Paul Cairns

8.1k total citations · 1 hit paper
63 papers, 5.6k citations indexed

About

Paul Cairns is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paul Cairns has authored 63 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paul Cairns's work include Epigenetics and DNA Methylation (30 papers), Renal and related cancers (13 papers) and Cancer-related gene regulation (13 papers). Paul Cairns is often cited by papers focused on Epigenetics and DNA Methylation (30 papers), Renal and related cancers (13 papers) and Cancer-related gene regulation (13 papers). Paul Cairns collaborates with scholars based in United States, United Kingdom and Japan. Paul Cairns's co-authors include David Sidransky, Essel Dulaimi, Tahseen Al‐Saleem, Robert G. Uzzo, Banumathy Gowrishankar, Inmaculada Ibañez de Cáceres, Yolanda Eby, William B. Isaacs, Mark Schoenberg and Richard E. Greenberg and has published in prestigious journals such as Journal of Biological Chemistry, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Paul Cairns

62 papers receiving 5.5k 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.

DPC4 gene in various tumor types.

1996 570 citations Paul Cairns, David Sidransky et al. profile →

Peers

Paul Cairns

MB

ONCOL

CR

PRM

SURGE

Kenji Hibi Japan

Klaus Elenius Finland

Snjezana Doğan United States

Werner Boecker Germany

Lukas C. Heukamp Germany

Göran Stenman Sweden

Anne‐Marie Cleton-Jansen Netherlands

Jim Heighway United Kingdom

Jerzy Klijanienko France

Eva Karamitopoulou Switzerland

Kenji Hibi Japan

Paul Cairns

2.8k ×0.7

MB

1.9k ×1.2

ONCOL

1.0k ×0.7

CR

897 ×0.7

PRM

674 ×0.7

SURGE

Citations per year, relative to Paul Cairns Paul Cairns (= 1×) peers Kenji Hibi

Countries citing papers authored by Paul Cairns

Since Specialization

Citations

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

Fields of papers citing papers by Paul Cairns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Cairns

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Keebler, Joseph R., et al.. (2024). Evaluating the Effectiveness of Game-Based Virtual Reality in Satellite Ground Control Operations Education and Training. International Journal of Aviation Aeronautics and Aerospace. 11(1). 1 indexed citations

2.

Dulaimi, Essel, et al.. (2014). A global profile of gene promoter methylation in treatment-naïve urothelial cancer. Epigenetics. 9(5). 760–773. 30 indexed citations

3.

Gowrishankar, Banumathy, Yan Zhou, Michael Slifker, et al.. (2013). MicroRNA expression signatures of stage, grade, and progression in clear cell RCC. Cancer Biology & Therapy. 15(3). 329–341. 77 indexed citations

4.

Bitler, Benjamin G., Hua Li, Qi Cai, et al.. (2011). Wnt5a Suppresses Epithelial Ovarian Cancer by Promoting Cellular Senescence. Cancer Research. 71(19). 6184–6194. 85 indexed citations

5.

Li, Hua, Benjamin G. Bitler, Vinod Vathipadiekal, et al.. (2011). ALDH1A1 Is a Novel EZH2 Target Gene in Epithelial Ovarian Cancer Identified by Genome-Wide Approaches. Cancer Prevention Research. 5(3). 484–491. 44 indexed citations

6.

Cáceres, Inmaculada Ibañez de, Anna Potapova, Essel Dulaimi, et al.. (2010). Global Reactivation of Epigenetically Silenced Genes in Prostate Cancer. Cancer Prevention Research. 3(9). 1084–1092. 35 indexed citations

7.

Gowrishankar, Banumathy & Paul Cairns. (2010). Signaling pathways in renal cell carcinoma. Cancer Biology & Therapy. 10(7). 658–664. 166 indexed citations

8.

Potapova, Anna, et al.. (2008). Promoter Hypermethylation of the PALB2 Susceptibility Gene in Inherited and Sporadic Breast and Ovarian Cancer. Cancer Research. 68(4). 998–1002. 66 indexed citations

9.

Cairns, Paul. (2008). 5′-Azacytidine Expression Arrays. Methods in molecular biology. 507. 165–174. 9 indexed citations

10.

Ehrmann, Ingrid, Caroline Dalgliesh, Aikaterini Tsaousi, et al.. (2008). Haploinsufficiency of the germ cell-specific nuclear RNA binding protein hnRNP G-T prevents functional spermatogenesis in the mouse. Human Molecular Genetics. 17(18). 2803–2818. 30 indexed citations

11.

Cairns, Paul. (2007). Gene methylation and early detection of genitourinary cancer: the road ahead. Nature reviews. Cancer. 7(7). 531–543. 67 indexed citations

12.

Cáceres, Inmaculada Ibañez de, et al.. (2006). Identification of Novel Target Genes by an Epigenetic Reactivation Screen of Renal Cancer. Cancer Research. 66(10). 5021–5028. 133 indexed citations

13.

Kist, Ralf, Xiaomeng Wang, Paul Cairns, et al.. (2005). Reduction of Pax9 gene dosage in an allelic series of mouse mutants causes hypodontia and oligodontia. Human Molecular Genetics. 14(23). 3605–3617. 72 indexed citations

14.

Al‐Saleem, Tahseen, Paul Cairns, Essel Dulaimi, et al.. (2004). The genetics of renal oncocytosis: a possible modelfor neoplastic progression. Cancer Genetics and Cytogenetics. 152(1). 23–28. 40 indexed citations

15.

Abdollahi, Abbas, et al.. (2003). LOT1 (PLAGL1/ZAC1), the Candidate Tumor Suppressor Gene at Chromosome 6q24–25, Is Epigenetically Regulated in Cancer. Journal of Biological Chemistry. 278(8). 6041–6049. 88 indexed citations

16.

Sánchez‐Céspedes, Montse, Kenji Okami, Paul Cairns, & David Sidransky. (2000). Molecular analysis of the candidate tumor suppressor geneING1 in human head and neck tumors with 13q deletions. Genes Chromosomes and Cancer. 27(3). 319–322. 44 indexed citations

17.

Cairns, Paul, Ella Evron, Kenji Okami, et al.. (1998). Point mutation and homozygous deletion of PTEN/MMAC1 in primary bladder cancers. Oncogene. 16(24). 3215–3218. 146 indexed citations

18.

Halachmi, Naomi, Sarel Halachmi, Ella Evron, et al.. (1998). Somatic mutations of thePTEN tumor suppressor gene in sporadic follicular thyroid tumors. Genes Chromosomes and Cancer. 23(3). 239–243. 104 indexed citations

19.

Foster, Keith, Amanda Prowse, Anke van den Berg, et al.. (1994). Somatic mutations of the von Hippel — Lindau disease tumour suppressor gene in non-familial clear cell renal carcinoma. Human Molecular Genetics. 3(12). 2169–2173. 307 indexed citations

20.

Cairns, Paul. (1986). Crerar/Chicago Library Merger.. Library Resources and Technical Services. 30(2). 126–136. 1 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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