John‐Paul Plazzer

2.9k total citations
10 papers, 227 citations indexed

About

John‐Paul Plazzer is a scholar working on Pathology and Forensic Medicine, Genetics and Cancer Research. According to data from OpenAlex, John‐Paul Plazzer has authored 10 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in John‐Paul Plazzer's work include Genetic factors in colorectal cancer (9 papers), Cancer Genomics and Diagnostics (5 papers) and Genomics and Rare Diseases (4 papers). John‐Paul Plazzer is often cited by papers focused on Genetic factors in colorectal cancer (9 papers), Cancer Genomics and Diagnostics (5 papers) and Genomics and Rare Diseases (4 papers). John‐Paul Plazzer collaborates with scholars based in Australia, United Kingdom and United States. John‐Paul Plazzer's co-authors include Finlay Macrae, Johan T. den Dunnen, Rolf H. Sijmons, Michael O. Woods, Païvi Peltomäki, Bryony A. Thompson, Karin Verspoor, Antonio Jimeno Yepes, Asha Herten-Crabb and Lawrence Cavedon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medical Genetics.

In The Last Decade

John‐Paul Plazzer

10 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John‐Paul Plazzer Australia 6 123 96 78 66 57 10 227
Adriana Gaspar da Rocha Portugal 7 28 0.2× 74 0.8× 51 0.7× 18 0.3× 40 0.7× 12 310
Frédérique Mariette Italy 7 38 0.3× 59 0.6× 101 1.3× 62 0.9× 85 1.5× 14 203
Junjie Li China 10 24 0.2× 68 0.7× 99 1.3× 98 1.5× 19 0.3× 28 234
Richard Attanoos United Kingdom 6 96 0.8× 32 0.3× 65 0.8× 81 1.2× 12 0.2× 8 163
Hisani N. Horne United States 8 26 0.2× 95 1.0× 91 1.2× 66 1.0× 23 0.4× 11 222
Nima C. Emami United States 5 31 0.3× 131 1.4× 30 0.4× 69 1.0× 105 1.8× 7 249
Jan Czarnecki United Kingdom 3 31 0.3× 106 1.1× 34 0.4× 98 1.5× 28 0.5× 6 160
Jessada Thutkawkorapin Sweden 7 58 0.5× 65 0.7× 42 0.5× 36 0.5× 62 1.1× 18 164
De Luca Italy 7 23 0.2× 75 0.8× 17 0.2× 65 1.0× 24 0.4× 21 162
Moraima Pagan United States 5 34 0.3× 59 0.6× 35 0.4× 22 0.3× 99 1.7× 6 339

Countries citing papers authored by John‐Paul Plazzer

Since Specialization
Citations

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

Fields of papers citing papers by John‐Paul Plazzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John‐Paul Plazzer

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

All Works

10 of 10 papers shown
1.
Plazzer, John‐Paul, et al.. (2024). Phenotype Correlations With Pathogenic DNA Variants in the MUTYH Gene: A Review of Over 2000 Cases. Human Mutation. 2024(1). 8520275–8520275. 2 indexed citations
2.
Navarro, Pau, et al.. (2024). Estimating cancer risk in carriers of Lynch syndrome variants in UK Biobank. Journal of Medical Genetics. 61(9). 861–869. 8 indexed citations
3.
Jafarabadi, Mohammad Asghari, et al.. (2024). Prognostic factors and survival disparities in right-sided versus left-sided colon cancer. Scientific Reports. 14(1). 12306–12306. 12 indexed citations
4.
Plazzer, John‐Paul, et al.. (2023). Genotype–phenotype correlation of BMPR1a disease causing variants in juvenile polyposis syndrome. Hereditary Cancer in Clinical Practice. 21(1). 12–12. 5 indexed citations
5.
Plazzer, John‐Paul, et al.. (2023). SMAD4 variants and its genotype–phenotype correlations to juvenile polyposis syndrome. Hereditary Cancer in Clinical Practice. 21(1). 6 indexed citations
6.
Plazzer, John‐Paul, et al.. (2021). Evaluation of literature searching tools for curation of mismatch repair gene variants in hereditary colon cancer. SHILAP Revista de lepidopterología. 2(1). e10039–e10039. 2 indexed citations
7.
Plazzer, John‐Paul, et al.. (2017). An exploration of genotype-phenotype link between Peutz-Jeghers syndrome and STK11: a review. Familial Cancer. 17(3). 421–427. 52 indexed citations
8.
Plazzer, John‐Paul, et al.. (2016). Harmonizing the interpretation of genetic variants across the world: the Malaysian experience. BMC Research Notes. 9(1). 125–125. 3 indexed citations
9.
Verspoor, Karin, Antonio Jimeno Yepes, Lawrence Cavedon, et al.. (2013). Annotating the biomedical literature for the human variome. Database. 2013(0). bat019–bat019. 53 indexed citations
10.
Plazzer, John‐Paul, Rolf H. Sijmons, Michael O. Woods, et al.. (2013). The InSiGHT database: utilizing 100 years of insights into Lynch Syndrome. Familial Cancer. 12(2). 175–180. 84 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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