Richard C. Rayne

26 total papers · 686 total citations
22 papers, 589 citations indexed

About

Richard C. Rayne is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Insect Science. According to data from OpenAlex, Richard C. Rayne has authored 22 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Insect Science. Recurrent topics in Richard C. Rayne's work include Neurobiology and Insect Physiology Research (11 papers), Insect Utilization and Effects (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Richard C. Rayne is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Insect Utilization and Effects (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Richard C. Rayne collaborates with scholars based in United Kingdom, United States and Mexico. Richard C. Rayne's co-authors include Michael O’Shea, Geoffrey M. Coast, V. Riveros‐Moreno, Maurice R. Elphick, Salvador Moncada, W.W.Y. Lam, Kevin S. J. Thompson, J.P. Bacon, John K. Koeppe and Philip M. Bath and has published in prestigious journals such as Brain Research, European Journal of Biochemistry and Cellular and Molecular Life Sciences.

In The Last Decade

Richard C. Rayne

22 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Richard C. Rayne 399 198 153 126 85 22 589
Muneki Ikeda 366 0.9× 115 0.6× 103 0.7× 194 1.5× 50 0.6× 14 620
Kohei Ueno 406 1.0× 133 0.7× 177 1.2× 124 1.0× 46 0.5× 19 601
Sören Diegelmann 441 1.1× 125 0.6× 148 1.0× 160 1.3× 46 0.5× 13 563
Hans Agricola 580 1.5× 192 1.0× 120 0.8× 222 1.8× 108 1.3× 16 652
Hans‐Jürgen Agricola 480 1.2× 183 0.9× 165 1.1× 172 1.4× 120 1.4× 13 671
Nikola Dimitrijević 228 0.6× 130 0.7× 216 1.4× 77 0.6× 34 0.4× 34 609
Birgit Michels 367 0.9× 140 0.7× 148 1.0× 204 1.6× 58 0.7× 21 585
Herman K. Lehman 493 1.2× 163 0.8× 211 1.4× 174 1.4× 54 0.6× 18 672
Anita V. Devineni 507 1.3× 252 1.3× 102 0.7× 157 1.2× 104 1.2× 18 667
Azza Sellami 413 1.0× 133 0.7× 90 0.6× 110 0.9× 58 0.7× 13 538

Countries citing papers authored by Richard C. Rayne

Since Specialization
Citations

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

Fields of papers citing papers by Richard C. Rayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard C. Rayne. 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 Richard C. Rayne. The network helps show where Richard C. Rayne may publish in the future.

Co-authorship network of co-authors of Richard C. Rayne

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026