Phillip A. Patten

2.6k total citations
19 papers, 2.1k citations indexed

About

Phillip A. Patten is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Phillip A. Patten has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Phillip A. Patten's work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (6 papers) and Protein purification and stability (5 papers). Phillip A. Patten is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (6 papers) and Protein purification and stability (5 papers). Phillip A. Patten collaborates with scholars based in United States, Australia and Austria. Phillip A. Patten's co-authors include Peter G. Schultz, Raymond C. Stevens, Gary J. Wedemayer, Mark M. Davis, Yueh‐hsiu Chien, Leo H. Wang, Edwin P. Rock, John F. Elliott, Takashi Yokota and Ken‐ichi Arai and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Phillip A. Patten

19 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip A. Patten United States 14 1.2k 933 850 175 153 19 2.1k
Miro Venturi Germany 17 1.4k 1.2× 564 0.6× 604 0.7× 209 1.2× 244 1.6× 24 2.5k
L. Wyns Belgium 14 1.1k 1.0× 895 1.0× 324 0.4× 106 0.6× 39 0.3× 31 1.7k
Adam W. Barb United States 25 1.7k 1.4× 1.1k 1.1× 724 0.9× 139 0.8× 143 0.9× 75 2.3k
Christophe Briand Switzerland 20 1.9k 1.7× 433 0.5× 412 0.5× 550 3.1× 42 0.3× 29 2.6k
T T Wu United States 20 1.3k 1.1× 520 0.6× 297 0.3× 54 0.3× 62 0.4× 35 1.8k
Marc C. Deller United States 14 828 0.7× 327 0.4× 328 0.4× 84 0.5× 70 0.5× 18 1.5k
L. Jeanne Perry United States 21 1.2k 1.0× 277 0.3× 142 0.2× 110 0.6× 52 0.3× 28 1.7k
Maurice H. J. Selman Netherlands 24 2.1k 1.8× 1.6k 1.8× 1.2k 1.5× 72 0.4× 151 1.0× 29 2.9k
M F Mescher United States 25 859 0.7× 457 0.5× 1.2k 1.4× 209 1.2× 44 0.3× 56 2.0k
Janendra K. Batra India 25 1.2k 1.1× 521 0.6× 825 1.0× 496 2.8× 85 0.6× 88 2.3k

Countries citing papers authored by Phillip A. Patten

Since Specialization
Citations

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

Fields of papers citing papers by Phillip A. Patten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip A. Patten. 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 Phillip A. Patten. The network helps show where Phillip A. Patten may publish in the future.

Co-authorship network of co-authors of Phillip A. Patten

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

All Works

19 of 19 papers shown
1.
Cavett, V., Fred R. Ward, Kim F. McClure, et al.. (2024). Activity-Based DNA-Encoded Library Screening for Selective Inhibitors of Eukaryotic Translation. ACS Central Science. 10(10). 1960–1968. 3 indexed citations
2.
Brideau-Andersen, Amy, et al.. (2006). 10 Directed evolution of novel gene shuffled interferon alphas for the treatment of hepatitis C. Journal of Hepatology. 44. S6–S7. 2 indexed citations
3.
Castle, Linda A., Daniel L. Siehl, Rebecca Gorton, et al.. (2004). Discovery and Directed Evolution of a Glyphosate Tolerance Gene. Science. 304(5674). 1151–1154. 246 indexed citations
4.
Bukowski, Ronald M., et al.. (2003). New and modified interferon alfas: Preclinical and clinical data. Current Oncology Reports. 5(2). 108–113. 19 indexed citations
5.
Govindarajan, Sridhar, et al.. (2001). Advances in directed protein evolution by recursive genetic recombination: applications to therapeutic proteins. Current Opinion in Biotechnology. 12(4). 361–370. 79 indexed citations
6.
Chang, Chia-Chun, Brett Cox, Glenn Dawes, et al.. (1999). Evolution of a cytokine using DNA family shuffling. Nature Biotechnology. 17(8). 793–797. 104 indexed citations
7.
Wedemayer, Gary J., Leo H. Wang, Phillip A. Patten, Peter G. Schultz, & Raymond C. Stevens. (1997). Crystal structures of the free and liganded form of an esterolytic catalytic antibody 1 1Edited by I. A. Wilson. Journal of Molecular Biology. 268(2). 390–400. 42 indexed citations
8.
Patten, Phillip A., et al.. (1997). Applications of DNA shuffling to pharmaceuticals and vaccines. Current Opinion in Biotechnology. 8(6). 724–733. 128 indexed citations
9.
Wedemayer, Gary J., Phillip A. Patten, Leo H. Wang, Peter G. Schultz, & Raymond C. Stevens. (1997). Structural Insights into the Evolution of an Antibody Combining Site. Science. 276(5319). 1665–1669. 453 indexed citations
10.
Patten, Phillip A., Toyooki Sonoda, & Mark M. Davis. (1996). Directed evolution studies with combinatorial libraries of T4 lysozyme mutants. Molecular Diversity. 1(2). 97–108. 4 indexed citations
11.
Stevens, Raymond C., Linda C. Hsieh‐Wilson, Bernard D. Santarsiero, et al.. (1996). Structural Studies of Catalytic Antibodies. Israel Journal of Chemistry. 36(2). 121–132. 4 indexed citations
12.
Patten, Phillip A., Nathanael S. Gray, Priscilla L. Yang, et al.. (1996). The Immunological Evolution of Catalysis. Science. 271(5252). 1086–1091. 183 indexed citations
13.
Ulrich, Helle D., Phillip A. Patten, Yang Pan, Floyd E. Romesberg, & Peter G. Schultz. (1995). Expression studies of catalytic antibodies.. Proceedings of the National Academy of Sciences. 92(25). 11907–11911. 70 indexed citations
14.
Patten, Phillip A., Edwin P. Rock, Toyooki Sonoda, et al.. (1993). Transfer of putative complementarity-determining region loops of T cell receptor V domains confers toxin reactivity but not peptide/MHC specificity. The Journal of Immunology. 150(6). 2281–2294. 81 indexed citations
15.
Lesley, Scott A., Phillip A. Patten, & Peter G. Schultz. (1993). A genetic approach to the generation of antibodies with enhanced catalytic activities.. Proceedings of the National Academy of Sciences. 90(4). 1160–1165. 40 indexed citations
16.
Davis, Mark M., Yueh‐hsiu Chien, Pamela J. Björkman, et al.. (1989). A possible basis for major histocompatibility complex-restricted T-cell recognition. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 323(1217). 521–524. 4 indexed citations
17.
Elliott, John F., Edwin P. Rock, Phillip A. Patten, Mark M. Davis, & Yueh‐hsiu Chien. (1988). The adult T-cell receptor 5-chain is diverse and distinct from that of fetal thymocytes. Nature. 331(6157). 627–631. 279 indexed citations
18.
Becker, Daniel M., Phillip A. Patten, Yueh‐hsiu Chien, et al.. (1985). Variability and repertoire size of T-cell receptor Vα gene segments. Nature. 317(6036). 430–434. 117 indexed citations
19.
Patten, Phillip A., Takashi Yokota, Jonathan B. Rothbard, et al.. (1984). Structure, expression and divergence of T-cell receptor β-chain variable regions. Nature. 312(5989). 40–46. 205 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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