James Inglese

19.8k citations
192 papers · 13.8k · 8 hit papers · h-index 59

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling
    • Ion channel regulation and function
    • bioluminescence and chemiluminescence research

Papers in

    • Receptor Mechanisms and Signaling 39
    • bioluminescence and chemiluminescence research 19
    • Protein Kinase Regulation and GTPase Signaling 16
    • Biochemical and Molecular Research 12
    • Computational Drug Discovery Methods 35

James Inglese

188 papers receiving 13.4k citations

James Inglese's Hit Papers

Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries 2006 · 623 citations
6230+11+22Years since publication200400600

Peers

James Inglese
Comparison fields: 5 of 172
  • Cellular and Molecular Neuroscience 2.9k
  • Molecular Biology 9.9k
  • Computational Theory and Mathematics 1.8k
  • Biophysics 487
  • Cell Biology 964
Replace Craig J. Thomas with:
Craig J. Thomas United States
Marc A. Martı́-Renom Spain
Edward A. Sausville United States
Walter Kölch Ireland
Akhilesh Pandey United States
Harvey R. Herschman United States
Thomas D.Y. Chung United States
Elmar Krieger Netherlands
Nathanael S. Gray United States
Kevan M. Shokat United States
James Inglese relative to Craig J. Thomas United States Craig J. Thomas's profile →
Citations per field
00.5×3.9×
Craig J. Thomas · 1×
Citations per year

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-authors

The 25 scholars most cited alongside James Inglese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Inglese Line = papers co-authored together James Inglese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries
Hit paper breakdown →
2006623
2
Role of βγ Subunits of G Proteins in Targeting the β-Adrenergic Receptor Kinase to Membrane-Bound Receptors
Hit paper breakdown →
1992605
3 2007473
4
Protein kinases that phosphorylate activated G protein‐coupled receptors
Hit paper breakdown →
1995456
5
The binding site for the beta gamma subunits of heterotrimeric G proteins on the beta-adrenergic receptor kinase.
Hit paper breakdown →
1993415
6
Binding of G protein beta gamma-subunits to pleckstrin homology domains.
Hit paper breakdown →
1994413
7
Activation of the cloned muscarinic potassium channel by G protein βγ subunits
Hit paper breakdown →
1994403
8
Structure and mechanism of the G protein-coupled receptor kinases.
Hit paper breakdown →
1993398
9
Cellular expression of the carboxyl terminus of a G protein-coupled receptor kinase attenuates G beta gamma-mediated signaling.
Hit paper breakdown →
1994376
10 2010323
11 2007277
12 1992258
13 1995243
14 1995240
15 2010230
16 2008210
17 2008200
18 2007196
19 2009188
20 2011181

About James Inglese

James Inglese is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Immunology and Oncology, having authored 192 papers that have together received 13.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (39 papers), Computational Drug Discovery Methods (35 papers), bioluminescence and chemiluminescence research (19 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Biochemical and Molecular Research (12 papers), Cell Image Analysis Techniques (11 papers), Photoreceptor and optogenetics research (10 papers) and Neurobiology and Insect Physiology Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Molecular Biology (9.9k citations), Computational Theory and Mathematics (1.8k citations), Biophysics (487 citations) and Cell Biology (964 citations). James Inglese has collaborated with scholars based in United States, France and Japan. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Assay and Drug Development Technologies, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Analytical Biochemistry.

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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