Stephen W. Doughty

52 total papers · 1.4k total citations
46 papers, 1.1k citations indexed

About

Stephen W. Doughty is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephen W. Doughty has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephen W. Doughty's work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (5 papers) and Neuropeptides and Animal Physiology (4 papers). Stephen W. Doughty is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (5 papers) and Neuropeptides and Animal Physiology (4 papers). Stephen W. Doughty collaborates with scholars based in United Kingdom, Malaysia and Australia. Stephen W. Doughty's co-authors include Hui Wen Ng, Roy M. Robins‐Browne, Elizabeth L. Hartland, Joan Sloan, Charles A. Laughton, Marcus Robertson, Vicki Bennett‐Wood, Carmel G. Ruffolo, Ben Adler and Michael J. C. Buckle and has published in prestigious journals such as Trends in Biochemical Sciences, Journal of Medicinal Chemistry and Carbohydrate Polymers.

In The Last Decade

Stephen W. Doughty

46 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Stephen W. Doughty 426 206 180 120 107 46 1.1k
Petri Urvil 646 1.5× 195 0.9× 196 1.1× 93 0.8× 33 0.3× 20 1.4k
Kristin Jansen Labby 493 1.2× 61 0.3× 102 0.6× 166 1.4× 77 0.7× 16 1.0k
J.M. Ruysschaert 897 2.1× 184 0.9× 132 0.7× 53 0.4× 54 0.5× 41 1.5k
Jason A. Moss 717 1.7× 68 0.3× 142 0.8× 154 1.3× 94 0.9× 28 1.2k
Octavio Monasterio 850 2.0× 65 0.3× 54 0.3× 71 0.6× 118 1.1× 63 1.3k
Fernando A. Martín 683 1.6× 150 0.7× 53 0.3× 120 1.0× 47 0.4× 31 1.2k
Karina Persson 702 1.6× 93 0.5× 88 0.5× 197 1.6× 56 0.5× 48 1.3k
Lake N. Paul 611 1.4× 59 0.3× 179 1.0× 133 1.1× 46 0.4× 35 1.1k
Andrea T. Hadfield 613 1.4× 41 0.2× 116 0.6× 121 1.0× 131 1.2× 30 1.2k
Juan F. González 673 1.6× 124 0.6× 78 0.4× 395 3.3× 52 0.5× 69 1.5k

Countries citing papers authored by Stephen W. Doughty

Since Specialization
Citations

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

Fields of papers citing papers by Stephen W. Doughty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen W. Doughty. 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 Stephen W. Doughty. The network helps show where Stephen W. Doughty may publish in the future.

Co-authorship network of co-authors of Stephen W. Doughty

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

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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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