Erik Thunnissen

33.5k total citations · 1 hit paper
231 papers, 11.6k citations indexed

About

Erik Thunnissen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Erik Thunnissen has authored 231 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Pulmonary and Respiratory Medicine, 93 papers in Oncology and 49 papers in Molecular Biology. Recurrent topics in Erik Thunnissen's work include Lung Cancer Treatments and Mutations (90 papers), Lung Cancer Diagnosis and Treatment (49 papers) and Cancer Genomics and Diagnostics (39 papers). Erik Thunnissen is often cited by papers focused on Lung Cancer Treatments and Mutations (90 papers), Lung Cancer Diagnosis and Treatment (49 papers) and Cancer Genomics and Diagnostics (39 papers). Erik Thunnissen collaborates with scholars based in Netherlands, United States and United Kingdom. Erik Thunnissen's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Erik Thunnissen

228 papers receiving 11.4k citations

Hit Papers

Molecular Testing Guideline for Selection of Lung Cancer ... 2013 2026 2017 2021 2013 250 500 750

Peers

Erik Thunnissen
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
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Citations per field, relative to Erik Thunnissen
Erik Thunnissen · 1×
Citations per year, relative to Erik Thunnissen
Erik Thunnissen · 1×

Countries citing papers authored by Erik Thunnissen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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