Reed B. Jacob

489 total citations
10 papers, 307 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 307 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), Microbial Natural Products and Biosynthesis (2 papers) and Receptor Mechanisms and Signaling (2 papers). Reed B. Jacob is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Microbial Natural Products and Biosynthesis (2 papers) and Receptor Mechanisms and Signaling (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, Cheryl L. Jorcyk, Ken Tawara, Randall E. Ryan, Liliana F. Mellor, Greg Hampikian, Abhijnan Chattopadhyay and Ken Fujise 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 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Reed B. Jacob United States	8	204	96	37	35	27	10	307
Chetan Chintha India	10	200 1.0×	118 1.2×	59 1.6×	48 1.4×	31 1.1×	16	396
Rajan Chaudhari United States	9	229 1.1×	94 1.0×	31 0.8×	20 0.6×	33 1.2×	15	329
Imteyaz Qamar India	11	147 0.7×	71 0.7×	34 0.9×	26 0.7×	18 0.7×	27	373
Mohd Imran Khan India	13	153 0.8×	62 0.6×	41 1.1×	34 1.0×	19 0.7×	40	401
Hazel Corradi United Kingdom	8	323 1.6×	92 1.0×	52 1.4×	81 2.3×	17 0.6×	12	442
Megan Egbert United States	8	254 1.2×	130 1.4×	35 0.9×	30 0.9×	27 1.0×	11	364
Tadakazu Takakura Japan	8	152 0.7×	108 1.1×	35 0.9×	22 0.6×	44 1.6×	9	332
Palani Kirubakaran India	12	262 1.3×	116 1.2×	58 1.6×	80 2.3×	21 0.8×	22	416
M. Alarcon Colombia	6	165 0.8×	38 0.4×	18 0.5×	29 0.8×	32 1.2×	6	390
Jonathan Blanchet Canada	9	194 1.0×	45 0.5×	33 0.9×	16 0.5×	19 0.7×	11	359

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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10 of 10 papers shown

Jacob, Reed B., et al.. (2016). Harnessing Nature’s Diversity: Discovering organophosphate bioscavenger characteristics among low molecular weight proteins. Scientific Reports. 6(1). 37175–37175. 7 indexed citations

Chattopadhyay, Abhijnan, Decha Pinkaew, Hung Q. Doan, et al.. (2016). Fortilin potentiates the peroxidase activity of Peroxiredoxin-1 and protects against alcohol-induced liver damage in mice. Scientific Reports. 6(1). 18701–18701. 29 indexed citations

Ryan, Randall E., Liliana F. Mellor, Reed B. Jacob, et al.. (2015). Oncostatin M binds to extracellular matrix in a bioactive conformation: Implications for inflammation and metastasis. Cytokine. 72(1). 71–85. 37 indexed citations

Jacob, Reed B., et al.. (2013). DockoMatic 2.0: High Throughput Inverse Virtual Screening and Homology Modeling. Journal of Chemical Information and Modeling. 53(8). 2161–2170. 26 indexed citations

Fang, Ming, Reed B. Jacob, Owen M. McDougal, & Julia Thom Oxford. (2012). Minor fibrillar collagens, variable regions alternative splicing, intrinsic disorder, and tyrosine sulfation. Protein & Cell. 3(6). 419–433. 10 indexed citations

Jacob, Reed B., Tim Andersen, & Owen M. McDougal. (2012). Accessible High-Throughput Virtual Screening Molecular Docking Software for Students and Educators. PLoS Computational Biology. 8(5). e1002499–e1002499. 90 indexed citations

Jacob, Reed B.. (2012). Dockomatic: An Emerging Resource to Manage Molecular Docking. Scholar Works (Boise State University). 1 indexed citations

Jacob, Reed B., et al.. (2011). DockoMatic: Automated peptide analog creation for high throughput virtual screening. Journal of Computational Chemistry. 32(13). 2936–2941. 17 indexed citations

Jacob, Reed B., et al.. (2010). Dockomatic - automated ligand creation and docking. BMC Research Notes. 3(1). 289–289. 19 indexed citations

10.

Jacob, Reed B. & Owen M. McDougal. (2009). The M-superfamily of conotoxins: a review. Cellular and Molecular Life Sciences. 67(1). 17–27. 71 indexed citations

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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