Philip C. Prorok

17.0k total citations · 1 hit paper
133 papers, 6.6k citations indexed

About

Philip C. Prorok is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Statistics and Probability. According to data from OpenAlex, Philip C. Prorok has authored 133 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oncology, 42 papers in Pulmonary and Respiratory Medicine and 23 papers in Statistics and Probability. Recurrent topics in Philip C. Prorok's work include Colorectal Cancer Screening and Detection (59 papers), Global Cancer Incidence and Screening (33 papers) and Statistical Methods in Clinical Trials (18 papers). Philip C. Prorok is often cited by papers focused on Colorectal Cancer Screening and Detection (59 papers), Global Cancer Incidence and Screening (33 papers) and Statistical Methods in Clinical Trials (18 papers). Philip C. Prorok collaborates with scholars based in United States, Canada and Malaysia. Philip C. Prorok's co-authors include John K. Gohagan, Paul F. Pinsky, Barnett S. Kramer, Richard B. Hayes, Barnett S. Kramer, Richard M. Fagerstrom, H. Gilbert Welch, A. James O’Malley, Timothy R. Church and Pamela M. Marcus and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Philip C. Prorok

130 papers receiving 6.3k citations

Hit Papers

Breast-Cancer Tumor Size, Overdiagnosis, and Mammography ... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Philip C. Prorok
Comparison fields: 5 of 153
  • Pulmonary and Respiratory Medicine 3.2k
  • Oncology 3.1k
  • Surgery 834
  • Cancer Research 813
  • Radiology, Nuclear Medicine and Imaging 785
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Citations per field, relative to Philip C. Prorok
Philip C. Prorok · 1×
Citations per year, relative to Philip C. Prorok
Philip C. Prorok · 1×

Countries citing papers authored by Philip C. Prorok

Since Specialization
Citations

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

Fields of papers citing papers by Philip C. Prorok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip C. Prorok. 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 Philip C. Prorok. The network helps show where Philip C. Prorok may publish in the future.

Co-authorship network of co-authors of Philip C. Prorok

This figure shows the co-authorship network connecting the top 25 collaborators of Philip C. Prorok. A scholar is included among the top collaborators of Philip C. Prorok 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 Philip C. Prorok. Philip C. Prorok 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 3
3 0
4 34
5 36
6 73
7 6
8 12
9 101
10 59
11 6
12 21
13 5
14 71
15 10
16 25
17 6
18 8
19 3
20 361

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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