David S. Stephens

12 total papers · 1.6k total citations
8 papers, 460 citations indexed

About

David S. Stephens is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, David S. Stephens has authored 8 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Epidemiology. Recurrent topics in David S. Stephens's work include Bacillus and Francisella bacterial research (3 papers), Bacterial Infections and Vaccines (2 papers) and Bacterial Genetics and Biotechnology (2 papers). David S. Stephens is often cited by papers focused on Bacillus and Francisella bacterial research (3 papers), Bacterial Infections and Vaccines (2 papers) and Bacterial Genetics and Biotechnology (2 papers). David S. Stephens collaborates with scholars based in United States. David S. Stephens's co-authors include David M. Bell, Phyllis E. Kozarsky, Bradley A. Perkins, Lisa M. Flannagan, Jeannette Guarner, John A. Jernigan, David A. Ashford, Russell W. Carlson, Sherif R. Zaki and Wun‐Ju Shieh and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The American Journal of Medicine.

In The Last Decade

David S. Stephens

8 papers receiving 438 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 S. Stephens 243 116 116 105 88 8 460
Wdee Thienphrapa 204 0.8× 57 0.5× 134 1.2× 43 0.4× 49 0.6× 10 491
J. G. M. Hastings 214 0.9× 98 0.8× 214 1.8× 46 0.4× 48 0.5× 23 474
Anu Daniel 204 0.8× 42 0.4× 171 1.5× 59 0.6× 123 1.4× 6 433
Nathalie Josseaume 274 1.1× 74 0.6× 165 1.4× 146 1.4× 30 0.3× 17 515
Alvin S. Kalinda 195 0.8× 139 1.2× 95 0.8× 75 0.7× 103 1.2× 9 542
Anindita Das 224 0.9× 58 0.5× 193 1.7× 38 0.4× 58 0.7× 18 473
Cordula Gekeler 317 1.3× 38 0.3× 223 1.9× 93 0.9× 111 1.3× 10 543
Susanne Rohrer 306 1.3× 53 0.5× 326 2.8× 104 1.0× 37 0.4× 7 514
Anne‐Laure Prunier 274 1.1× 79 0.7× 232 2.0× 139 1.3× 25 0.3× 9 529
Gilda de Cespédès 160 0.7× 114 1.0× 270 2.3× 74 0.7× 43 0.5× 16 482

Countries citing papers authored by David S. Stephens

Since Specialization
Citations

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

Fields of papers citing papers by David S. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Stephens

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