Kai J. Borm
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 24
-
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- Effects of Radiation Exposure 4
- Co-authors
- Stephanie E. Combs (57 shared papers)Marciana Nona Duma (29 shared papers)Markus Oechsner (27 shared papers)Stefan Münch (14 shared papers)Hendrik Dapper (14 shared papers)Wolfgang Weber (5 shared papers)Jan J. Wilkens (5 shared papers)Jan C. Peeken (15 shared papers)
- Journals
- Radiation Oncology (12 papers)Strahlentherapie und Onkologie (9 papers)Scientific Reports (7 papers)Cancers (5 papers)BMC Cancer (4 papers)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Kai J. Borm
58 papers receiving 571 citations
Peers
Comparison fields: 5 of 46
- Radiation 118
- Cancer Research 185
- Radiology, Nuclear Medicine and Imaging 129
- Health Informatics 8
- Pulmonary and Respiratory Medicine 129
Countries citing papers authored by Kai J. Borm
This map shows the geographic impact of Kai J. Borm'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 Kai J. Borm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai J. Borm more than expected).
Fields of papers citing papers by Kai J. Borm
This network shows the impact of papers produced by Kai J. Borm. 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 Kai J. Borm. The network helps show where Kai J. Borm may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai J. Borm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2019 | 39 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 33 | |
| 5 | 2019 | 31 | |
| 6 | 2017 | 28 | |
| 7 | 2024 | 25 | |
| 8 | 2017 | 25 | |
| 9 | 2020 | 23 | |
| 10 | 2024 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2020 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2020 | 9 |
About Kai J. Borm
Kai J. Borm is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation and Surgery, having authored 68 papers that have together received 576 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (24 papers), Advanced Radiotherapy Techniques (10 papers), Medical Imaging Techniques and Applications (5 papers), Colorectal and Anal Carcinomas (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Brain Metastases and Treatment (4 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Radiation (118 citations), Cancer Research (185 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Health Informatics (8 citations) and Pulmonary and Respiratory Medicine (129 citations). Kai J. Borm has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Stephanie E. Combs, Marciana Nona Duma, Markus Oechsner, Stefan Münch, Hendrik Dapper, Wolfgang Weber, Jan J. Wilkens, Jan C. Peeken, Kilian Schiller and Michael Mayinger. Their work appears in journals such as Radiation Oncology, Strahlentherapie und Onkologie, Scientific Reports, Cancers and BMC Cancer.
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.