Eric Thunnissen
Impact in
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Lung Cancer Research Studies
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- Cancer Genomics and Diagnostics
Papers in
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- Medical Imaging and Pathology Studies 3
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
- Lung Cancer Diagnosis and Treatment 1
- Oncology 2
- CAR-T cell therapy research 1
- Co-authors
- Timothy Craig Allen (3 shared papers)Dara L. Aisner (3 shared papers)Sanja Đačić (3 shared papers)Philip T. Cagle (3 shared papers)Ming‐Sound Tsao (3 shared papers)Yasushi Yatabe (3 shared papers)Keith M. Kerr (3 shared papers)Kirtee Raparia (3 shared papers)
- Journals
- Archives of Pathology & Laboratory Medicine (3 papers)Radiotherapy and Oncology (1 paper)Lung Cancer (1 paper)Pathology International (1 paper)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Eric Thunnissen
6 papers receiving 219 citations
Peers
Comparison fields: 5 of 43
- Oncology 129
- Cancer Research 62
- Pulmonary and Respiratory Medicine 122
- Radiology, Nuclear Medicine and Imaging 56
- Immunology 23
Countries citing papers authored by Eric Thunnissen
This map shows the geographic impact of Eric Thunnissen'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 Eric Thunnissen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Thunnissen more than expected).
Fields of papers citing papers by Eric Thunnissen
This network shows the impact of papers produced by Eric Thunnissen. 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 Eric Thunnissen. The network helps show where Eric Thunnissen may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Thunnissen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2016 | 54 | |
| 3 | 2016 | 47 | |
| 4 | 2014 | 17 | |
| 5 | 2016 | 15 | |
| 6 | 2016 | 1 |
About Eric Thunnissen
Eric Thunnissen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 6 papers that have together received 223 indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Medical Imaging Techniques and Applications (2 papers), CAR-T cell therapy research (1 paper), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). The work is most often cited by research in Oncology (129 citations), Cancer Research (62 citations), Pulmonary and Respiratory Medicine (122 citations), Radiology, Nuclear Medicine and Imaging (56 citations) and Immunology (23 citations). Eric Thunnissen has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Timothy Craig Allen, Dara L. Aisner, Sanja Đačić, Philip T. Cagle, Ming‐Sound Tsao, Yasushi Yatabe, Keith M. Kerr, Kirtee Raparia, Mari Mino–Kenudson and Sinchita Roy‐Chowdhuri. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Radiotherapy and Oncology, Lung Cancer and Pathology International.
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.