P. G. Haydon

19 total papers · 1.9k total citations
19 papers, 1.6k citations indexed

About

P. G. Haydon is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, P. G. Haydon has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in P. G. Haydon's work include Neurobiology and Insect Physiology Research (11 papers), Ion channel regulation and function (4 papers) and Lipid Membrane Structure and Behavior (4 papers). P. G. Haydon is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Ion channel regulation and function (4 papers) and Lipid Membrane Structure and Behavior (4 papers). P. G. Haydon collaborates with scholars based in United States and United Kingdom. P. G. Haydon's co-authors include Stanley B. Kater, D. P. McCobb, Donald S. Sakaguchi, Eric Henderson, William Winlow, Vladimir Parpura, Arun V. Holden, R. Doyle, Paul R. Benjamin and Silvio P. Marchese‐Ragona and has published in prestigious journals such as Science, Journal of Neuroscience and Journal of Experimental Biology.

In The Last Decade

P. G. Haydon

19 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
P. G. Haydon	973	555	334	328	217	19	1.6k
Irmgard D. Dietzel	1.2k 1.2×	892 1.6×	321 1.0×	75 0.2×	309 1.4×	50	2.3k
T. Kaneko	916 0.9×	834 1.5×	145 0.4×	68 0.2×	341 1.6×	70	2.0k
Kenneth J. Hayworth	556 0.6×	664 1.2×	73 0.2×	343 1.0×	376 1.7×	30	2.0k
Mutsuo Nuriya	1.1k 1.1×	944 1.7×	91 0.3×	127 0.4×	275 1.3×	43	1.8k
Marianne Renner	1.2k 1.2×	1.2k 2.2×	107 0.3×	350 1.1×	156 0.7×	40	2.3k
Ying Hu	906 0.9×	1.3k 2.3×	163 0.5×	118 0.4×	66 0.3×	27	2.2k
Ian G. Davison	1.4k 1.4×	673 1.2×	43 0.1×	354 1.1×	421 1.9×	38	2.1k
Clay Lacefield	999 1.0×	435 0.8×	76 0.2×	109 0.3×	866 4.0×	29	1.9k
Antoine G. Godin	789 0.8×	859 1.5×	138 0.4×	95 0.3×	99 0.5×	46	1.9k
Minoru Koyama	359 0.4×	345 0.6×	56 0.2×	319 1.0×	450 2.1×	35	1.3k

Countries citing papers authored by P. G. Haydon

Since Specialization

Citations

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

Fields of papers citing papers by P. G. Haydon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. G. Haydon

This figure shows the co-authorship network connecting the top 25 collaborators of P. G. Haydon. A scholar is included among the top collaborators of P. G. Haydon 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 P. G. Haydon. P. G. Haydon 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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