Douglas N. Midthune

7.0k total citations · 1 hit paper
15 papers, 5.4k citations indexed

About

Douglas N. Midthune is a scholar working on Oncology, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Douglas N. Midthune has authored 15 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Statistics and Probability and 4 papers in Economics and Econometrics. Recurrent topics in Douglas N. Midthune's work include Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Global Cancer Incidence and Screening (4 papers). Douglas N. Midthune is often cited by papers focused on Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Global Cancer Incidence and Screening (4 papers). Douglas N. Midthune collaborates with scholars based in United States, Israel and India. Douglas N. Midthune's co-authors include Michael P. Fay, Eric J. Feuer, Hyune-Ju Kim, Hyune‐Ju Kim, Laurence S. Freedman, Carolyn K. Clifford, L. S. Freedman, Limin X. Clegg, D. Pee and Blossom H. Patterson and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Clinical Nutrition and Cancer.

In The Last Decade

Douglas N. Midthune

15 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Permutation tests for joinpoint regression with applications to cancer rates

2000 4.7k citations Hyune-Ju Kim, Michael P. Fay et al. Statistics in Medicine profile →

Peers

Douglas N. Midthune

ONCOL

EPIDE

PHEOH

SURGE

PRM

Hyune-Ju Kim United States

Kendra Schwartz United States

David Roder Australia

Freddy Sitas Australia

Wei‐Chu Chie Taiwan

Elisabetta Rapiti Switzerland

Jonathan M. Liff United States

William B. Goggins Hong Kong

Lennarth Nyström Sweden

Éric Jougla France

Hyune-Ju Kim United States

Douglas N. Midthune

1.8k ×0.9

ONCOL

1.3k ×1.0

EPIDE

710 ×0.9

PHEOH

666 ×1.0

SURGE

608 ×0.9

PRM

Citations per year, relative to Douglas N. Midthune Douglas N. Midthune (= 1×) peers Hyune-Ju Kim

Countries citing papers authored by Douglas N. Midthune

Since Specialization

Citations

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

Fields of papers citing papers by Douglas N. Midthune

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas N. Midthune. 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 Douglas N. Midthune. The network helps show where Douglas N. Midthune may publish in the future.

Co-authorship network of co-authors of Douglas N. Midthune

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

All Works

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15 of 15 papers shown

Lewis, Denise Riedel, Huann‐Sheng Chen, Myles Cockburn, et al.. (2018). Early estimates of cancer incidence for 2015: Expanding to include estimates for white and black races. Cancer. 124(10). 2192–2204. 9 indexed citations

Lewis, Denise Riedel, Huann‐Sheng Chen, Myles Cockburn, et al.. (2017). Early estimates of SEER cancer incidence, 2014. Cancer. 123(13). 2524–2534. 35 indexed citations

Lewis, Denise Riedel, Huann‐Sheng Chen, Myles Cockburn, et al.. (2016). Preliminary estimates of SEER cancer incidence for 2013. Cancer. 122(10). 1579–1587. 11 indexed citations

Lewis, Denise Riedel, Huann‐Sheng Chen, Douglas N. Midthune, et al.. (2015). Early estimates of SEER cancer incidence for 2012: Approaches, opportunities, and cautions for obtaining preliminary estimates of cancer incidence. Cancer. 121(12). 2053–2062. 15 indexed citations

Combs, Gerald F., Douglas N. Midthune, Kristine Y. Patterson, et al.. (2009). Effects of selenomethionine supplementation on selenium status and thyroid hormone concentrations in healthy adults. American Journal of Clinical Nutrition. 89(6). 1808–1814. 74 indexed citations

Midthune, Douglas N., Michael P. Fay, Limin X. Clegg, & Eric J. Feuer. (2005). Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data. Journal of the American Statistical Association. 100(469). 61–70. 57 indexed citations

McShane, Lisa M., Douglas N. Midthune, Joanne F. Dorgan, Laurence S. Freedman, & Raymond J. Carroll. (2001). Covariate Measurement Error Adjustment for Matched Case–Control Studies. Biometrics. 57(1). 62–73. 12 indexed citations

Kim, Hyune-Ju, Michael P. Fay, Eric J. Feuer, & Douglas N. Midthune. (2000). Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine. 19(3). 335–351. 4656 indexed citations breakdown →

Kim, Hyune‐Ju, Michael P. Fay, Eric J. Feuer, & Douglas N. Midthune. (2000). Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine. 19(3). 335–351. 278 indexed citations

10.

Fay, Michael P., Barry I. Graubard, L. S. Freedman, & Douglas N. Midthune. (1998). Conditional Logistic Regression with Sandwich Estimators: Application to a Meta-Analysis. Biometrics. 54(1). 195–195. 24 indexed citations

11.

Fay, Michael P., Laurence S. Freedman, Carolyn K. Clifford, & Douglas N. Midthune. (1997). Effect of different types and amounts of fat on the development of mammary tumors in rodents: a review.. PubMed. 57(18). 3979–88. 162 indexed citations

12.

Freedman, Laurence S., Douglas N. Midthune, Charles Brown, Vernon E. Steele, & Gary J. Kelloff. (1993). Statistical Analysis of Animal Cancer Chemoprevention Experiments. Biometrics. 49(1). 259–259. 9 indexed citations

13.

Freedman, Laurence S., Douglas N. Midthune, Charles Brown, Vernon E. Steele, & Gary J. Kelloff. (1993). Statistical analysis of animal cancer chemoprevention experiments.. PubMed. 49(1). 259–68. 13 indexed citations

14.

Freedman, L. S., D. Pee, & Douglas N. Midthune. (1992). The Problem of Underestimating the Residual Error Variance in Forward Stepwise Regression. Journal of the Royal Statistical Society Series D (The Statistician). 41(4). 405–405. 34 indexed citations

15.

Patterson, Blossom H., Larry G. Kessler, Yohanan Wax, et al.. (1992). Evaluation of a Supermarket Intervention. Evaluation Review. 16(5). 464–490. 16 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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