Johan J. de Rooi

1.3k citations
8 papers · 658 indexed · 1 hit paper · h-index 7
Topics
Glioma Diagnosis and Treatment (3 papers)Statistical Methods and Inference (2 papers)Morphological variations and asymmetry (1 paper)

In The Last Decade

Johan J. de Rooi

7 papers receiving 648 citations

Hit Papers

Intrinsic Gene Expression Profiles of Gliomas Are a Bette...20092026201420202009100200300400500

Peers

Johan J. de Rooi
Comparison fields: 5 of 81
  • Molecular Biology 344
  • Genetics 326
  • Cancer Research 242
  • Pulmonary and Respiratory Medicine 126
  • Oncology 84
Replace Carl Koschmann with:
Carl Koschmann United States
Sandra Boots‐Sprenger Netherlands
Bill H. Diplas United States
Lonneke A.M. Gravendeel Netherlands
Signe Regner Michaelsen Denmark
Lindsey Heathcock United States
Matthew Schniederjan United States
Marta Peñas-Prado United States
Aurélie Kamoun France
Aline Paixão Becker United States
Johan J. de Rooi relative to Carl Koschmann United States Carl Koschmann's profile →
Citations per field
00.5×1.5×1.9×
Carl Koschmann · 1×
Citations per year

Countries citing papers authored by Johan J. de Rooi

Since Specialization
Citations

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

Fields of papers citing papers by Johan J. de Rooi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan J. de Rooi. 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 Johan J. de Rooi. The network helps show where Johan J. de Rooi may publish in the future.

Co-authorship network of co-authors of Johan J. de Rooi

This figure shows the co-authorship network connecting the top 25 collaborators of Johan J. de Rooi. A scholar is included among the top collaborators of Johan J. de Rooi 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 Johan J. de Rooi. Johan J. de Rooi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 30
3 16
4 22
5 27
6 11
7 40
8
Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histologybreakdown →
512

About Johan J. de Rooi

Johan J. de Rooi is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 8 papers that have together received 658 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Statistical Methods and Inference (2 papers) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Genetics (326 citations), Cancer Research (242 citations) and Molecular Biology (344 citations). Johan J. de Rooi has collaborated with scholars based in Netherlands, Belgium and Denmark. Frequent co-authors include Paul H.C. Eilers, Martin J. van den Bent, Peter A.E. Sillevis Smitt, Pim J. French, Nanne K. Kloosterhof, Lonneke A.M. Gravendeel, Olivier Gevaert, Johan M. Kros, Mathilde C.M. Kouwenhoven and Fonnet E. Bleeker. Their work appears in journals such as Cancer Research, British Journal of Cancer and Plastic & Reconstructive Surgery.

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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