Kevin Thurley

2.4k total citations
25 papers, 1.4k citations indexed

About

Kevin Thurley is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kevin Thurley has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Immunology and 4 papers in Oncology. Recurrent topics in Kevin Thurley's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Gene Regulatory Network Analysis (6 papers). Kevin Thurley is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Gene Regulatory Network Analysis (6 papers). Kevin Thurley collaborates with scholars based in Germany, United States and United Kingdom. Kevin Thurley's co-authors include Martin Falcke, Lani F. Wu, Steven J. Altschuler, Thomas Höfer, Pål O. Westermark, Michael Floßdorf, Alexander Scheffold, Maurus de la Rosa, Dorothea Busse and Alexander Skupin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biophysical Journal.

In The Last Decade

Kevin Thurley

24 papers receiving 1.3k citations

Peers

Countries citing papers authored by Kevin Thurley

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Thurley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Thurley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Activation and maturation of antigen-specific B cells in nonectopic lung infiltrates are independent of germinal center reactions in the draining lymph node 2025 ·Cellular and Molecular Immunology ·(unknown), (unknown), Pawel Durek, (unknown), (unknown), (unknown), Mir‐Farzin Mashreghi, Kevin Thurley, Laura Bauer, Andreas Hutloff	2
2	Expression of the large amino acid transporter SLC7A5/LAT1 on immune cells is enhanced in primary sclerosing cholangitis-associated cholangiocarcinoma and correlates with poor prognosis in cholangiocarcinoma 2024 ·Human Pathology ·Vittorio Branchi, (unknown), (unknown), Susanna S. Ng, (unknown), (unknown), (unknown), (unknown), Leona Dold, Bettina Langhans, Maria A. González-Carmona, Saskia Ting, Glen Kristiansen, Jörg C. Kalff, Kevin Thurley, (unknown), Hanno Matthaei, Marieta Toma	1
3	P502 Multimodal profiling of peripheral blood identifies proliferating circulating effector CD4 T cells as predictors for response to integrin alpha4 beta7-blocking therapy in patients with Inflammatory Bowel Disease 2024 ·Journal of Crohn s and Colitis ·(unknown), (unknown), (unknown), Benedikt Obermayer, Klaus Fritz, Britta Siegmund, Kevin Thurley, Ahmed N. Hegazy	0
4	Diffusion-limited cytokine signaling in T cell populations 2024 ·iScience ·Patrick M. Brunner, (unknown), Lisa Li, Kevin Thurley	3
5	Untangling cell–cell communication networks and on-treatment response in immunotherapy 2024 ·Current Opinion in Systems Biology ·(unknown), Niklas Klümper, Tobias Bald, Kevin Thurley	1
6	508MO Spatial remodeling of the immune tumor microenvironment after radiotherapy and CXCL12 inhibition in glioblastoma in the phase I/II GLORIA trial 2023 ·Annals of Oncology ·(unknown), Julian Philipp Layer, (unknown), (unknown), (unknown), Dillon Corvino, Christina Schaub, William J. Muller, Elena Sperk, Leonard Christopher Schmeel, (unknown), Sied Kebir, (unknown), Torsten Pietsch, Kevin Thurley, Martin Glas, Clemens Seidel, Ulrich Herrlinger, Frank A. Giordano, (unknown)	1
7	Distribution modeling quantifies collective T _H cell decision circuits in chronic inflammation 2023 ·Science Advances ·(unknown), Kevin Thurley	3
8	Dissecting the dynamic transcriptional landscape of early T helper cell differentiation into Th1, Th2, and Th1/2 hybrid cells 2022 ·Frontiers in Immunology ·(unknown), Caroline Peine, Z Borek, (unknown), Michael Floßdorf, Ahmed N. Hegazy, Thomas Höfer, Max Löhning, Kevin Thurley	17
9	Modeling Cell-to-Cell Communication Networks Using Response-Time Distributions 2018 ·Cell Systems ·Kevin Thurley, Lani F. Wu, Steven J. Altschuler	44
10	Membrane Tension Acts Through PLD2 and mTORC2 to Limit Actin Network Assembly During Neutrophil Migration 2016 ·PLoS Biology ·Alba Diz-Muñoz, Kevin Thurley, (unknown), Steven J. Altschuler, Lani F. Wu, Daniel A. Fletcher, Orion D. Weiner	143
11	Diverse drug-resistance mechanisms can emerge from drug-tolerant cancer persister cells 2016 ·Nature Communications ·Michael E. Ramirez, Satwik Rajaram, Robert J. Steininger, (unknown), Maike Roth, Leanna S. Morinishi, Louise Evans, Weiyue Ji, (unknown), Kevin Thurley, Shuguang Wei, Anwu Zhou, Prasad Koduru, Bruce A. Posner, Lani F. Wu, Steven J. Altschuler	362
12	Three-Dimensional Gradients of Cytokine Signaling between T Cells 2015 ·PLoS Computational Biology ·Kevin Thurley, (unknown), (unknown), Thomas Höfer	58
13	Reliable Encoding of Stimulus Intensities Within Random Sequences of Intracellular Ca ²⁺ Spikes 2014 ·Science Signaling ·Kevin Thurley, Stephen C. Tovey, (unknown), (unknown), Abha Meena, Andrew P. Thomas, Alexander Skupin, Colin W. Taylor, Martin Falcke	88
14	Rhythmic Degradation Explains and Unifies Circadian Transcriptome and Proteome Data 2014 ·Cell Reports ·Sarah Lück, Kevin Thurley, P.F. Thaben, Pål O. Westermark	122
15	Calcium Signaling: From Single Channels to Pathways 2012 ·Advances in experimental medicine and biology ·Alexander Skupin, Kevin Thurley	14
16	Timescales of IP3-Evoked Ca2+ Spikes Emerge from Ca2+ Puffs Only at the Cellular Level 2011 ·Biophysical Journal ·Kevin Thurley, Ian F. Smith, Stephen C. Tovey, Colin W. Taylor, Ian Parker, Martin Falcke	41
17	Fundamental properties of Ca2+ signals 2011 ·Biochimica et Biophysica Acta (BBA) - General Subjects ·Kevin Thurley, Alexander Skupin, Rüdiger Thul, Martin Falcke	61
18	Derivation of Ca ²⁺ signals from puff properties reveals that pathway function is robust against cell variability but sensitive for control 2010 ·Proceedings of the National Academy of Sciences ·Kevin Thurley, Martin Falcke	44
19	Toward a predictive model of Ca2+ puffs 2009 ·Chaos An Interdisciplinary Journal of Nonlinear Science ·(unknown), Kevin Thurley, Martin Falcke	26
20	Mitochondrial energetic metabolism: A simplified model of TCA cycle with ATP production 2008 ·Journal of Theoretical Biology ·Christine Nazaret, Margit Heiske, Kevin Thurley, Jean‐Pierre Mazat	54

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.

Explore authors with similar magnitude of impact