M Miller

703 total citations · 1 hit paper
11 papers, 531 citations indexed

About

M Miller is a scholar working on Surgery, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Miller has authored 11 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in General Health Professions and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Miller's work include Esophageal and GI Pathology (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Healthcare Policy and Management (1 paper). M Miller is often cited by papers focused on Esophageal and GI Pathology (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Healthcare Policy and Management (1 paper). M Miller collaborates with scholars based in United States, Poland and Netherlands. M Miller's co-authors include Eric J. Feuer, Chung Yin Kong, Chin Hur, Michelle Dunn, Emily C. Dowling, Carla P. Bezold, Reginald Tucker‐Seeley, Sherrie Flynt Wallington, Peter James and Jane C. Weeks and has published in prestigious journals such as Cancer, Cancer Epidemiology Biomarkers & Prevention and Medical Decision Making.

In The Last Decade

M Miller

11 papers receiving 512 citations

Hit Papers

Trends in esophageal adenocarcinoma incidence and mortality 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Miller United States 6 380 273 93 88 61 11 531
Margreet van Putten Netherlands 13 311 0.8× 343 1.3× 69 0.7× 140 1.6× 24 0.4× 25 496
Jae-Moon Bae South Korea 7 102 0.3× 213 0.8× 112 1.2× 69 0.8× 33 0.5× 9 315
Emil ter Veer Netherlands 13 215 0.6× 320 1.2× 82 0.9× 178 2.0× 31 0.5× 24 481
Felicitas Lenz Germany 6 135 0.4× 161 0.6× 26 0.3× 196 2.2× 51 0.8× 8 421
Karol Rawicz‐Pruszyński Poland 13 258 0.7× 246 0.9× 83 0.9× 184 2.1× 94 1.5× 65 576
Jenn Hian Koo Australia 9 179 0.5× 82 0.3× 132 1.4× 205 2.3× 29 0.5× 16 430
Willemieke P.M. Dijksterhuis Netherlands 12 199 0.5× 215 0.8× 32 0.3× 171 1.9× 28 0.5× 30 463
Marie‐Line Garcia‐Larnicol France 10 210 0.6× 245 0.9× 89 1.0× 298 3.4× 25 0.4× 24 520
Seung Soo Lee South Korea 12 194 0.5× 305 1.1× 60 0.6× 129 1.5× 38 0.6× 28 437
Ondřej Ngo Czechia 6 152 0.4× 195 0.7× 55 0.6× 485 5.5× 98 1.6× 31 674

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

11 of 11 papers shown
1.
Tucker‐Seeley, Reginald, Carla P. Bezold, Peter James, M Miller, & Sherrie Flynt Wallington. (2016). Retail Pharmacy Policy to End the Sale of Tobacco Products: What Is the Impact on Disparity in Neighborhood Density of Tobacco Outlets?. Cancer Epidemiology Biomarkers & Prevention. 25(9). 1305–1310. 23 indexed citations
2.
Tramontano, Angela C., Jennifer Malin, M Miller, et al.. (2015). Catalog and Comparison of Societal Preferences (Utilities) for Lung Cancer Health States. Medical Decision Making. 35(3). 371–387. 29 indexed citations
3.
Kong, Chung Yin, Sonja Kroep, Kit Curtius, et al.. (2014). Exploring the Recent Trend in Esophageal Adenocarcinoma Incidence and Mortality Using Comparative Simulation Modeling. Cancer Epidemiology Biomarkers & Prevention. 23(6). 997–1006. 50 indexed citations
4.
Hur, Chin, M Miller, Chung Yin Kong, et al.. (2012). Trends in esophageal adenocarcinoma incidence and mortality. Cancer. 119(6). 1149–1158. 376 indexed citations breakdown →
6.
Muir, Lindsay, et al.. (2003). 1206 Using handheld computers to support patients receiving outpatient chemotherapy. European Journal of Cancer Supplements. 1(5). S368–S369. 6 indexed citations
7.
Miller, M, et al.. (1996). [Effect of selected socio-economic factors on incidence and outcome of tuberculosis in Poland].. PubMed. 64(5-6). 253–60. 1 indexed citations
8.
Miller, M, et al.. (1995). [Characterization of patients with treatment failure in the Central Tuberculosis Registry].. PubMed. 63(1-2). 21–6. 1 indexed citations
9.
Miller, M, et al.. (1959). Changing nature of state hospital populations.. PubMed. 20. 530–4. 3 indexed citations
10.
Miller, M, et al.. (1956). C14 studies in carbohydrate metabolism. II. The oxidation of glucose in diabetic human subjects.. PubMed. 5(1). 22–34. 38 indexed citations
11.
Miller, M, et al.. (1955). The metabolism of C14-glucose in normal and diabetic subjects.. PubMed. 68. 199–204. 3 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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