Jim Rutka

1.4k citations
10 papers · 1.0k indexed · 1 hit paper · h-index 8
Topics
Glioma Diagnosis and Treatment (3 papers)Hedgehog Signaling Pathway Studies (2 papers)Cancer Cells and Metastasis (2 papers)

In The Last Decade

Jim Rutka

10 papers receiving 983 citations

Hit Papers

Radial glia cells are candidate stem cells of ependymoma20052026201220192005100200300400500

Peers

Jim Rutka
Comparison fields: 5 of 66
  • Molecular Biology 433
  • Genetics 433
  • Oncology 282
  • Cancer Research 251
  • Neurology 142
Replace Joanne L. Attema with:
Joanne L. Attema Australia
Bertrand Vernay United Kingdom
Giovanni Amabile United States
Carly Leung Switzerland
Raymund L. Yong United States
Reneé Shapiro United States
Masahiro Tanji Japan
Atsushi Tsugu Japan
Marco Mineo United States
Ji Woong Han United States
Jim Rutka relative to Joanne L. Attema Australia Joanne L. Attema's profile →
Citations per field
00.5×1.5×1.9×
Joanne L. Attema · 1×
Citations per year

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
#WorkIndexed citations
1 8
2
Radial glia cells are candidate stem cells of ependymomabreakdown →
579
3 80
4
Reovirus prolongs survival and reduces the frequency of spinal and leptomeningeal metastases from medulloblastoma.
59
5 17
6
Verotoxin induces apoptosis and the complete, rapid, long-term elimination of human astrocytoma xenografts in nude mice.
60
7
Cell-mediated allergy to a cerebral aneurysm clip: Case report - Comments
7
8 31
9 7
10
Expression of metalloproteinases and metalloproteinase inhibitors by fetal astrocytes and glioma cells.
157

About Jim Rutka

Jim Rutka is a scholar working on Genetics, Oncology and Biotechnology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Genetics (433 citations), Developmental Neuroscience (113 citations) and Cancer Research (251 citations). Jim Rutka has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tom Curran, Abhijit Guha, Tobey J. MacDonald, Christine Fuller, Susan Magdaleno, Helen Poppleton, Julian Board, Patricia Jensen, Michael D. Taylor and Richard J. Gilbertson. Their work appears in journals such as Cancer Cell, Neurosurgery and Clinical Neurophysiology.

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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