James Inglese

19.8k total citations · 8 hit papers
192 papers, 13.8k citations indexed

About

James Inglese is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, James Inglese has authored 192 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 35 papers in Computational Theory and Mathematics and 31 papers in Cellular and Molecular Neuroscience. Recurrent topics in James Inglese's work include Receptor Mechanisms and Signaling (39 papers), Computational Drug Discovery Methods (35 papers) and bioluminescence and chemiluminescence research (19 papers). James Inglese is often cited by papers focused on Receptor Mechanisms and Signaling (39 papers), Computational Drug Discovery Methods (35 papers) and bioluminescence and chemiluminescence research (19 papers). James Inglese collaborates with scholars based in United States, France and Japan. James Inglese's co-authors include Robert J. Lefkowitz, Douglas S. Auld, Christopher P. Austin, Walter J. Koch, Anton Simeonov, Ajit Jadhav, Natasha Thorne, Richard T. Premont, Wei Zheng and Ronald L. Johnson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James Inglese

188 papers receiving 13.4k citations

Hit Papers

Quantitative high-throughput screening: A titration... 1992 2026 2003 2014 2006 1992 1995 1993 1994 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries
    2006 623 citations James Inglese, Douglas S. Auld et al. Proceedings of the National Academy of Sciences profile →
  2. Role of βγ Subunits of G Proteins in Targeting the β-Adrenergic Receptor Kinase to Membrane-Bound Receptors
    1992 605 citations James Inglese et al. profile →
  3. Protein kinases that phosphorylate activated G protein‐coupled receptors
    1995 456 citations James Inglese et al. profile →
  4. The binding site for the beta gamma subunits of heterotrimeric G proteins on the beta-adrenergic receptor kinase.
    1993 415 citations James Inglese et al. Journal of Biological Chemistry profile →
  5. Binding of G protein beta gamma-subunits to pleckstrin homology domains.
    1994 413 citations James Inglese et al. Journal of Biological Chemistry profile →
  6. Activation of the cloned muscarinic potassium channel by G protein βγ subunits
    1994 403 citations James Inglese et al. profile →
  7. Structure and mechanism of the G protein-coupled receptor kinases.
    1993 398 citations James Inglese et al. Journal of Biological Chemistry profile →
  8. Cellular expression of the carboxyl terminus of a G protein-coupled receptor kinase attenuates G beta gamma-mediated signaling.
    1994 376 citations James Inglese et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Inglese United States 59 9.9k 2.9k 1.8k 990 964 192 13.8k
Elmar Krieger Netherlands 34 7.1k 0.7× 1.4k 0.5× 934 0.5× 805 0.8× 891 0.9× 45 11.6k
Marc A. Martı́-Renom Spain 45 11.5k 1.2× 1.0k 0.4× 980 0.6× 432 0.4× 673 0.7× 123 15.4k
Craig J. Thomas United States 61 7.0k 0.7× 1.8k 0.6× 686 0.4× 1.7k 1.8× 460 0.5× 250 15.2k
Jason E. Gestwicki United States 70 10.8k 1.1× 1.1k 0.4× 1.3k 0.7× 1.8k 1.8× 2.5k 2.6× 226 14.8k
Robert Roskoski United States 57 9.9k 1.0× 1.2k 0.4× 928 0.5× 1.6k 1.6× 1.3k 1.4× 173 16.3k
Walter Kölch Ireland 81 18.9k 1.9× 1.4k 0.5× 1.3k 0.7× 805 0.8× 3.7k 3.8× 298 25.5k
Mikako Shirouzu Japan 63 11.2k 1.1× 755 0.3× 502 0.3× 577 0.6× 1.6k 1.7× 390 14.7k
Jake Y. Chen United States 48 6.4k 0.6× 1.1k 0.4× 537 0.3× 340 0.3× 742 0.8× 223 14.6k
Miguel A. Andrade‐Navarro Germany 60 11.9k 1.2× 904 0.3× 521 0.3× 184 0.2× 847 0.9× 268 15.3k
Jun O. Liu United States 64 8.9k 0.9× 849 0.3× 473 0.3× 1.3k 1.4× 1.9k 2.0× 210 14.2k

Countries citing papers authored by James Inglese

Since Specialization
Citations

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

Fields of papers citing papers by James Inglese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Inglese. 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 James Inglese. The network helps show where James Inglese may publish in the future.

Co-authorship network of co-authors of James Inglese

This figure shows the co-authorship network connecting the top 25 collaborators of James Inglese. A scholar is included among the top collaborators of James Inglese 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 James Inglese. James Inglese 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.
Dranchak, Patricia, Laurence Lamy, Yuhong Wang, et al.. (2023). In vivo quantitative high-throughput screening for drug discovery and comparative toxicology. Disease Models & Mechanisms. 16(3). 6 indexed citations
2.
Wiedmann, Mareike M., Patricia Dranchak, Mahesh Aitha, et al.. (2021). Structure–activity relationship of ipglycermide binding to phosphoglycerate mutases. Journal of Biological Chemistry. 296. 100628–100628. 6 indexed citations
3.
Auld, Douglas S., Scott Lovell, Natasha Thorne, et al.. (2010). Molecular basis for the high-affinity binding and stabilization of firefly luciferase by PTC124. Proceedings of the National Academy of Sciences. 107(11). 4878–4883. 148 indexed citations
4.
Yasgar, Adam, John Shultz, Wenhui Zhou, et al.. (2010). A High-Throughput 1,536-Well Luminescence Assay for Glutathione S-Transferase Activity. Assay and Drug Development Technologies. 8(2). 200–211. 14 indexed citations
5.
Inglese, James, Andrew D. Napper, & Douglas S. Auld. (2010). Improving Success by Balanced Critical Evaluations of Assay Methods. Assay and Drug Development Technologies. 8(4). 517C–517C. 2 indexed citations
6.
Neumann, Susanne, Wenwei Huang, Steve Titus, et al.. (2009). Small-molecule agonists for the thyrotropin receptor stimulate thyroid function in human thyrocytes and mice. Proceedings of the National Academy of Sciences. 106(30). 12471–12476. 94 indexed citations
7.
Marchand, Christophe, Wendy Lea, Ajit Jadhav, et al.. (2009). Identification of phosphotyrosine mimetic inhibitors of human tyrosyl-DNA phosphodiesterase I by a novel AlphaScreen high-throughput assay. Molecular Cancer Therapeutics. 8(1). 240–248. 68 indexed citations
8.
Shukla, Sunita J., Ðắc-Trung Nguyễn, Ryan MacArthur, et al.. (2009). Identification of Pregnane X Receptor Ligands Using Time-Resolved Fluorescence Resonance Energy Transfer and Quantitative High-Throughput Screening. Assay and Drug Development Technologies. 7(2). 143–169. 45 indexed citations
9.
Johnson, Ronald L., Ruili Huang, Ajit Jadhav, et al.. (2009). A quantitative high-throughput screen for modulators of IL-6signaling: a model for interrogating biological networks using chemical libraries. Molecular BioSystems. 5(9). 1039–1050. 11 indexed citations
10.
Xia, Menghang, Ruili Huang, Yi Sun, et al.. (2009). Identification of Chemical Compounds that Induce HIF-1α Activity. Toxicological Sciences. 112(1). 153–163. 49 indexed citations
11.
Chung, Caroline, Kenji Ohwaki, Jonathan E. Schneeweis, et al.. (2008). A Fluorescence-Based Thiol Quantification Assay for Ultra-High-Throughput Screening for Inhibitors of Coenzyme A Production. Assay and Drug Development Technologies. 6(3). 361–374. 37 indexed citations
12.
Michael, Sam, Douglas S. Auld, Ajit Jadhav, et al.. (2008). A Robotic Platform for Quantitative High-Throughput Screening. Assay and Drug Development Technologies. 6(5). 637–657. 108 indexed citations
13.
Lea, Wendy, Ajit Jadhav, Ganesha Rai, et al.. (2008). A 1,536-Well-Based Kinetic HTS Assay for Inhibitors of Schistosoma mansoni Thioredoxin Glutathione Reductase. Assay and Drug Development Technologies. 6(4). 551–555. 16 indexed citations
14.
Simeonov, Anton, Adam Yasgar, Wei Zheng, et al.. (2007). Evaluation of Micro-Parallel Liquid Chromatography as a Method for HTS-Coupled Actives Verification. Assay and Drug Development Technologies. 5(6). 815–824. 4 indexed citations
15.
Davis, R. Eric, Ya‐Qin Zhang, Noel Southall, et al.. (2007). A Cell-Based Assay for I κ B α Stabilization Using A Two-Color Dual Luciferase-Based Sensor. Assay and Drug Development Technologies. 5(1). 85–104. 21 indexed citations
16.
Inglese, James, Ronald L. Johnson, Anton Simeonov, et al.. (2007). High-throughput screening assays for the identification of chemical probes. Nature Chemical Biology. 3(8). 466–479. 473 indexed citations
17.
Inglese, James, Douglas S. Auld, Ajit Jadhav, et al.. (2006). Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries. Proceedings of the National Academy of Sciences. 103(31). 11473–11478. 623 indexed citations breakdown →
18.
Weber, Michael J., Marc Ferrer, Wei Zheng, et al.. (2004). A 1,536-Well cAMP Assay for Gs- and Gi-Coupled Receptors Using Enzyme Fragmentation Complementation. Assay and Drug Development Technologies. 2(1). 39–49. 24 indexed citations
19.
Peekhaus, Norbert, Marc Ferrer, Oleg Kornienko, et al.. (2003). A β -Lactamase-Dependent Gal4-Estrogen Receptor β Transactivation Assay for the Ultra-High Throughput Screening of Estrogen Receptor β Agonists in a 3,456-Well Format. Assay and Drug Development Technologies. 1(6). 789–800. 26 indexed citations
20.
Ferrer, Marc, Paul Zuck, Suzanne Mandala, et al.. (2003). A Fully Automated [ 35 S]GTPγS Scintillation Proximity Assay for the High-Throughput Screening of G i -Linked G Protein-Coupled Receptors. Assay and Drug Development Technologies. 1(2). 261–273. 33 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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