recurrences Following Second Breast-Conserving Surgery with Intraoperative Radiotherapy. Annals of Surgical Oncology. 27(5). 1638–1644. 7 indexed citations
6.
Boehm, Kevin, Shijun Wang, Karen E. Burtt, et al.. (2015). Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94140S–94140S.
7.
Walcott, Brian P., Kevin Boehm, Christopher J. Stapleton, et al.. (2013). Retrievable stent thrombectomy in the treatment of acute ischemic stroke: Analysis of a revolutionizing treatment technique. Journal of Clinical Neuroscience. 20(10). 1346–1349. 23 indexed citations
8.
Chiechi, Antonella, Claudius Mueller, Kevin Boehm, et al.. (2012). Improved data normalization methods for reverse phase protein microarray analysis of complex biological samples. BioTechniques. 0(0). 1–7. 33 indexed citations

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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