Roland Matthews

974 total citations
42 papers, 732 citations indexed

About

Roland Matthews is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Roland Matthews has authored 42 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Roland Matthews's work include Cervical Cancer and HPV Research (13 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Global Cancer Incidence and Screening (6 papers). Roland Matthews is often cited by papers focused on Cervical Cancer and HPV Research (13 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Global Cancer Incidence and Screening (6 papers). Roland Matthews collaborates with scholars based in United States, Canada and United Kingdom. Roland Matthews's co-authors include Winston E. Thompson, O.W. Stephanie Yap, Kelwyn Thomas, Wei Xu, Indrajit Chowdhury, Kevin Holcomb, Moshood Olatinwo, Mitchell Maiman, Rachel G. Fruchter and Jonathan K. Stiles and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Roland Matthews

40 papers receiving 713 citations

Peers

Roland Matthews
Comparison fields: 5 of 82
  • Molecular Biology 269
  • Epidemiology 187
  • Obstetrics and Gynecology 179
  • Oncology 162
  • Reproductive Medicine 156
Replace Yoo‐Kyung Lee with:
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Ann‐Cathrin Hellström Sweden
Lingmin Hu China
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Ismael D.C.G. Silva Brazil
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Yoo‐Kyung Lee South Korea View profile →
Citations per field, relative to Roland Matthews
Roland Matthews · 1×
Citations per year, relative to Roland Matthews
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Countries citing papers authored by Roland Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Roland Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Matthews. A scholar is included among the top collaborators of Roland Matthews 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 Roland Matthews. Roland Matthews 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 3
6 11
7 3
8 29
9 44
10 59
11 30
12
Body mass index as a prognostic factor in endometrioid adenocarcinoma of the endometrium.
42
13 20
14 31
15 17
16 24
17 27
18 89
19 6
20 7

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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