M. Miller

23 total papers · 699 total citations
17 papers, 530 citations indexed

About

M. Miller is a scholar working on Epidemiology, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, M. Miller has authored 17 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Obstetrics and Gynecology and 5 papers in Oncology. Recurrent topics in M. Miller's work include Cervical Cancer and HPV Research (9 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Global Cancer Incidence and Screening (4 papers). M. Miller is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Global Cancer Incidence and Screening (4 papers). M. Miller collaborates with scholars based in United States and United Kingdom. M. Miller's co-authors include George F. Sawaya, Robert A. Hiatt, Hai‐Yen Sung, Walter Kinney, Kathleen A. Kearney, Paula Braveman, Susan Egerter, Jeanne S. Mandelblatt, RA Hiatt and Alan J. Moskowitz and has published in prestigious journals such as New England Journal of Medicine, JAMA and Cancer.

In The Last Decade

M. Miller

13 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Miller 328 203 130 126 114 17 530
James Nuovo 187 0.6× 113 0.6× 54 0.4× 82 0.7× 79 0.7× 30 537
Edward W. Savage 241 0.7× 148 0.7× 71 0.5× 121 1.0× 30 0.3× 16 487
Adrienne Cheung 413 1.3× 84 0.4× 54 0.4× 63 0.5× 33 0.3× 11 592
Catherine Regan 337 1.0× 200 1.0× 59 0.5× 91 0.7× 30 0.3× 19 537
Wondimu Ayele 279 0.9× 254 1.3× 68 0.5× 66 0.5× 39 0.3× 40 596
Sarah Dilley 249 0.8× 208 1.0× 180 1.4× 45 0.4× 45 0.4× 31 582
John E. Gunning 199 0.6× 153 0.8× 68 0.5× 69 0.5× 42 0.4× 16 592
Sungching Glenn 180 0.5× 157 0.8× 49 0.4× 78 0.6× 20 0.2× 20 538
Sefonias Getachew 221 0.7× 261 1.3× 28 0.2× 48 0.4× 43 0.4× 36 456
Thuy Nhu Thai 130 0.4× 115 0.6× 50 0.4× 29 0.2× 29 0.3× 27 448

Countries citing papers authored by M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Miller

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

All Works

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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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