Huw Colin‐York

1.8k total citations
31 papers, 1.1k citations indexed

About

Huw Colin‐York is a scholar working on Cell Biology, Biophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Huw Colin‐York has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 16 papers in Biophysics and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Huw Colin‐York's work include Cellular Mechanics and Interactions (17 papers), Advanced Fluorescence Microscopy Techniques (16 papers) and Force Microscopy Techniques and Applications (11 papers). Huw Colin‐York is often cited by papers focused on Cellular Mechanics and Interactions (17 papers), Advanced Fluorescence Microscopy Techniques (16 papers) and Force Microscopy Techniques and Applications (11 papers). Huw Colin‐York collaborates with scholars based in United Kingdom, United States and China. Huw Colin‐York's co-authors include Marco Fritzsche, Christian Eggeling, Emad Moeendarbary, Kseniya Korobchevskaya, James H. Felce, Veronica T. Chang, Eric Betzig, B. Christoffer Lagerholm, Yousef Javanmardi and Simon J. Davis and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Nano Letters.

In The Last Decade

Huw Colin‐York

31 papers receiving 1.1k citations

Peers

Huw Colin‐York

AMPO

BIOPH

Joshua M. Brockman United States

Koen van den Dries Netherlands

Greg M. Allen United States

Alexandre F. Carisey United States

Franziska Lautenschläger Germany

Chii Jou Chan Germany

Gert‐Jan Bakker Netherlands

Lining Arnold Ju Australia

Aurelia Raducanu Germany

Chenghao Ge China

Joshua M. Brockman United States

Huw Colin‐York

290 ×0.6

342 ×1.3

243 ×0.9

224 ×1.0

AMPO

71 ×0.3

BIOPH

Citations per year, relative to Huw Colin‐York Huw Colin‐York (= 1×) peers Joshua M. Brockman

Countries citing papers authored by Huw Colin‐York

Since Specialization

Citations

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

Fields of papers citing papers by Huw Colin‐York

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huw Colin‐York. 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 Huw Colin‐York. The network helps show where Huw Colin‐York may publish in the future.

Co-authorship network of co-authors of Huw Colin‐York

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

All Works

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20 of 20 papers shown

Gea‐Mallorquí, Ester, Huw Colin‐York, Marco Fritzsche, et al.. (2023). Intracellular trafficking of HLA-E and its regulation. The Journal of Experimental Medicine. 220(8). 18 indexed citations

Colin‐York, Huw, et al.. (2023). Quantifying Immune Cell Force Generation Using Traction Force Microscopy. Methods in molecular biology. 2654. 363–373. 3 indexed citations

Li, Di, Huw Colin‐York, Yousef Javanmardi, et al.. (2021). Astigmatic traction force microscopy (aTFM). Nature Communications. 12(1). 2168–2168. 46 indexed citations

Colin‐York, Huw, Kseniya Korobchevskaya, Di Li, et al.. (2021). Two-dimensional TIRF-SIM–traction force microscopy (2D TIRF-SIM-TFM). Nature Communications. 12(1). 2169–2169. 40 indexed citations

Schneider, Falk, Huw Colin‐York, & Marco Fritzsche. (2021). Quantitative Bio-Imaging Tools to Dissect the Interplay of Membrane and Cytoskeletal Actin Dynamics in Immune Cells. Frontiers in Immunology. 11. 612542–612542. 6 indexed citations

Layton, T. B., Lynn Williams, Fiona E. McCann, et al.. (2020). Cellular census of human fibrosis defines functionally distinct stromal cell types and states. Nature Communications. 11(1). 2768–2768. 36 indexed citations

Michaels, Yale S., Mike Bogetofte Barnkob, Mary Kay Thompson, et al.. (2019). Addendum: Precise tuning of gene expression levels in mammalian cells. Nature Communications. 10(1). 2622–2622. 1 indexed citations

Kumari, Sudha, Huw Colin‐York, Darrell J. Irvine, & Marco Fritzsche. (2019). Not All T Cell Synapses Are Built the Same Way. Trends in Immunology. 40(11). 977–980. 20 indexed citations

Colin‐York, Huw, Yousef Javanmardi, Sudha Kumari, et al.. (2019). Cytoskeletal Control of Antigen-Dependent T Cell Activation. Cell Reports. 26(12). 3369–3379.e5. 71 indexed citations

10.

Colin‐York, Huw, Dong Li, Kseniya Korobchevskaya, et al.. (2019). Cytoskeletal actin patterns shape mast cell activation. Communications Biology. 2(1). 93–93. 30 indexed citations

11.

Izadi, David, T. B. Layton, Lynn Williams, et al.. (2019). Identification of TNFR2 and IL-33 as therapeutic targets in localized fibrosis. Science Advances. 5(12). eaay0370–eaay0370. 25 indexed citations

12.

Michaels, Yale S., Mike Bogetofte Barnkob, Mary Kay Thompson, et al.. (2019). Precise tuning of gene expression levels in mammalian cells. Nature Communications. 10(1). 818–818. 40 indexed citations

13.

Hamid, Megat Abd, Huw Colin‐York, Nasullah Khalid Alham, et al.. (2019). Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses. Cancer Immunology Research. 8(2). 203–216. 27 indexed citations

14.

Gutowska‐Owsiak, Danuta, Jorge Bernardino de la Serna, Marco Fritzsche, et al.. (2018). Orchestrated control of filaggrin–actin scaffolds underpins cornification. Cell Death and Disease. 9(4). 412–412. 36 indexed citations

15.

Fritzsche, Marco, Di Li, Huw Colin‐York, et al.. (2017). Self-organizing actin patterns shape membrane architecture but not cell mechanics. Nature Communications. 8(1). 14347–14347. 94 indexed citations

16.

Colin‐York, Huw, et al.. (2017). CalQuo 2 : Automated Fourier-space, population-level quantification of global intracellular calcium responses. Scientific Reports. 7(1). 5416–5416. 10 indexed citations

17.

Clausen, Mathias P., Huw Colin‐York, Falk Schneider, Christian Eggeling, & Marco Fritzsche. (2017). Dissecting the actin cortex density and membrane-cortex distance in living cells by super-resolution microscopy. Journal of Physics D Applied Physics. 50(6). 64002–64002. 46 indexed citations

18.

Colin‐York, Huw, Christian Eggeling, & Marco Fritzsche. (2017). Dissection of mechanical force in living cells by super-resolved traction force microscopy. Nature Protocols. 12(4). 783–796. 60 indexed citations

19.

Fritzsche, Marco, Ricardo A. Fernandes, Veronica T. Chang, et al.. (2017). Cytoskeletal actin dynamics shape a ramifying actin network underpinning immunological synapse formation. Science Advances. 3(6). e1603032–e1603032. 129 indexed citations

20.

Fritzsche, Marco, Ricardo A. Fernandes, Huw Colin‐York, et al.. (2015). CalQuo: automated, simultaneous single-cell and population-level quantification of global intracellular Ca2+ responses. Scientific Reports. 5(1). 16487–16487. 10 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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