James T. Rutka

39.3k citations
544 papers · 20.4k indexed · 4 hit papers · h-index 71
Topics
Glioma Diagnosis and Treatment (115 papers)Epilepsy research and treatment (115 papers)EEG and Brain-Computer Interfaces (43 papers)

In The Last Decade

James T. Rutka

530 papers receiving 20.0k citations

Hit Papers

Medulloblastoma Comprises Four Distinct Molecular Variants20022026201020182010201020022014250500750

Peers

James T. Rutka
Comparison fields: 5 of 190
  • Molecular Biology 6.5k
  • Genetics 4.4k
  • Psychiatry and Mental health 3.4k
  • Neurology 3.1k
  • Pediatrics, Perinatology and Child Health 2.8k
Replace Michael McDermott with:
Michael McDermott United States
Edward R. Laws United States
Richard A. Prayson United States
James M. Provenzale United States
Stylianos E. Antonarakis Switzerland
Ulrich Bogdahn Germany
A. James Barkovich United States
Michael Dean United States
Abass Alavi United States
Michael G. Fehlings Canada
James T. Rutka relative to Michael McDermott United States Michael McDermott's profile →
Citations per field
00.5×3.6×
Michael McDermott · 1×
Citations per year

Countries citing papers authored by James T. Rutka

Since Specialization
Citations

This map shows the geographic impact of James T. Rutka'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 James T. Rutka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Rutka more than expected).

Fields of papers citing papers by James T. Rutka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Rutka. 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 James T. Rutka. The network helps show where James T. Rutka may publish in the future.

Co-authorship network of co-authors of James T. Rutka

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Rutka. A scholar is included among the top collaborators of James T. Rutka 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 James T. Rutka. James T. Rutka 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
#WorkIndexed citations
1 0
2 12
3 7
4 1
5 14
6 9
7 1
8 19
9 38
10 8
11 109
12 49
13 33
14 44
15
Medulloblastoma Comprises Four Distinct Molecular Variantsbreakdown →
886
16 47
17 227
18 75
19 148
20 3

About James T. Rutka

James T. Rutka is a scholar working on Genetics, Psychiatry and Mental health and Neurology, having authored 544 papers that have together received 20.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (115 papers), Epilepsy research and treatment (115 papers) and EEG and Brain-Computer Interfaces (43 papers). The work is most often cited by research in Genetics (4.4k citations), Psychiatry and Mental health (3.4k citations) and Neurology (3.1k citations). James T. Rutka has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include James M. Drake, Michael D. Taylor, Hiroshi Otsubo, Warren C. W. Chan, Betty Y.S. Kim, O. Carter Snead, Éric Bouffet, Cynthia Hawkins, Christian A. Smith and Ayako Ochi. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Genetics.

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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