J. C. Tonn

8.5k total citations · 2 hit papers
119 papers, 3.6k citations indexed

About

J. C. Tonn is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. C. Tonn has authored 119 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Genetics, 37 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. C. Tonn's work include Glioma Diagnosis and Treatment (75 papers), Meningioma and schwannoma management (24 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). J. C. Tonn is often cited by papers focused on Glioma Diagnosis and Treatment (75 papers), Meningioma and schwannoma management (24 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). J. C. Tonn collaborates with scholars based in Germany, Switzerland and United States. J. C. Tonn's co-authors include Michael Weller, Riccardo Soffietti, Bogdana Suchorska, Guido Reifenberger, Friedrich W. Kreth, Christian la Fougère, Niklas Thon, Nathalie L. Albert, Gabriele Pöpperl and Roland Goldbrunner and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Neurology.

In The Last Decade

J. C. Tonn

110 papers receiving 3.6k citations

Hit Papers

Response Assessment in Neuro-Oncology working group and E... 2016 2026 2019 2022 2016 2016 100 200 300 400

Peers

J. C. Tonn
Comparison fields: 5 of 115
  • Genetics 2.3k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pulmonary and Respiratory Medicine 982
  • Epidemiology 600
  • Molecular Biology 584
Replace Mei‐Yin C. Polley with:
Mei‐Yin C. Polley United States
Sara Erridge United Kingdom
John DeGroot United States
Niklas Thon Germany
Oliver Schnell Germany
Alicia Tosoni Italy
Nathalie L. Albert Germany
Jens Schittenhelm Germany
Marion Rapp Germany
Florence Laigle–Donadey France
Mei‐Yin C. Polley United States View profile →
Citations per field, relative to J. C. Tonn
J. C. Tonn · 1×
Citations per year, relative to J. C. Tonn
J. C. Tonn · 1×

Countries citing papers authored by J. C. Tonn

Since Specialization
Citations

This map shows the geographic impact of J. C. Tonn'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 J. C. Tonn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. C. Tonn more than expected).

Fields of papers citing papers by J. C. Tonn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Tonn. 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 J. C. Tonn. The network helps show where J. C. Tonn may publish in the future.

Co-authorship network of co-authors of J. C. Tonn

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Tonn. A scholar is included among the top collaborators of J. C. Tonn 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 J. C. Tonn. J. C. Tonn 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 0
2 0
3 1
4 0
5 21
6 6
7 2
8 27
9 3
10 6
11 1
12 5
13 5
14 18
15 4
16 28
17 164
18 19
19 12
20 22

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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2026