Cleo L. Bishop

5.1k total citations
36 papers, 1.2k citations indexed

About

Cleo L. Bishop is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Cleo L. Bishop has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Immunology. Recurrent topics in Cleo L. Bishop's work include Telomeres, Telomerase, and Senescence (10 papers), MicroRNA in disease regulation (5 papers) and Epigenetics and DNA Methylation (5 papers). Cleo L. Bishop is often cited by papers focused on Telomeres, Telomerase, and Senescence (10 papers), MicroRNA in disease regulation (5 papers) and Epigenetics and DNA Methylation (5 papers). Cleo L. Bishop collaborates with scholars based in United Kingdom, United States and Italy. Cleo L. Bishop's co-authors include David Beach, Viola Borgdorff, Marita Overhoff, Eleanor J. Tyler, Delphine Fessart, Martha R. Stampfer, James C. Garbe, Anke Nijhuis, Andrew Silver and Matilde E. Lleonart and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Cleo L. Bishop

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cleo L. Bishop United Kingdom 18 671 306 276 203 174 36 1.2k
Alla Pritsker United States 13 460 0.7× 237 0.8× 147 0.5× 334 1.6× 125 0.7× 18 1.3k
Warren Kaplan Australia 26 931 1.4× 281 0.9× 125 0.5× 445 2.2× 211 1.2× 39 1.8k
Ekkehart Lausch Germany 24 1.2k 1.8× 230 0.8× 325 1.2× 148 0.7× 415 2.4× 64 2.0k
Orla Cunningham United States 19 614 0.9× 224 0.7× 157 0.6× 176 0.9× 41 0.2× 36 1.3k
Anna Karin Nilsson Sweden 15 508 0.8× 91 0.3× 114 0.4× 149 0.7× 131 0.8× 28 840
Sha Tian United States 16 682 1.0× 243 0.8× 136 0.5× 428 2.1× 64 0.4× 31 1.4k
Paul Kroeger United States 18 1.1k 1.6× 328 1.1× 76 0.3× 242 1.2× 185 1.1× 29 1.5k
Michael Teufel Germany 12 475 0.7× 246 0.8× 268 1.0× 65 0.3× 54 0.3× 37 1.2k
Chia-Lung Tsai Taiwan 21 844 1.3× 272 0.9× 53 0.2× 145 0.7× 143 0.8× 73 1.5k
Hubert Stöppler United States 18 701 1.0× 325 1.1× 136 0.5× 121 0.6× 111 0.6× 31 1.3k

Countries citing papers authored by Cleo L. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Cleo L. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cleo L. Bishop. 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 Cleo L. Bishop. The network helps show where Cleo L. Bishop may publish in the future.

Co-authorship network of co-authors of Cleo L. Bishop

This figure shows the co-authorship network connecting the top 25 collaborators of Cleo L. Bishop. A scholar is included among the top collaborators of Cleo L. Bishop 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 Cleo L. Bishop. Cleo L. Bishop 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
2.
O'Sullivan, E, et al.. (2024). The paradox of senescent-marker positive cancer cells: challenges and opportunities. PubMed. 10(1). 41–41. 12 indexed citations
3.
Tyler, Eleanor J., Simone Ecker, James C. Garbe, et al.. (2024). An expedited screening platform for the discovery of anti-ageing compounds in vitro and in vivo. Genome Medicine. 16(1). 85–85. 4 indexed citations
4.
Bishop, Cleo L., et al.. (2023). Yearning for machine learning: applications for the classification and characterisation of senescence. Cell and Tissue Research. 394(1). 1–16. 14 indexed citations
5.
Truong, Tuyen Ngoc, et al.. (2023). Phytochemistry and Cytotoxic Activity of Aquilaria crassna Pericarp on MDA-MB-468 Cell Lines. ACS Omega. 8(45). 42356–42366. 3 indexed citations
6.
Tyler, Eleanor J., Ana Gutierrez del Arroyo, James C. Garbe, et al.. (2021). Early growth response 2 (EGR2) is a novel regulator of the senescence programme. Aging Cell. 20(3). e13318–e13318. 22 indexed citations
7.
Gammon, Luke, Joanne Chin‐Aleong, Joanne E. Martin, et al.. (2021). Expression of p16 Within Myenteric Neurons of the Aged Colon: A Potential Marker of Declining Function. Frontiers in Neuroscience. 15. 747067–747067. 19 indexed citations
8.
Tyler, Eleanor J., et al.. (2020). Tissue engineering to better understand senescence: Organotypics come of age. Mechanisms of Ageing and Development. 190. 111261–111261. 6 indexed citations
9.
Bishop, Cleo L., et al.. (2020). The bright and dark side of extracellular vesicles in the senescence-associated secretory phenotype. Mechanisms of Ageing and Development. 189. 111263–111263. 66 indexed citations
10.
Nijhuis, Anke, Renata Curciarello, Shameer Mehta, et al.. (2017). MCL-1 is modulated in Crohn’s disease fibrosis by miR-29b via IL-6 and IL-8. Cell and Tissue Research. 368(2). 325–335. 30 indexed citations
11.
Lewis, Amy, Shameer Mehta, Rosemary Jeffery, et al.. (2015). Low Serum Levels of MicroRNA-19 Are Associated with a Stricturing Crohnʼs Disease Phenotype. Inflammatory Bowel Diseases. 21(8). 1926–1934. 52 indexed citations
12.
Lowe, Robert, Marita Overhoff, Sreeram V Ramagopalan, et al.. (2015). The senescent methylome and its relationship with cancer, ageing and germline genetic variation in humans. Genome biology. 16(1). 194–194. 25 indexed citations
13.
Nijhuis, Anke, Paolo Biancheri, Amy Lewis, et al.. (2014). In Crohn's disease fibrosis-reduced expression of the miR-29 family enhances collagen expression in intestinal fibroblasts. Clinical Science. 127(5). 341–350. 86 indexed citations
14.
Liu, Li, Nidia M. M. Oliveira, Kelly M. Cheney, et al.. (2011). A whole genome screen for HIV restriction factors. Retrovirology. 8(1). 94–94. 106 indexed citations
15.
Bishop, Cleo L., Delphine Fessart, Viola Borgdorff, et al.. (2010). Primary Cilium-Dependent and -Independent Hedgehog Signaling Inhibits p16INK4A. Molecular Cell. 40(4). 533–547. 43 indexed citations
16.
Borgdorff, Viola, Matilde E. Lleonart, Cleo L. Bishop, et al.. (2010). Multiple microRNAs rescue from Ras-induced senescence by inhibiting p21Waf1/Cip1. Oncogene. 29(15). 2262–2271. 128 indexed citations
17.
Bishop, Cleo L., Elena Baena–González, Eva–Mari Aro, et al.. (2007). The PsbZ subunit of Photosystem II in Synechocystis sp. PCC 6803 modulates electron flow through the photosynthetic electron transfer chain. Photosynthesis Research. 93(1-3). 139–147. 12 indexed citations
18.
Bishop, Cleo L., et al.. (2006). Role for Centromeric Heterochromatin and PML Nuclear Bodies in the Cellular Response to Foreign DNA. Molecular and Cellular Biology. 26(7). 2583–2594. 29 indexed citations
19.
Bishop, Cleo L., Peter Démant, & P J Capel. (1980). The Blocking Effect of Antibodies Against the Products of the H‐2 Gene Complex on Lymphocyte Complement (C3d) Receptors. Complement Dependence and Specificity. Tissue Antigens. 15(1). 31–39. 3 indexed citations
20.
PARIS, A. M. I., Cleo L. Bishop, H. Festenstein, & E. Günther. (1978). NON-MAJOR HISTOCOMPATIBILITY SYSTEM IMMUNOGENETIC INFLUENCES IN RAT RENAL ALLOGRAFT SURVIVAL. Transplantation. 25(5). 252–254. 3 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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