David J. Rowbotham

132 total papers · 4.6k total citations
93 papers, 3.1k citations indexed

About

David J. Rowbotham is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, David J. Rowbotham has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 30 papers in Molecular Biology and 27 papers in Surgery. Recurrent topics in David J. Rowbotham's work include Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (24 papers) and Pain Mechanisms and Treatments (21 papers). David J. Rowbotham is often cited by papers focused on Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (24 papers) and Pain Mechanisms and Treatments (21 papers). David J. Rowbotham collaborates with scholars based in United Kingdom, Italy and United States. David J. Rowbotham's co-authors include David G. Lambert, Beverley Nicol, Ellen Dukes, Jonathan P. Thompson, W.S. Nimmo, Anne M. McDermott, Caroline Schaefer, Thomas Toelle, Donal J. Buggy and P. Barker and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Pain.

In The Last Decade

David J. Rowbotham

89 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
David J. Rowbotham 976 948 869 855 735 93 3.1k
Pamela Flood 929 1.0× 833 0.9× 403 0.5× 877 1.0× 930 1.3× 124 3.8k
Margarita M. Puig 1.1k 1.1× 655 0.7× 1.2k 1.4× 839 1.0× 760 1.0× 143 3.1k
Toni T. Seppälä 563 0.6× 628 0.7× 704 0.8× 582 0.7× 416 0.6× 169 4.0k
Chih‐Shung Wong 686 0.7× 696 0.7× 919 1.1× 1.2k 1.4× 400 0.5× 98 2.7k
Walter L. Way 614 0.6× 1.6k 1.7× 380 0.4× 741 0.9× 444 0.6× 61 3.3k
David P. Martin 459 0.5× 486 0.5× 1.2k 1.4× 1.2k 1.4× 478 0.7× 160 4.5k
Marieke Niesters 478 0.5× 1.3k 1.3× 1.3k 1.5× 791 0.9× 325 0.4× 125 4.1k
Peter Gerner 589 0.6× 552 0.6× 1.6k 1.8× 1.4k 1.6× 498 0.7× 70 3.1k
Luc J. Teppema 497 0.5× 1.1k 1.2× 1.0k 1.2× 532 0.6× 460 0.6× 81 4.1k
Elise Sarton 838 0.9× 2.0k 2.2× 1.9k 2.2× 917 1.1× 604 0.8× 101 5.3k

Countries citing papers authored by David J. Rowbotham

Since Specialization
Citations

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

Fields of papers citing papers by David J. Rowbotham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Rowbotham. 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 David J. Rowbotham. The network helps show where David J. Rowbotham may publish in the future.

Co-authorship network of co-authors of David J. Rowbotham

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Rowbotham. A scholar is included among the top collaborators of David J. Rowbotham 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 David J. Rowbotham. David J. Rowbotham 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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