Reed B. Jacob

19 total papers · 488 total citations
10 papers, 304 citations indexed

About

Reed B. Jacob is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Reed B. Jacob has authored 10 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Reed B. Jacob's work include Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Reed B. Jacob is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Reed B. Jacob collaborates with scholars based in United States and Canada. Reed B. Jacob's co-authors include Owen M. McDougal, Tim Andersen, Julia Thom Oxford, Ken Tawara, Randall E. Ryan, Cheryl L. Jorcyk, Liliana F. Mellor, Greg Hampikian, Ken Fujise and Muge N. Kuyumcu‐Martinez and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Journal of Computational Chemistry.

In The Last Decade

Reed B. Jacob

10 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Reed B. Jacob 202 95 37 34 27 10 304
Rajan Chaudhari 226 1.1× 95 1.0× 30 0.8× 20 0.6× 33 1.2× 14 323
Szymon Pach 138 0.7× 116 1.2× 62 1.7× 33 1.0× 30 1.1× 13 265
Tadakazu Takakura 153 0.8× 109 1.1× 35 0.9× 22 0.6× 44 1.6× 9 331
Muhammad Hassan 165 0.8× 67 0.7× 40 1.1× 23 0.7× 21 0.8× 16 308
I. Grossman 142 0.7× 95 1.0× 23 0.6× 24 0.7× 31 1.1× 7 358
Rick Oerlemans 223 1.1× 82 0.9× 45 1.2× 18 0.5× 15 0.6× 12 342
Douglas E. V. Pires 156 0.8× 61 0.6× 38 1.0× 13 0.4× 16 0.6× 13 263
Yu‐Sen Wang 209 1.0× 120 1.3× 48 1.3× 20 0.6× 45 1.7× 13 318
Megan Egbert 247 1.2× 129 1.4× 33 0.9× 30 0.9× 27 1.0× 11 353
Sabine Schultes 189 0.9× 89 0.9× 81 2.2× 32 0.9× 21 0.8× 8 306

Countries citing papers authored by Reed B. Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Reed B. Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reed B. Jacob

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