Erik Thunnissen
- Pulmonary and Respiratory Medicine top 0.1%
- Oncology top 0.5%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Physiology top 2%
- Co-authors
- Egbert F. SmitSerpil C. ErzurumJames E. BoersAnton W. AmbergenGiuseppe GiacconeDaniëlle A.M. HeidemanNeal I. LindemanMarc Ladanyi
- Topics
- Lung Cancer Treatments and Mutations (90 papers)Lung Cancer Diagnosis and Treatment (49 papers)Cancer Genomics and Diagnostics (39 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Erik Thunnissen
228 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Pulmonary and Respiratory Medicine 6.6k
- Oncology 4.4k
- Molecular Biology 3.0k
- Cancer Research 2.7k
- Physiology 1.2k
Countries citing papers authored by Erik Thunnissen
This map shows the geographic impact of Erik 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 Erik Thunnissen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Thunnissen more than expected).
Fields of papers citing papers by Erik Thunnissen
This network shows the impact of papers produced by Erik 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 Erik Thunnissen. The network helps show where Erik Thunnissen may publish in the future.
Co-authorship network of co-authors of Erik Thunnissen
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Thunnissen. A scholar is included among the top collaborators of Erik Thunnissen 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 Erik Thunnissen. Erik Thunnissen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 56 | |
| 5 | 154 | |
| 6 | 67 | |
| 7 | 92 | |
| 8 | 28 | |
| 9 | 167 | |
| 10 | 91 | |
| 11 | 32 | |
| 12 | [Summary of the guideline 'Sentinel node biopsy in breast cancer.' Dutch Work Group 'Sentinel Node Biopsy for Breast Cancer']. | 20 |
| 13 | 1 | |
| 14 | 225 | |
| 15 | 194 | |
| 16 | 38 | |
| 17 | Interlaboratory comparison of DNA image analysis. | 11 |
| 18 | 46 | |
| 19 | 89 | |
| 20 | Characterization of the constitutively expressed nitric-oxide synthase in human respiratory epithelium in-vivo | 1 |
About Erik Thunnissen
Erik Thunnissen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 231 papers that have together received 11.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (90 papers), Lung Cancer Diagnosis and Treatment (49 papers) and Cancer Genomics and Diagnostics (39 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (6.6k citations), Cancer Research (2.7k citations) and Oncology (4.4k citations). Erik Thunnissen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Egbert F. Smit, Serpil C. Erzurum, James E. Boers, Anton W. Ambergen, Giuseppe Giaccone, Daniëlle A.M. Heideman, Neal I. Lindeman, Marc Ladanyi, Jeremy A. Squire and David J. Kwiatkowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.