Remko Prevo

7.9k total citations · 2 hit papers
34 papers, 5.8k citations indexed

About

Remko Prevo is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Remko Prevo has authored 34 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 23 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Remko Prevo's work include Lymphatic System and Diseases (12 papers), DNA Repair Mechanisms (8 papers) and Angiogenesis and VEGF in Cancer (7 papers). Remko Prevo is often cited by papers focused on Lymphatic System and Diseases (12 papers), DNA Repair Mechanisms (8 papers) and Angiogenesis and VEGF in Cancer (7 papers). Remko Prevo collaborates with scholars based in United Kingdom, United States and Finland. Remko Prevo's co-authors include David G. Jackson, Suneale Banerji, Steven Clasper, Kari Alitalo, Michael Detmar, Lucia Riccardi, Kevin P. Claffey, Thomas Hawighorst, Mihaela Skobe and Lauren Janes and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Remko Prevo

34 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Induction of tumor lymphangiogenesis by VEGF-C promotes breast cancer metastasis

2001 1.4k citations David G. Jackson, Remko Prevo et al. profile →
VEGF-D promotes the metastatic spread of tumor cells via the lymphatics

2001 993 citations Remko Prevo, David G. Jackson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Remko Prevo United Kingdom	25	4.1k	3.7k	1.0k	729	676	34	5.8k
Mihaela Skobe United States	36	4.5k 1.1×	3.8k 1.0×	1.2k 1.2×	1.2k 1.7×	911 1.3×	44	7.0k
Brian P. Sorrentino United States	44	3.7k 0.9×	5.4k 1.4×	700 0.7×	635 0.9×	306 0.5×	108	8.6k
Tanja Veikkola Finland	17	2.3k 0.6×	2.5k 0.7×	655 0.7×	642 0.9×	560 0.8×	18	3.8k
Andrea T. Hooper United States	32	2.6k 0.6×	2.8k 0.8×	298 0.3×	1.2k 1.6×	218 0.3×	56	5.8k
Lone Rønnov‐Jessen Denmark	27	2.9k 0.7×	2.4k 0.7×	423 0.4×	1.1k 1.5×	142 0.2×	44	5.1k
Susan B. Olson United States	37	1.1k 0.3×	4.1k 1.1×	1.2k 1.2×	1.2k 1.7×	190 0.3×	112	6.5k
Brett M. Hall United States	22	2.1k 0.5×	2.0k 0.5×	528 0.5×	1.0k 1.4×	209 0.3×	43	4.7k
Jarno Drost Netherlands	24	2.8k 0.7×	4.1k 1.1×	609 0.6×	2.3k 3.2×	175 0.3×	61	7.1k
Robert Sackstein United States	48	1.8k 0.4×	2.4k 0.6×	1.2k 1.2×	552 0.8×	224 0.3×	150	7.5k
Christina Scheel Germany	25	2.9k 0.7×	2.7k 0.7×	246 0.2×	1.4k 1.9×	242 0.4×	61	4.9k

Countries citing papers authored by Remko Prevo

Since Specialization

Citations

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

Fields of papers citing papers by Remko Prevo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remko Prevo

This figure shows the co-authorship network connecting the top 25 collaborators of Remko Prevo. A scholar is included among the top collaborators of Remko Prevo 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 Remko Prevo. Remko Prevo 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

Rodríguez‐Berriguete, Gonzalo, Rathi Puliyadi, Alessandro Barberis, et al.. (2024). Antitumour effect of the mitochondrial complex III inhibitor Atovaquone in combination with anti-PD-L1 therapy in mouse cancer models. Cell Death and Disease. 15(1). 32–32. 13 indexed citations

Herbert, Katharine, Rathi Puliyadi, Remko Prevo, et al.. (2020). Targeting TOPK sensitises tumour cells to radiation-induced damage by enhancing replication stress. Cell Death and Differentiation. 28(4). 1333–1346. 16 indexed citations

Puliyadi, Rathi, Remko Prevo, Gonzalo Rodríguez‐Berriguete, et al.. (2020). External Beam Radiation Therapy and Enadenotucirev: Inhibition of the DDR and Mechanisms of Radiation-Mediated Virus Increase. Cancers. 12(4). 798–798. 15 indexed citations

Coates, James T., Gonzalo Rodríguez‐Berriguete, Rathi Puliyadi, et al.. (2020). The anti-malarial drug atovaquone potentiates platinum-mediated cancer cell death by increasing oxidative stress. Cell Death Discovery. 6(1). 110–110. 18 indexed citations

Prevo, Remko, Giacomo Pirovano, Rathi Puliyadi, et al.. (2018). CDK1 inhibition sensitizes normal cells to DNA damage in a cell cycle dependent manner. Cell Cycle. 17(12). 1513–1523. 54 indexed citations

Herbert, Katharine, Thomas M. Ashton, Remko Prevo, Giacomo Pirovano, & Geoff S. Higgins. (2018). T-LAK cell-originated protein kinase (TOPK): an emerging target for cancer-specific therapeutics. Cell Death and Disease. 9(11). 1089–1089. 60 indexed citations

Pirovano, Giacomo, Thomas M. Ashton, Katharine Herbert, et al.. (2017). TOPK modulates tumour-specific radiosensitivity and correlates with recurrence after prostate radiotherapy. British Journal of Cancer. 117(4). 503–512. 22 indexed citations

Prevo, Remko, Emmanouil Fokas, Philip M. Reaper, et al.. (2012). The novel ATR inhibitor VE-821 increases sensitivity of pancreatic cancer cells to radiation and chemotherapy. Cancer Biology & Therapy. 13(11). 1072–1081. 191 indexed citations

Nicolay, Nils H., Rebecca Carter, Stephanie B. Hatch, et al.. (2012). Homologous recombination mediates S-phase-dependent radioresistance in cells deficient in DNA polymerase eta. Carcinogenesis. 33(11). 2026–2034. 10 indexed citations

10.

Fokas, Emmanouil, Michio Yoshimura, Remko Prevo, et al.. (2012). NVP-BEZ235 and NVP-BGT226, dual phosphatidylinositol 3-kinase/mammalian target of rapamycin inhibitors, enhance tumor and endothelial cell radiosensitivity. Radiation Oncology. 7(1). 48–48. 69 indexed citations

11.

Higgins, Geoff S., Remko Prevo, Yin-Fai Lee, et al.. (2010). A Small Interfering RNA Screen of Genes Involved in DNA Repair Identifies Tumor-Specific Radiosensitization by POLQ Knockdown. Cancer Research. 70(7). 2984–2993. 100 indexed citations

12.

Jansen, E.N.H., et al.. (2009). Primary cerebellar nocardiosis and alveolar proteinosis. Acta Neurologica Scandinavica. 97(2). 138–141. 18 indexed citations

13.

Prevo, Remko, Éric Deutsch, Oliver Sampson, et al.. (2008). Class I PI3 Kinase Inhibition by the Pyridinylfuranopyrimidine Inhibitor PI-103 Enhances Tumor Radiosensitivity. Cancer Research. 68(14). 5915–5923. 106 indexed citations

14.

Johnson, Louise A., Remko Prevo, Steven Clasper, & David G. Jackson. (2007). Inflammation-induced Uptake and Degradation of the Lymphatic Endothelial Hyaluronan Receptor LYVE-1. Journal of Biological Chemistry. 282(46). 33671–33680. 128 indexed citations

15.

Manzo, Antonio, Serena Bugatti, Roberto Caporali, et al.. (2007). CCL21 Expression Pattern of Human Secondary Lymphoid Organ Stroma Is Conserved in Inflammatory Lesions with Lymphoid Neogenesis. American Journal Of Pathology. 171(5). 1549–1562. 75 indexed citations

16.

Prevo, Remko, Suneale Banerji, Jian Ni, & David G. Jackson. (2004). Rapid Plasma Membrane-Endosomal Trafficking of the Lymph Node Sinus and High Endothelial Venule Scavenger Receptor/Homing Receptor Stabilin-1 (Feel-1/Clever-1). Journal of Biological Chemistry. 279(50). 52580–52592. 76 indexed citations

17.

Engering, Anneke, Sandra J. van Vliet, Konnie M. Hebeda, et al.. (2004). Dynamic Populations of Dendritic Cell-Specific ICAM-3 Grabbing Nonintegrin-Positive Immature Dendritic Cells and Liver/Lymph Node-Specific ICAM-3 Grabbing Nonintegrin-Positive Endothelial Cells in the Outer Zones of the Paracortex of Human Lymph Nodes. American Journal Of Pathology. 164(5). 1587–1595. 75 indexed citations

18.

Leek, Russell, Alistair Robson, Suneale Banerji, et al.. (2003). Absence of lymphangiogenesis and intratumoural lymph vessels in human metastatic breast cancer. The Journal of Pathology. 200(2). 195–206. 173 indexed citations

19.

Jackson, David G., Remko Prevo, Steven Clasper, & Suneale Banerji. (2001). LYVE-1, the lymphatic system and tumor lymphangiogenesis. Trends in Immunology. 22(6). 317–321. 278 indexed citations

20.

Voort, Robbert van der, Taher E.I. Taher, Marcel Spaargaren, et al.. (1999). Heparan Sulfate-modified CD44 Promotes Hepatocyte Growth Factor/Scatter Factor-induced Signal Transduction through the Receptor Tyrosine Kinase c-Met. Journal of Biological Chemistry. 274(10). 6499–6506. 192 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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