J. Robert Coleman

1.9k total citations
21 papers, 1.3k citations indexed

About

J. Robert Coleman is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, J. Robert Coleman has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in J. Robert Coleman's work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (6 papers) and vaccines and immunoinformatics approaches (6 papers). J. Robert Coleman is often cited by papers focused on Respiratory viral infections research (9 papers), Influenza Virus Research Studies (6 papers) and vaccines and immunoinformatics approaches (6 papers). J. Robert Coleman collaborates with scholars based in United States and Italy. J. Robert Coleman's co-authors include Steffen Mueller, Eckard Wimmer, Dimitris Papamichail, Steven Skiena, Bruce Futcher, Charles B. Ward, Anjaruwee S. Nimnual, Anna Kushnir, Sybil Tasker and Charles B. Stauft and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

J. Robert Coleman

21 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Robert Coleman United States 12 684 486 350 249 192 21 1.3k
Dimitris Papamichail United States 8 659 1.0× 333 0.7× 232 0.7× 230 0.9× 156 0.8× 17 1.2k
R. Burke Squires United States 8 506 0.7× 551 1.1× 382 1.1× 140 0.6× 182 0.9× 10 1.2k
Jian-hua Zhou China 22 524 0.8× 178 0.4× 240 0.7× 283 1.1× 201 1.0× 66 1.1k
Alexander P. Gultyaev Netherlands 26 907 1.3× 430 0.9× 257 0.7× 268 1.1× 322 1.7× 47 1.6k
Gonzalo Moratorio Uruguay 21 365 0.5× 522 1.1× 248 0.7× 153 0.6× 102 0.5× 51 1.2k
Nancy Beerens Netherlands 24 688 1.0× 852 1.8× 831 2.4× 150 0.6× 227 1.2× 60 1.8k
Pavel Iša Mexico 20 315 0.5× 936 1.9× 318 0.9× 304 1.2× 416 2.2× 42 1.4k
Selene Zárate Mexico 18 293 0.4× 837 1.7× 215 0.6× 224 0.9× 326 1.7× 32 1.3k
Olga Blinkova United States 9 417 0.6× 781 1.6× 285 0.8× 273 1.1× 447 2.3× 10 1.5k
Andrés Wigdorovitz Argentina 26 946 1.4× 535 1.1× 101 0.3× 440 1.8× 222 1.2× 79 1.9k

Countries citing papers authored by J. Robert Coleman

Since Specialization
Citations

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

Fields of papers citing papers by J. Robert Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Robert Coleman. 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 J. Robert Coleman. The network helps show where J. Robert Coleman may publish in the future.

Co-authorship network of co-authors of J. Robert Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of J. Robert Coleman. A scholar is included among the top collaborators of J. Robert Coleman 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 J. Robert Coleman. J. Robert Coleman 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.
Saul, Sirle, Jin Dai, Sonja R. Surman, et al.. (2024). Human parainfluenza virus 3 vaccine candidates attenuated by codon-pair deoptimization are immunogenic and protective in hamsters. Proceedings of the National Academy of Sciences. 121(25). e2316376121–e2316376121. 2 indexed citations
2.
Stawowczyk, Marcin, James Rodríguez, Nusrat Jahan, et al.. (2023). Abstract PD2-04: Preclinical development of CodaLytic™, a codon-modified influenza virus, as a novel virotherapeutic agent for breast cancer immunotherapy. Cancer Research. 83(5_Supplement). PD2–4. 1 indexed citations
3.
Wang, Ying, Chen Yang, Yutong Song, et al.. (2021). Scalable live-attenuated SARS-CoV-2 vaccine candidate demonstrates preclinical safety and efficacy. Proceedings of the National Academy of Sciences. 118(29). 106 indexed citations
4.
5.
Mueller, Steffen, Charles B. Stauft, Raj Kalkeri, et al.. (2020). A codon-pair deoptimized live-attenuated vaccine against respiratory syncytial virus is immunogenic and efficacious in non-human primates. Vaccine. 38(14). 2943–2948. 40 indexed citations
6.
Stauft, Charles B., Chen Yang, J. Robert Coleman, et al.. (2019). Live-attenuated H1N1 influenza vaccine candidate displays potent efficacy in mice and ferrets. PLoS ONE. 14(10). e0223784–e0223784. 23 indexed citations
7.
Nouën, Cyril Le, Ursula J. Buchholz, Raj Kalkeri, et al.. (2019). 2777. Live-Attenuated Vaccine Against RSV Generates Robust Cellular and Humoral Immune Responses. Open Forum Infectious Diseases. 6(Supplement_2). S980–S980. 1 indexed citations
8.
Kaplan, Bryan S., Carine K. Souza, Phillip C. Gauger, et al.. (2018). Vaccination of pigs with a codon-pair bias de-optimized live attenuated influenza vaccine protects from homologous challenge. Vaccine. 36(8). 1101–1107. 13 indexed citations
9.
10.
Stauft, Charles B., et al.. (2014). Tailoring the Immune Response via Customization of Pathogen Gene Expression. SHILAP Revista de lepidopterología. 2014. 1–7. 3 indexed citations
11.
Gohil, Shruti K., et al.. (2011). Antibodies to Streptococcus pneumoniae Capsular Polysaccharide Enhance Pneumococcal Quorum Sensing. mBio. 2(5). 27 indexed citations
12.
Coleman, J. Robert, et al.. (2011). Designed Reduction of Streptococcus pneumoniae Pathogenicity via Synthetic Changes in Virulence Factor Codon-pair Bias. The Journal of Infectious Diseases. 203(9). 1264–1273. 30 indexed citations
13.
Mueller, Steffen, J. Robert Coleman, Dimitris Papamichail, et al.. (2010). Live attenuated influenza virus vaccines by computer-aided rational design. Nature Biotechnology. 28(7). 723–726. 200 indexed citations
14.
Mueller, Steffen, J. Robert Coleman, & Eckard Wimmer. (2009). Putting Synthesis into Biology: A Viral View of Genetic Engineering through De Novo Gene and Genome Synthesis. Chemistry & Biology. 16(3). 337–347. 33 indexed citations
15.
Hurwitz, Julia L., Timothy Lockey, Bart G. Jones, et al.. (2008). First phase I clinical trial of an HIV-1 subtype D gp140 envelope protein vaccine: immune activity induced in all study participants. AIDS. 22(1). 149–151. 7 indexed citations
16.
Coleman, J. Robert, Dimitris Papamichail, Steven Skiena, et al.. (2008). Virus Attenuation by Genome-Scale Changes in Codon Pair Bias. Science. 320(5884). 1784–1787. 487 indexed citations
17.
Coleman, J. Robert. (2007). The PB1-F2 protein of Influenza A virus: increasing pathogenicity by disrupting alveolar macrophages.. Virology Journal. 4(1). 9–9. 58 indexed citations
18.
Mueller, Steffen, Dimitris Papamichail, J. Robert Coleman, Steven Skiena, & Eckard Wimmer. (2006). Reduction of the Rate of Poliovirus Protein Synthesis through Large-Scale Codon Deoptimization Causes Attenuation of Viral Virulence by Lowering Specific Infectivity. Journal of Virology. 80(19). 9687–9696. 289 indexed citations
19.
Coleman, J. Robert, et al.. (1990). High-resolution image reconstruction based on matrix inversion on a fully connected architecture. Inverse Problems. 6(3). 453–463. 2 indexed citations
20.
Coleman, J. Robert, et al.. (1990). A neural network based matrix inversion algorithm. 467–470 vol.1. 4 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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