Michael Carnell

790 total citations
17 papers, 566 citations indexed

About

Michael Carnell is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Michael Carnell has authored 17 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 7 papers in Molecular Biology and 4 papers in Immunology and Allergy. Recurrent topics in Michael Carnell's work include Cellular transport and secretion (4 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (4 papers). Michael Carnell is often cited by papers focused on Cellular transport and secretion (4 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (4 papers). Michael Carnell collaborates with scholars based in Australia, United Kingdom and Switzerland. Michael Carnell's co-authors include Robert H. Insall, Tobias Zech, Laura M. Machesky, Simon D. J. Calaminus, Seiji Ura, Jim C. Norman, Patrick T. Caswell, Heather J. Spence, Robin C. May and Monica Hagedorn and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Current Biology.

In The Last Decade

Michael Carnell

17 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Carnell Australia	13	286	270	74	59	56	17	566
Olivia L. Mooren United States	12	353 1.2×	376 1.4×	74 1.0×	52 0.9×	40 0.7×	17	712
Maria Teresa Abreu‐Blanco United States	9	319 1.1×	346 1.3×	57 0.8×	30 0.5×	47 0.8×	12	664
Daniela Holzer Germany	10	247 0.9×	241 0.9×	104 1.4×	49 0.8×	57 1.0×	14	604
Caroline Stefani France	14	153 0.5×	408 1.5×	140 1.9×	27 0.5×	51 0.9×	25	705
Damon C. Shutt United States	13	167 0.6×	172 0.6×	126 1.7×	35 0.6×	43 0.8×	15	475
Ulrike Hacker Germany	8	582 2.0×	358 1.3×	63 0.9×	152 2.6×	43 0.8×	8	763
Nele M. G. Dieckmann United Kingdom	9	184 0.6×	236 0.9×	262 3.5×	65 1.1×	112 2.0×	10	650
Sergey Mureev Australia	15	164 0.6×	511 1.9×	43 0.6×	55 0.9×	62 1.1×	19	682
Ching-Hui Liu United States	5	319 1.1×	278 1.0×	38 0.5×	22 0.4×	73 1.3×	5	586
Pierre Bourdoncle France	12	223 0.8×	342 1.3×	167 2.3×	42 0.7×	65 1.2×	21	670

Countries citing papers authored by Michael Carnell

Since Specialization

Citations

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

Fields of papers citing papers by Michael Carnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Carnell

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

All Works

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17 of 17 papers shown

Biazik, Joanna, et al.. (2024). A detailed survey of the murine limbus, its stem cell distribution, and its boundaries with the cornea and conjunctiva. Stem Cells Translational Medicine. 13(10). 1015–1027. 1 indexed citations

Park, Mijeong, Alexander Richardson, Michael Carnell, et al.. (2023). Type 2 diabetes influences intraepithelial corneal nerve parameters and corneal stromal‐epithelial nerve penetration sites. Journal of Diabetes Investigation. 14(4). 591–601. 4 indexed citations

Wang, Dejiang, Yao Wang, Xiangjun Di, et al.. (2023). Cortical tension drug screen links mitotic spindle integrity to Rho pathway. Current Biology. 33(20). 4458–4469.e4. 4 indexed citations

Park, Mijeong, et al.. (2021). Neuronal-epithelial cell alignment: A determinant of health and disease status of the cornea. The Ocular Surface. 21. 257–270. 15 indexed citations

Wong, Sharon L., Nikhil T Awatade, Michael Carnell, et al.. (2021). Molecular dynamics and functional characterization of I37R-CFTR lasso mutation provide insights into channel gating activity. iScience. 25(1). 103710–103710. 10 indexed citations

La, Ting, Song Chen, Tao Guo, et al.. (2021). Visualization of endogenous p27 and Ki67 reveals the importance of a c-Myc-driven metabolic switch in promoting survival of quiescent cancer cells. Theranostics. 11(19). 9605–9622. 26 indexed citations

Wang, Yao, Jeffrey H. Stear, Xing Xu, et al.. (2020). Drug Targeting the Actin Cytoskeleton Potentiates the Cytotoxicity of Low Dose Vincristine by Abrogating Actin-Mediated Repair of Spindle Defects. Molecular Cancer Research. 18(7). 1074–1087. 13 indexed citations

Tavassoli, Hossein, et al.. (2020). Label‐Free Isolation and Single Cell Biophysical Phenotyping Analysis of Primary Cardiomyocytes Using Inertial Microfluidics. Small. 17(8). e2006176–e2006176. 17 indexed citations

Redpath, Gregory, Michael Carnell, Daryan Kempe, et al.. (2019). Flotillins promote T cell receptor sorting through a fast Rab5–Rab11 endocytic recycling axis. Nature Communications. 10(1). 4392–4392. 30 indexed citations

10.

Compeer, Ewoud B., Felix Kraus, Gregory Redpath, et al.. (2018). A mobile endocytic network connects clathrin-independent receptor endocytosis to recycling and promotes T cell activation. Nature Communications. 9(1). 1597–1597. 49 indexed citations

11.

Dederer, Verena, et al.. (2016). SiaA/D Interconnects c-di-GMP and RsmA Signaling to Coordinate Cellular Aggregation of Pseudomonas aeruginosa in Response to Environmental Conditions. Frontiers in Microbiology. 7. 179–179. 39 indexed citations

12.

Pasquier, Eddy, et al.. (2015). γ-Actin plays a key role in endothelial cell motility and neovessel maintenance. PubMed. 7(1). 2–2. 21 indexed citations

13.

Carnell, Michael, Alex Macmillan, & Renée Whan. (2014). Fluorescence Recovery After Photobleaching (FRAP): Acquisition, Analysis, and Applications. Methods in molecular biology. 1232. 255–271. 31 indexed citations

14.

Thomason, Peter A., Tobias Zech, Jason King, et al.. (2013). Cyclical Action of the WASH Complex: FAM21 and Capping Protein Drive WASH Recycling, Not Initial Recruitment. Developmental Cell. 24(2). 169–181. 42 indexed citations

15.

Carnell, Michael, Tobias Zech, Simon D. J. Calaminus, et al.. (2011). Actin polymerization driven by WASH causes V-ATPase retrieval and vesicle neutralization before exocytosis. The Journal of Cell Biology. 193(5). 831–839. 132 indexed citations

16.

Zech, Tobias, Simon D. J. Calaminus, Patrick T. Caswell, et al.. (2011). The Arp2/3 activator WASH regulates α5β1-integrin-mediated invasive migration. Journal of Cell Science. 124(22). 3753–3759. 114 indexed citations

17.

Carnell, Michael & Robert H. Insall. (2010). Actin on disease – Studying the pathobiology of cell motility using Dictyostelium discoideum. Seminars in Cell and Developmental Biology. 22(1). 82–88. 18 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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