James Conley

1.3k total citations
18 papers, 683 citations indexed

About

James Conley is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, James Conley has authored 18 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Immunology. Recurrent topics in James Conley's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). James Conley is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). James Conley collaborates with scholars based in United States, India and Germany. James Conley's co-authors include Paul H. Yancey, Leslie J. Berg, Michael P. Gallagher, Robert J. Unwin, James A. McCormick, Ewout J. Hoorn, Sebastian Bachmann, Alexander J. Howie, Chao-Ling Yang and Alexander Paliege and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Immunology.

In The Last Decade

James Conley

18 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Conley United States 10 281 145 100 91 62 18 683
Isabelle Pellerin France 21 780 2.8× 140 1.0× 46 0.5× 94 1.0× 21 0.3× 38 1.4k
Ryan M. Pelis United States 18 279 1.0× 60 0.4× 34 0.3× 335 3.7× 33 0.5× 39 1.0k
Márcia Trapp Brazil 12 79 0.3× 119 0.8× 42 0.4× 60 0.7× 12 0.2× 22 685
Jurgen Heymann United States 11 585 2.1× 60 0.4× 25 0.3× 62 0.7× 21 0.3× 17 929
Akinori Okumura Japan 22 842 3.0× 118 0.8× 33 0.3× 82 0.9× 25 0.4× 52 1.3k
Shoji Saito Japan 17 363 1.3× 127 0.9× 32 0.3× 241 2.6× 11 0.2× 123 1.0k
Yiming Yang China 15 203 0.7× 180 1.2× 35 0.3× 101 1.1× 7 0.1× 42 641
Hao Zhu United States 20 705 2.5× 57 0.4× 106 1.1× 65 0.7× 34 0.5× 39 1.4k
Gerald Soslau United States 19 351 1.2× 75 0.5× 86 0.9× 75 0.8× 21 0.3× 58 1.2k
Ryszard Pawłowski Poland 20 465 1.7× 61 0.4× 200 2.0× 28 0.3× 96 1.5× 56 1.1k

Countries citing papers authored by James Conley

Since Specialization
Citations

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

Fields of papers citing papers by James Conley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Conley

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

All Works

18 of 18 papers shown
1.
Punkosdy, George A., Jill Cavanaugh, Collin M. Bantle, et al.. (2023). Abstract 1646: IK-930, a paralog-selective TEAD inhibitor for treating YAP/TAZ-TEAD dependent cancers. Cancer Research. 83(7_Supplement). 1646–1646. 8 indexed citations
2.
Perrenoud, Loni, James Conley, & Leslie J. Berg. (2022). Analysis of T-cell Receptor-Induced Calcium Influx in Primary Murine T-cells by Full Spectrum Flow Cytometry. Journal of Visualized Experiments. 1 indexed citations
3.
Gallagher, Michael P., et al.. (2021). Hierarchy of signaling thresholds downstream of the T cell receptor and the Tec kinase ITK. Proceedings of the National Academy of Sciences. 118(35). 31 indexed citations
4.
Nasr, Samih H., James Conley, & Samar M. Said. (2021). Light chain crystalline podocytopathy. Kidney International. 100(3). 713–713. 1 indexed citations
5.
Conley, James, Michael P. Gallagher, Anjana Rao, & Leslie J. Berg. (2020). Activation of the Tec Kinase ITK Controls Graded IRF4 Expression in Response to Variations in TCR Signal Strength. The Journal of Immunology. 205(2). 335–345. 20 indexed citations
6.
Conley, James & Leslie J. Berg. (2019). TCR signaling: it’s all about the numbers. Nature Immunology. 20(11). 1415–1416. 3 indexed citations
7.
Gallagher, Michael P., James Conley, & Leslie J. Berg. (2018). Peptide Antigen Concentration Modulates Digital NFAT1 Activation in Primary Mouse Naive CD8+ T Cells as Measured by Flow Cytometry of Isolated Cell Nuclei. ImmunoHorizons. 2(7). 208–215. 18 indexed citations
8.
Andreotti, Amy H., R Joseph, James Conley, Janet Iwasa, & Leslie J. Berg. (2018). Multidomain Control Over TEC Kinase Activation State Tunes the T Cell Response. Annual Review of Immunology. 36(1). 549–578. 22 indexed citations
9.
Conley, James, Michael P. Gallagher, & Leslie J. Berg. (2016). T Cells and Gene Regulation: The Switching On and Turning Up of Genes after T Cell Receptor Stimulation in CD8 T Cells. Frontiers in Immunology. 7. 76–76. 58 indexed citations
10.
Nayar, Ribhu, Sonal Jangalwe, Laurie L. Kenney, et al.. (2015). IRF4 Regulates the Ratio of T-Bet to Eomesodermin in CD8+ T Cells Responding to Persistent LCMV Infection. PLoS ONE. 10(12). e0144826–e0144826. 14 indexed citations
11.
Tibbitts, Thomas T., Jennifer Proctor, James Conley, et al.. (2014). Impact of the Smoothened Inhibitor, IPI-926, on Smoothened Ciliary Localization and Hedgehog Pathway Activity. PLoS ONE. 9(3). e90534–e90534. 13 indexed citations
12.
Brophy, Erin, James Conley, Patrick J. O’Hearn, et al.. (2013). Abstract 1891: Pharmacological target validation studies of fatty acid synthase in carcinoma using the potent, selective and orally bioavailable inhibitor IPI-9119.. Cancer Research. 73(8_Supplement). 1891–1891. 5 indexed citations
13.
Hoorn, Ewout J., Stephen B. Walsh, James A. McCormick, et al.. (2011). The calcineurin inhibitor tacrolimus activates the renal sodium chloride cotransporter to cause hypertension. Nature Medicine. 17(10). 1304–1309. 275 indexed citations
14.
Conley, James, et al.. (2010). Do statins delay the incidence of ESRD in diabetic patients with moderate CKD?. Journal of Nephrology. 23(3). 321–327. 2 indexed citations
15.
Yancey, Paul H., et al.. (2002). Unusual organic osmolytes in deep-sea animals: adaptations to hydrostatic pressure and other perturbants. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 133(3). 667–676. 174 indexed citations
16.
Warrior, Prem, et al.. (1999). Commercial development and introduction of DiTeraTM, a new nematicide. Pesticide Science. 55(3). 376–379. 27 indexed citations
17.
Warrior, Prem, et al.. (1999). Commercial development and introduction of DiTeraTM, a new nematicide. Pesticide Science. 55(3). 376–379. 2 indexed citations
18.
Mann, Jay D., et al.. (1967). SIMILARITY BETWEEN PHYTOKININS AND HERBICIDAL PHENYLURETHANES<xref ref-type="fn" rid="fn1"><sup>1</sup></xref>. Plant and Cell Physiology. 9 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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