Timothy M. Jacobs

2.0k total citations
28 papers, 812 citations indexed

About

Timothy M. Jacobs is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Timothy M. Jacobs has authored 28 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Timothy M. Jacobs's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers) and RNA and protein synthesis mechanisms (6 papers). Timothy M. Jacobs is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers) and RNA and protein synthesis mechanisms (6 papers). Timothy M. Jacobs collaborates with scholars based in United States, Canada and United Kingdom. Timothy M. Jacobs's co-authors include Samuel K. Lai, Justin T. Huckaby, Brian Kuhlman, Justin McCallen, Dominic T. Moore, Qi Yang, Jasmine Edelstein, Alexander Eletsky, Thomas Szyperski and Tishan Williams and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Timothy M. Jacobs

26 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy M. Jacobs United States 13 505 144 127 112 99 28 812
Hidefumi Mukai Japan 17 503 1.0× 121 0.8× 76 0.6× 172 1.5× 53 0.5× 55 819
Ladan Parhamifar Denmark 20 612 1.2× 221 1.5× 122 1.0× 206 1.8× 146 1.5× 31 1.0k
Simona Jevševar Slovenia 11 699 1.4× 145 1.0× 244 1.9× 94 0.8× 99 1.0× 15 1.1k
Stefan Hoffmann Germany 17 349 0.7× 174 1.2× 50 0.4× 121 1.1× 93 0.9× 26 831
Zhaohua Huang United States 18 692 1.4× 347 2.4× 109 0.9× 204 1.8× 94 0.9× 43 1.1k
Kazunori Toma Japan 21 698 1.4× 219 1.5× 165 1.3× 114 1.0× 161 1.6× 64 1.2k
Cristina Monfardini United States 13 344 0.7× 179 1.2× 132 1.0× 87 0.8× 83 0.8× 19 757
Marshall S. Padilla United States 16 616 1.2× 151 1.0× 34 0.3× 152 1.4× 145 1.5× 27 931
Eric Voltà‐Durán Spain 13 301 0.6× 118 0.8× 89 0.7× 58 0.5× 78 0.8× 33 467

Countries citing papers authored by Timothy M. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Timothy M. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy M. Jacobs. 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 Timothy M. Jacobs. The network helps show where Timothy M. Jacobs may publish in the future.

Co-authorship network of co-authors of Timothy M. Jacobs

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

All Works

20 of 20 papers shown
1.
Yang, Qi, Justin T. Huckaby, Timothy M. Jacobs, et al.. (2024). Analysis of Pre-existing IgG and IgM Antibodies against Polyethylene Glycol (PEG) in the General Population. Figshare.
2.
Schaefer, Alison, Yong Zhu, Jamal I. Saada, et al.. (2021). Engineering sperm-binding IgG antibodies for the development of an effective nonhormonal female contraception. Science Translational Medicine. 13(606). 8 indexed citations
3.
Huckaby, Justin T., Elisa Landoni, Timothy M. Jacobs, et al.. (2021). Bispecific binder redirected lentiviral vector enables in vivo engineering of CAR-T cells. Journal for ImmunoTherapy of Cancer. 9(9). e002737–e002737. 47 indexed citations
4.
Huckaby, Justin T., Timothy M. Jacobs, Zhongbo Li, et al.. (2020). Structure of an anti-PEG antibody reveals an open ring that captures highly flexible PEG polymers. Communications Chemistry. 3(1). 124–124. 56 indexed citations
5.
6.
Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie. 131(17). 5660–5664. 3 indexed citations
7.
Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie International Edition. 58(17). 5604–5608. 16 indexed citations
8.
Jacobs, Timothy M., Benfeard Williams, Tishan Williams, et al.. (2016). Design of structurally distinct proteins using strategies inspired by evolution. Science. 352(6286). 687–690. 105 indexed citations
9.
Jacobs, Timothy M.. (2016). Stochastic Analysis of a Churn-Tolerant Structured Peer-to-Peer Scheme. 6 indexed citations
10.
Kuhlman, Brian, et al.. (2016). Computational Design of Protein Linkers. Methods in molecular biology. 1414. 341–351. 2 indexed citations
11.
Mulvaney, Kathleen M., Jacob P. Matson, Priscila F. Siesser, et al.. (2016). Identification and Characterization of MCM3 as a Kelch-like ECH-associated Protein 1 (KEAP1) Substrate. Journal of Biological Chemistry. 291(45). 23719–23733. 65 indexed citations
12.
Harrison, Joseph S., Timothy M. Jacobs, Kevin Houlihan, Koenraad Van Doorslaer, & Brian Kuhlman. (2015). Data in support of UbSRD: The Ubiquitin Structural Relational Database. Data in Brief. 5. 605–615. 3 indexed citations
13.
Harrison, Joseph S., Timothy M. Jacobs, Kevin Houlihan, Koenraad Van Doorslaer, & Brian Kuhlman. (2015). UbSRD: The Ubiquitin Structural Relational Database. Journal of Molecular Biology. 428(4). 679–687. 16 indexed citations
14.
Sevy, Alexander M., Timothy M. Jacobs, James E. Crowe, & Jens Meiler. (2015). Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences. PLoS Computational Biology. 11(7). e1004300–e1004300. 26 indexed citations
15.
Ruhsam, Markus, Timothy M. Jacobs, Keith J. Watson, & Peter M. Hollingsworth. (2014). Is hybridisation a threat to Rumex aquaticus in Britain?. Plant Ecology & Diversity. 8(4). 465–474. 4 indexed citations
16.
Jacobs, Timothy M., Hayretin Yumerefendi, Brian Kuhlman, & Andrew Leaver‐Fay. (2014). SwiftLib: rapid degenerate-codon-library optimization through dynamic programming. Nucleic Acids Research. 43(5). e34–e34. 43 indexed citations
17.
Ho, John Chi Wang, Timothy M. Jacobs, Yajun Wang, & Frederick C. Leung. (2012). Identification and characterization of the chicken galanin receptor GalR2 and a novel GalR2-like receptor (GalR2-L). General and Comparative Endocrinology. 179(2). 305–312. 13 indexed citations
18.
Jacobs, Timothy M., et al.. (2010). TRAP binding to the Bacillus subtilis trp leader region RNA causes efficient transcription termination at a weak intrinsic terminator. Nucleic Acids Research. 39(6). 2092–2102. 14 indexed citations
19.
Roosmalen, Mark H. van, et al.. (2006). A New HBsAg Screening Assay Designed for Sensitive Detection of HBsAg Subtypes and Variants. Intervirology. 49(3). 127–132. 12 indexed citations
20.
Jacobs, Timothy M.. (1991). An Object-Oriented Database Implementation of the Magic VLSI Layout Design System. Defense Technical Information Center (DTIC).

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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