Jim Rutka

1.4k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Jim Rutka is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jim Rutka has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Jim Rutka's work include Glioma Diagnosis and Treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Cancer Cells and Metastasis (2 papers). Jim Rutka is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Cancer Cells and Metastasis (2 papers). Jim Rutka collaborates with scholars based in Canada, United States and United Kingdom. Jim Rutka's co-authors include Tom Curran, Xiaoping Su, Patricia Jensen, Yongxing Liu, Abhijit Guha, Amar Gajjar, Richard J. Gilbertson, Michael D. Taylor, Christine Fuller and Helen Poppleton and has published in prestigious journals such as Cancer Cell, Neurosurgery and Clinical Neurophysiology.

In The Last Decade

Jim Rutka

10 papers receiving 983 citations

Hit Papers

Radial glia cells are candidate stem cells of ependymoma 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jim Rutka Canada 8 433 433 282 251 142 10 1.0k
Raymund L. Yong United States 17 600 1.4× 469 1.1× 230 0.8× 258 1.0× 90 0.6× 48 1.2k
Daisuke Kawauchi Japan 17 837 1.9× 260 0.6× 196 0.7× 177 0.7× 63 0.4× 41 1.2k
Atsushi Tsugu Japan 16 359 0.8× 192 0.4× 209 0.7× 85 0.3× 61 0.4× 28 797
Joanne L. Attema Australia 17 1.1k 2.4× 284 0.7× 205 0.7× 368 1.5× 75 0.5× 21 1.8k
Virginia Bertness United States 16 1.1k 2.6× 198 0.5× 460 1.6× 182 0.7× 204 1.4× 18 1.9k
Bertrand Vernay United Kingdom 14 884 2.0× 101 0.2× 198 0.7× 123 0.5× 67 0.5× 19 1.5k
Constanze Kaiser United States 10 827 1.9× 143 0.3× 403 1.4× 201 0.8× 27 0.2× 12 1.3k
Carly Leung Switzerland 12 1.0k 2.4× 153 0.4× 364 1.3× 176 0.7× 29 0.2× 15 1.3k
J. Matthew McDonald United States 12 534 1.2× 427 1.0× 197 0.7× 262 1.0× 72 0.5× 20 1.1k
Armin Pscherer Germany 18 1.0k 2.4× 178 0.4× 201 0.7× 377 1.5× 47 0.3× 22 1.5k

Countries citing papers authored by Jim Rutka

Since Specialization
Citations

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

Fields of papers citing papers by Jim Rutka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Rutka

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

All Works

10 of 10 papers shown
1.
Taylor, Michael D., Helen Poppleton, Christine Fuller, et al.. (2006). Radial glia cells are candidate stem cells of ependymoma. Cancer Cell. 9(1). 70–70. 8 indexed citations
2.
Taylor, Michael D., Helen Poppleton, Christine Fuller, et al.. (2005). Radial glia cells are candidate stem cells of ependymoma. Cancer Cell. 8(4). 323–335. 579 indexed citations breakdown →
3.
Akiyama, Tomoyuki, Hiroshi Otsubo, Atsuo Ochi, et al.. (2005). Focal cortical high-frequency oscillations trigger epileptic spasms: Confirmation by digital video subdural EEG. Clinical Neurophysiology. 116(12). 2819–2825. 80 indexed citations
4.
Yang, Wenqing, Donna L. Senger, Huong Muzik, et al.. (2003). Reovirus prolongs survival and reduces the frequency of spinal and leptomeningeal metastases from medulloblastoma.. PubMed. 63(12). 3162–72. 59 indexed citations
5.
Hodaie, Mojgan, L. E. Becker, Ikuko Teshima, & Jim Rutka. (2001). Total Resection of an Intracerebral Hemangioendothelioma in an Infant. Pediatric Neurosurgery. 34(2). 104–112. 17 indexed citations
6.
Rutka, Jim, et al.. (1999). Verotoxin induces apoptosis and the complete, rapid, long-term elimination of human astrocytoma xenografts in nude mice.. PubMed. 11(1). 33–9. 60 indexed citations
7.
Rutka, Jim & H. Hunt Batjer. (1998). Cell-mediated allergy to a cerebral aneurysm clip: Case report - Comments. Neurosurgery. 43(5). 1209–1211. 7 indexed citations
8.
Jay, Venita, Vern Edwards, Jeremy A. Squire, & Jim Rutka. (1993). Astroblastoma: Report of a Case with Ultrastructural, Cell Kinetic, and Cytogenetic Analysis. Pediatric Pathology. 13(3). 323–332. 31 indexed citations
9.
Rutka, Jim, Richard E. George, George S. Davidson, & Harold J. Hoffman. (1991). Low-grade astrocytoma of the tectal region as an unusual cause of knee pain. Neurosurgery. 29(4). 608–608. 7 indexed citations
10.
Apodaca, Gerard, Jim Rutka, Karyn Bouhana, et al.. (1990). Expression of metalloproteinases and metalloproteinase inhibitors by fetal astrocytes and glioma cells.. PubMed. 50(8). 2322–9. 157 indexed citations

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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