John G. Partridge

2.0k total citations
23 papers, 1.6k citations indexed

About

John G. Partridge is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John G. Partridge has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in John G. Partridge's work include Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Receptor Mechanisms and Signaling (6 papers). John G. Partridge is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Receptor Mechanisms and Signaling (6 papers). John G. Partridge collaborates with scholars based in United States, China and Czechia. John G. Partridge's co-authors include David M. Lovinger, Carl R. Lupica, Gregory L. Gerdeman, Stefano Vicini, Ronald S. Petralia, Huimin Zhao, José A. Esteban, Roberto Malinow, Robert J. Wenthold and Rupa R. Lalchandani and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

John G. Partridge

22 papers receiving 1.6k citations

Peers

John G. Partridge
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 622
  • Cognitive Neuroscience 484
  • Pharmacology 145
  • Neurology 131
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Citations per field, relative to John G. Partridge
John G. Partridge · 1×
Citations per year, relative to John G. Partridge
John G. Partridge · 1×

Countries citing papers authored by John G. Partridge

Since Specialization
Citations

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

Fields of papers citing papers by John G. Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John G. Partridge

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Partridge. A scholar is included among the top collaborators of John G. Partridge 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 G. Partridge. John G. Partridge 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
# Work Indexed citations
1 35
2 59
3 10
4 8
5 39
6 71
7 37
8 23
9 51
10 32
11 4
12 41
13 8
14
Getting Into German: Multidisciplinary Linguistic Approaches
0
15 69
16 375
17 96
18 407
19 1
20 23

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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