Wayne P. London

29 total papers · 1.1k total citations
19 papers, 739 citations indexed

About

Wayne P. London is a scholar working on Cognitive Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Wayne P. London has authored 19 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in Social Psychology. Recurrent topics in Wayne P. London's work include Hemispheric Asymmetry in Neuroscience (7 papers), Action Observation and Synchronization (2 papers) and Protein Structure and Dynamics (2 papers). Wayne P. London is often cited by papers focused on Hemispheric Asymmetry in Neuroscience (7 papers), Action Observation and Synchronization (2 papers) and Protein Structure and Dynamics (2 papers). Wayne P. London collaborates with scholars based in United States, Poland and United Kingdom. Wayne P. London's co-authors include James A. Yorke, Theodore L. Steck, John Z. Hearon, Susan A. Albrecht, Barbara M. Taylor and Jean Firth and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and American Journal of Epidemiology.

In The Last Decade

Wayne P. London

19 papers receiving 653 citations

Hit Papers

RECURRENT OUTBREAKS OF ME... 1973 2026 1990 2008 1973 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wayne P. London 297 292 202 131 113 19 739
Dang Nguyen 225 0.8× 148 0.5× 145 0.7× 74 0.6× 120 1.1× 66 665
Christoforos Hadjichrysanthou 116 0.4× 52 0.2× 144 0.7× 60 0.5× 102 0.9× 31 764
Jing Ge 250 0.8× 185 0.6× 221 1.1× 66 0.5× 72 0.6× 58 788
Xu Zhang 317 1.1× 264 0.9× 229 1.1× 34 0.3× 186 1.6× 26 681
Stephen J. Merrill 131 0.4× 80 0.3× 71 0.4× 50 0.4× 154 1.4× 57 843
Ben Lambert 261 0.9× 119 0.4× 41 0.2× 60 0.5× 94 0.8× 55 705
Ruoyan Sun 205 0.7× 159 0.5× 79 0.4× 53 0.4× 67 0.6× 40 839
Soumya Banerjee 98 0.3× 51 0.2× 81 0.4× 46 0.4× 255 2.3× 59 812
Chang Hyeong Lee 118 0.4× 137 0.5× 72 0.4× 19 0.1× 246 2.2× 31 660
Faryad Darabi Sahneh 192 0.6× 205 0.7× 47 0.2× 30 0.2× 67 0.6× 19 853

Countries citing papers authored by Wayne P. London

Since Specialization
Citations

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

Fields of papers citing papers by Wayne P. London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne P. London. 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 Wayne P. London. The network helps show where Wayne P. London may publish in the future.

Co-authorship network of co-authors of Wayne P. London

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

All Works

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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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