John Roder

31.1k total citations · 5 hit papers
350 papers, 23.5k citations indexed

About

John Roder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, John Roder has authored 350 papers receiving a total of 23.5k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Molecular Biology, 135 papers in Cellular and Molecular Neuroscience and 100 papers in Immunology. Recurrent topics in John Roder's work include Neuroscience and Neuropharmacology Research (88 papers), Immune Cell Function and Interaction (69 papers) and Receptor Mechanisms and Signaling (37 papers). John Roder is often cited by papers focused on Neuroscience and Neuropharmacology Research (88 papers), Immune Cell Function and Interaction (69 papers) and Receptor Mechanisms and Signaling (37 papers). John Roder collaborates with scholars based in Canada, United States and United Kingdom. John Roder's co-authors include W Abramow-Newerly, Tatiana V. Lipina, Robert Gerlai, Janet Rossant, András Nagy, Roland Nagy, Jeffrey T. Henderson, Steven J. Clapcote, Viviane Labrie and A K Duwe and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John Roder

348 papers receiving 22.6k citations

Hit Papers

Derivation of completely cell culture-derived mice from e... 1979 2026 1994 2010 1993 1999 1997 2011 1979 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Roder Canada 81 12.0k 9.5k 4.3k 2.4k 2.2k 350 23.5k
Shigeyoshi Itohara Japan 84 10.2k 0.9× 7.2k 0.8× 4.6k 1.1× 2.2k 0.9× 2.5k 1.1× 277 25.4k
Karl Herrup United States 66 10.6k 0.9× 5.1k 0.5× 2.2k 0.5× 2.4k 1.0× 1.1k 0.5× 214 19.7k
Alain Prochiantz France 68 12.6k 1.0× 7.9k 0.8× 1.3k 0.3× 2.0k 0.8× 1.4k 0.6× 204 19.1k
Nancy Y. Ip Hong Kong 77 11.0k 0.9× 10.9k 1.1× 2.5k 0.6× 1.7k 0.7× 979 0.4× 314 23.8k
Frank R. Sharp United States 87 12.3k 1.0× 7.3k 0.8× 1.5k 0.3× 1.5k 0.6× 2.3k 1.0× 376 27.7k
Richard S. Jope United States 75 12.8k 1.1× 6.6k 0.7× 1.9k 0.4× 3.2k 1.4× 1.2k 0.5× 251 23.0k
Masaya Tohyama Japan 80 11.6k 1.0× 10.6k 1.1× 1.7k 0.4× 1.0k 0.4× 1.5k 0.7× 516 24.2k
Lino Tessarollo United States 79 11.0k 0.9× 5.6k 0.6× 2.6k 0.6× 2.3k 1.0× 868 0.4× 247 21.2k
Eric J. Huang United States 67 8.5k 0.7× 6.2k 0.6× 1.7k 0.4× 1.4k 0.6× 1.5k 0.7× 173 20.9k
Günther Schütz Germany 92 19.6k 1.6× 7.9k 0.8× 3.4k 0.8× 10.4k 4.4× 2.0k 0.9× 261 38.9k

Countries citing papers authored by John Roder

Since Specialization
Citations

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

Fields of papers citing papers by John Roder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Roder

This figure shows the co-authorship network connecting the top 25 collaborators of John Roder. A scholar is included among the top collaborators of John Roder 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 John Roder. John Roder 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
1.
Lipina, Tatiana V., et al.. (2016). Inhibition of glycogen synthase kinase 3 prevents synaptic long-term depression and facilitates cognition in C57BL/6J mice. 2(2). 87–102. 3 indexed citations
3.
Thompson, Misty M., John C. Marecki, Stéphane Marinesco, et al.. (2011). Paradoxical roles of serine racemase and d‐serine in the G93A mSOD1 mouse model of amyotrophic lateral sclerosis. Journal of Neurochemistry. 120(4). 598–610. 24 indexed citations
4.
Lee, Frankie H. F., Marc P. Fadel, Sabine P. Cordes, et al.. (2011). Disc1Point Mutations in Mice Affect Development of the Cerebral Cortex. Journal of Neuroscience. 31(9). 3197–3206. 101 indexed citations
5.
Saab, Bechara J., et al.. (2010). Short-term Memory Impairment after Isoflurane in Mice Is Prevented by the α5 γ-Aminobutyric Acid Type A Receptor Inverse Agonist L-655,708. Anesthesiology. 113(5). 1061–1071. 90 indexed citations
6.
Martin, Loren J., Agnieszka A. Zurek, John F. MacDonald, et al.. (2010). α5GABAAReceptor Activity Sets the Threshold for Long-Term Potentiation and Constrains Hippocampus-Dependent Memory. Journal of Neuroscience. 30(15). 5269–5282. 152 indexed citations
7.
Labrie, Viviane, Ryutaro Fukumura, Laura J. Fick, et al.. (2009). Serine racemase is associated with schizophrenia susceptibility in humans and in a mouse model. Human Molecular Genetics. 18(17). 3227–3243. 140 indexed citations
8.
Ng, David, Graham M. Pitcher, Rachel K. Szilard, et al.. (2009). Neto1 Is a Novel CUB-Domain NMDA Receptor–Interacting Protein Required for Synaptic Plasticity and Learning. PLoS Biology. 7(2). e1000041–e1000041. 141 indexed citations
9.
Clapcote, Steven J. & John Roder. (2006). Deletion Polymorphism of Disc1 Is Common to All 129 Mouse Substrains: Implications for Gene-Targeting Studies of Brain Function. Genetics. 173(4). 2407–2410. 61 indexed citations
10.
Cheng, Victor, Loren J. Martin, Erin Elliott, et al.. (2006). α5GABA A Receptors Mediate the Amnestic But Not Sedative-Hypnotic Effects of the General Anesthetic Etomidate. Journal of Neuroscience. 26(14). 3713–3720. 183 indexed citations
11.
Bai, Donglin, Robert U. Muller, & John Roder. (2002). Non‐ionotropic cross‐talk between AMPA and NMDA receptors in rodent hippocampal neurones. The Journal of Physiology. 543(1). 23–33. 16 indexed citations
12.
Cortez, Miguel A., Heng‐Ye Man, John Roder, et al.. (2001). γ-Hydroxybutyric acid-induced absence seizures in GluR2 null mutant mice. Brain Research. 897(1-2). 27–35. 17 indexed citations
13.
Gerlai, Robert, et al.. (1996). Impaired motor learning performance in cerebellar En-2 mutant mice.. Behavioral Neuroscience. 110(1). 126–133. 63 indexed citations
14.
Kurrle, R., et al.. (1995). Regulation of IL-1 activity by soluble IL-1 receptors.. PubMed. 45–57. 3 indexed citations
15.
Seniuk, Nadine A., et al.. (1994). Systemic administration of ciliary neurotrophic factor induces cachexia in rodents.. Journal of Clinical Investigation. 93(6). 2632–2638. 95 indexed citations
16.
Roder, John, Susan P.C. Cole, & Danuta Kozbor. (1986). [12] The EBV-hybridoma technique. Methods in enzymology on CD-ROM/Methods in enzymology. 121. 140–167. 33 indexed citations
17.
Helfand, Stephen L., Jerome A. Werkmeister, Hugh F. Pross, & John Roder. (1983). SHORT COMMUNICATION: Oxygen Intermediates Are Required for Interferon Activation of NK Cells. Journal of Interferon Research. 3(2). 143–151. 2 indexed citations
18.
Kozbor, Danuta, David T. Dexter, & John Roder. (1983). A Comparative Analysis of the Phenotypic Characteristics of Available Fusion Partners for the Construction of Human Hybridomas. Hybridoma. 2(1). 7–16. 22 indexed citations
19.
Kozbor, Danuta, John Roder, Tong Chang, Zenon Steplewski, & Hilary Koprowski. (1982). Human Anti-Tetanus Toxoid Monoclonal Antibody Secreted by EBV-Transformed Human B Cells Fused with Murine Myeloma. Hybridoma. 1(3). 323–328. 50 indexed citations
20.
Roder, John & Margareta Klein. (1979). Target-effector interaction in the natural killer cell system. IV. Modulation by cyclic nucleotides.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 123(6). 2785–90. 97 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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