J.-C. Tonn

23 papers receiving 1.4k citations

Hit Papers

High-grade glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up 2014 · 570 citations
5702014202620182022100200300400500

Peers

J.-C. Tonn
Comparison fields: 5 of 92
  • Genetics 724
  • Cancer Research 231
  • Neurology 149
  • Pulmonary and Respiratory Medicine 318
  • Radiology, Nuclear Medicine and Imaging 207
Replace Kraig Moore with:
Kraig Moore United States
Danielle Schüler France
Jordonna Fulop United States
Ulf Nestler Germany
Fanny Burel‐Vandenbos France
Peter McL. Black United States
Xiaoguang Qiu China
David Tran United States
Toshio Sasajima Japan
Andrey Golanov Russia
J.-C. Tonn relative to Kraig Moore United States Kraig Moore's profile →
Citations per field
00.5×3.9×
Kraig Moore · 1×
Citations per year

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-authors

The 25 scholars most cited alongside J.-C. Tonn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.-C. Tonn Line = papers co-authored together J.-C. Tonn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202354
2 201775
3
High-grade glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Hit paper breakdown →
2014570
4 201211
5 201045
6 2009100
7 20062
8 20063
9 20047
10 200396
11 200318
12 200218
13 200224
14 200250
15 200165
16 200129
17 199820
18 19989
19
Transfection and dye premarking of human and rat glioma cell lines affects adhesion, migration and proliferation.
199814
20 19966

About J.-C. Tonn

J.-C. Tonn is a scholar working on Genetics, Immunology and Allergy, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Anesthesiology and Pain Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Meningioma and schwannoma management (4 papers), Medical Imaging Techniques and Applications (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Brain Metastases and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Tumors and Oncological Cases (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Genetics (724 citations), Cancer Research (231 citations), Neurology (149 citations), Pulmonary and Respiratory Medicine (318 citations) and Radiology, Nuclear Medicine and Imaging (207 citations). J.-C. Tonn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin J. van den Bent, George Pentheroudakis, Roger Stupp, M. Brada, Torsten Pietsch, O. D. Wiestler, Frank Berthold, Alexander Novotny, Nils A. Sörensen and Walter Stummer. Their work appears in journals such as Neuropathology and Applied Neurobiology, Neuroradiology, Annals of Oncology, British Journal of Cancer and Acta Anaesthesiologica Scandinavica.

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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