Robert P. Jenkins

3.5k total citations · 1 hit paper
21 papers, 2.1k citations indexed

About

Robert P. Jenkins is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Robert P. Jenkins has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Robert P. Jenkins's work include Cellular Mechanics and Interactions (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Immunotherapy and Immune Responses (4 papers). Robert P. Jenkins is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Immunotherapy and Immune Responses (4 papers). Robert P. Jenkins collaborates with scholars based in United Kingdom, United States and Germany. Robert P. Jenkins's co-authors include Erik Sahai, Steven Hooper, Nil Ege, Peter Williamson, A. Grande-García, Emad Moeendarbary, Guillaume Charras, Fernando Calvo, Kevin J. Harrington and Paul A. Bates and has published in prestigious journals such as Nature, Nature Materials and Nature Cell Biology.

In The Last Decade

Robert P. Jenkins

21 papers receiving 2.1k citations

Hit Papers

Mechanotransduction and YAP-dependent matrix remodelling ... 2013 2026 2017 2021 2013 250 500 750 1000

Peers

Robert P. Jenkins
Quanming Shi United States
Anne Weston United Kingdom
Bettina Weigelin Netherlands
Antonia Patsialou United States
Mariska te Lindert Netherlands
Esther N. Arwert United Kingdom
Quanming Shi United States
Robert P. Jenkins
Citations per year, relative to Robert P. Jenkins Robert P. Jenkins (= 1×) peers Quanming Shi

Countries citing papers authored by Robert P. Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Jenkins. 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 Robert P. Jenkins. The network helps show where Robert P. Jenkins may publish in the future.

Co-authorship network of co-authors of Robert P. Jenkins

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

All Works

20 of 20 papers shown
1.
Piot, Cécile, Mariana Pereira da Costa, Adi Biram, et al.. (2025). Spatial Organisation of Tumour cDC1 States Correlates with Effector and Stem‐Like CD8 + T Cells Location. European Journal of Immunology. 55(8). e70011–e70011. 1 indexed citations
2.
Kato, Takuya, Robert P. Jenkins, Stefanie Derzsi, et al.. (2023). Interplay of adherens junctions and matrix proteolysis determines the invasive pattern and growth of squamous cell carcinoma. eLife. 12. 6 indexed citations
3.
Dowbaj, Anna M., Robert P. Jenkins, John M. Heddleston, et al.. (2021). An optogenetic method for interrogating YAP1 and TAZ nuclear–cytoplasmic shuttling. Journal of Cell Science. 134(13). 13 indexed citations
4.
Cabeza-Cabrerizo, Mar, Carlos M. Minutti, Mariana Pereira da Costa, et al.. (2021). Recruitment of dendritic cell progenitors to foci of influenza A virus infection sustains immunity. Science Immunology. 6(65). eabi9331–eabi9331. 31 indexed citations
5.
Park, Danielle, David J. Barry, Robert P. Jenkins, et al.. (2021). A FIJI macro for quantifying pattern in extracellular matrix. Life Science Alliance. 4(3). e202000880–e202000880. 86 indexed citations
6.
Sahai, Erik, et al.. (2021). Parameter estimation in fluorescence recovery after photobleaching: quantitative analysis of protein binding reactions and diffusion. Journal of Mathematical Biology. 83(1). 1–1. 7 indexed citations
7.
Cabeza-Cabrerizo, Mar, Janneke van Blijswijk, Stephan Wienert, et al.. (2019). Tissue clonality of dendritic cell subsets and emergency DCpoiesis revealed by multicolor fate mapping of DC progenitors. Science Immunology. 4(33). 78 indexed citations
8.
Park, Danielle, Stefan Boeing, Anna Labernadie, et al.. (2019). Extracellular matrix anisotropy is determined by TFAP2C-dependent regulation of cell collisions. Nature Materials. 19(2). 227–238. 92 indexed citations
9.
Park, Danielle, et al.. (2019). Matrix feedback enables diverse higher-order patterning of the extracellular matrix. PLoS Computational Biology. 15(10). e1007251–e1007251. 15 indexed citations
10.
Ege, Nil, Anna M. Dowbaj, Ming Jiang, et al.. (2018). Quantitative Analysis Reveals that Actin and Src-Family Kinases Regulate Nuclear YAP1 and Its Export. Cell Systems. 6(6). 692–708.e13. 100 indexed citations
11.
Jenkins, Robert P., et al.. (2015). Stochastic Regulation of her1/7 Gene Expression Is the Source of Noise in the Zebrafish Somite Clock Counteracted by Notch Signalling. PLoS Computational Biology. 11(11). e1004459–e1004459. 11 indexed citations
12.
Acton, Sophie E., Aaron J. Farrugia, Jillian L. Astarita, et al.. (2014). Dendritic cells control fibroblastic reticular network tension and lymph node expansion. Nature. 514(7523). 498–502. 214 indexed citations
13.
Eckel‐Passow, Jeanette E., Daniel H. Lachance, Kyle M. Walsh, et al.. (2014). GE-09 * TERT PROMOTER MUTATION, IDH MUTATION AND 1p/19q CODELETION DEFINE FIVE GLIOMA MOLECULAR GROUPS WITH SPECIFIC CLINICAL CHARACTERISTICS AND GERMLINE VARIANT ASSOCIATIONS. Neuro-Oncology. 16(suppl 5). v98–v98. 4 indexed citations
14.
Calvo, Fernando, Nil Ege, A. Grande-García, et al.. (2013). Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts. Nature Cell Biology. 15(6). 637–646. 1076 indexed citations breakdown →
15.
Tozluoǧlu, Melda, Alexander Tournier, Robert P. Jenkins, et al.. (2013). Matrix geometry determines optimal cancer cell migration strategy and modulates response to interventions. Nature Cell Biology. 15(7). 751–762. 245 indexed citations
16.
Manning, Cerys, Robert P. Jenkins, Steven Hooper, et al.. (2013). Intravital imaging reveals conversion between distinct tumor vascular morphologies and localized vascular response to Sunitinib. Research Explorer (The University of Manchester). 2(1). e24790–e24790. 16 indexed citations
17.
Thomas, Christopher, David C. James, Robert P. Jenkins, et al.. (2001). Glioblastoma-related gene mutations and over-expression of functional epidermal growth factor receptors in SKMG-3 glioma cells. Acta Neuropathologica. 101(6). 605–615. 25 indexed citations
18.
Wang, Liang, John L. Darling, Jin‐San Zhang, et al.. (1998). Frequent homozygous deletions in the FRA3B region in tumor cell lines still leave the FHIT exons intact. Oncogene. 16(5). 635–642. 30 indexed citations
20.
Duncan, James R., et al.. (1993). Structural and serological specificities of Pasteurella haemolytica lipopolysaccharides. Infection and Immunity. 61(1). 170–181. 24 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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