David B. Searls

72 total papers · 3.4k total citations
49 papers, 1.9k citations indexed

About

David B. Searls is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, David B. Searls has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in David B. Searls's work include Genetics, Bioinformatics, and Biomedical Research (18 papers), Genomics and Phylogenetic Studies (16 papers) and RNA and protein synthesis mechanisms (8 papers). David B. Searls is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (18 papers), Genomics and Phylogenetic Studies (16 papers) and RNA and protein synthesis mechanisms (8 papers). David B. Searls collaborates with scholars based in United States, United Kingdom and Italy. David B. Searls's co-authors include Robert A. Altman, Peter D. Karp, R.H. Lathrop, Douglas L. Brutlag, Pankaj Agarwal, Shan Dong, Simon Kasif, Steven L. Salzberg, G. Christian Overton and Michael Edidin and has published in prestigious journals such as Nature, Cell and Nature Reviews Drug Discovery.

In The Last Decade

David B. Searls

48 papers receiving 1.8k 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 B. Searls 1.5k 331 210 167 167 49 1.9k
Robert J. Prill 2.4k 1.6× 206 0.6× 161 0.8× 276 1.7× 131 0.8× 17 3.0k
Xinghua Shi 740 0.5× 286 0.9× 128 0.6× 220 1.3× 109 0.7× 77 1.7k
Jianhua Ruan 1.5k 1.1× 199 0.6× 171 0.8× 133 0.8× 317 1.9× 81 2.3k
Sophia Tsoka 1.3k 0.9× 179 0.5× 214 1.0× 100 0.6× 66 0.4× 86 2.4k
Jihui Wu 2.3k 1.6× 437 1.3× 162 0.8× 255 1.5× 112 0.7× 138 3.3k
Ming Li 2.2k 1.5× 946 2.9× 376 1.8× 260 1.6× 125 0.7× 66 3.3k
Gunnar W. Klau 1.5k 1.0× 273 0.8× 347 1.7× 311 1.9× 208 1.2× 81 2.5k
Tamer Kahveci 1.0k 0.7× 298 0.9× 135 0.6× 144 0.9× 144 0.9× 121 1.6k
T. M. Murali 1.9k 1.3× 398 1.2× 308 1.5× 120 0.7× 130 0.8× 74 2.7k
Gesine Reinert 874 0.6× 421 1.3× 138 0.7× 131 0.8× 74 0.4× 92 1.8k

Countries citing papers authored by David B. Searls

Since Specialization
Citations

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

Fields of papers citing papers by David B. Searls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Searls

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