Douglas Midthune

12.0k total citations · 6 hit papers
71 papers, 9.1k citations indexed

About

Douglas Midthune is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Statistics and Probability. According to data from OpenAlex, Douglas Midthune has authored 71 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Public Health, Environmental and Occupational Health, 20 papers in Physiology and 14 papers in Statistics and Probability. Recurrent topics in Douglas Midthune's work include Nutritional Studies and Diet (56 papers), Obesity, Physical Activity, Diet (35 papers) and Consumer Attitudes and Food Labeling (25 papers). Douglas Midthune is often cited by papers focused on Nutritional Studies and Diet (56 papers), Obesity, Physical Activity, Diet (35 papers) and Consumer Attitudes and Food Labeling (25 papers). Douglas Midthune collaborates with scholars based in United States, Israel and United Kingdom. Douglas Midthune's co-authors include Victor Kipnis, Amy F. Subar, Laurence S. Freedman, Frances E. Thompson, Arthur Schatzkin, Raymond J. Carroll, Kevin W. Dodd, Susan M. Krebs‐Smith, Patricia M. Guenther and Paul E. Hurwitz and has published in prestigious journals such as American Journal of Clinical Nutrition, JNCI Journal of the National Cancer Institute and American Journal of Epidemiology.

In The Last Decade

Douglas Midthune

69 papers receiving 8.8k citations

Hit Papers

Comparative Validation of the Block, Willett, and Nationa... 1997 2026 2006 2016 2001 1997 2006 2006 2001 250 500 750 1000
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.

  1. Comparative Validation of the Block, Willett, and National Cancer Institute Food Frequency Questionnaires
    2001 1.2k citations Amy F. Subar, Frances E. Thompson et al. American Journal of Epidemiology profile →
  2. Time-to-Event Analysis of Longitudinal Follow-up of a Survey: Choice of the Time-scale
    1997 820 citations Douglas Midthune et al. American Journal of Epidemiology profile →
  3. Statistical Methods for Estimating Usual Intake of Nutrients and Foods: A Review of the Theory
    2006 543 citations Kevin W. Dodd, Patricia M. Guenther et al. Journal of the American Dietetic Association profile →
  4. A New Statistical Method for Estimating the Usual Intake of Episodically Consumed Foods with Application to Their Distribution
    2006 507 citations Janet A. Tooze, Douglas Midthune et al. Journal of the American Dietetic Association profile →
  5. Design and Serendipity in Establishing a Large Cohort with Wide Dietary Intake Distributions
    2001 505 citations Arthur Schatzkin, Amy F. Subar et al. American Journal of Epidemiology profile →
  6. Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Energy and Protein Intake
    2014 363 citations Laurence S. Freedman, John Commins et al. American Journal of Epidemiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas Midthune United States 40 6.0k 2.5k 1.5k 1.0k 817 71 9.1k
Victor Kipnis United States 61 8.8k 1.5× 4.3k 1.7× 2.2k 1.5× 1.2k 1.1× 1.7k 2.1× 131 14.6k
Shirley A.A. Beresford United States 57 3.8k 0.6× 2.2k 0.9× 1.2k 0.8× 1.5k 1.5× 1.3k 1.6× 239 10.8k
WC Willett United States 38 5.1k 0.9× 3.3k 1.4× 2.0k 1.4× 700 0.7× 1.2k 1.5× 45 13.2k
Frances E. Thompson United States 54 8.3k 1.4× 3.3k 1.3× 2.0k 1.4× 1.9k 1.8× 1.1k 1.3× 110 12.3k
Anne M. Hartman United States 48 4.9k 0.8× 2.7k 1.1× 2.1k 1.4× 673 0.7× 1.0k 1.2× 79 9.9k
Susan M. Krebs‐Smith United States 51 11.8k 2.0× 3.5k 1.4× 3.1k 2.1× 2.6k 2.6× 410 0.5× 83 15.3k
Rino Bellocco Sweden 56 2.4k 0.4× 1.8k 0.7× 617 0.4× 607 0.6× 1.7k 2.1× 224 11.1k
Patricia M. Guenther United States 40 7.7k 1.3× 2.2k 0.9× 2.2k 1.5× 1.7k 1.6× 186 0.2× 90 10.0k
Lesley F. Tinker United States 52 5.1k 0.9× 4.1k 1.7× 1.8k 1.2× 506 0.5× 1.1k 1.4× 244 11.2k
Alan R. Dyer United States 76 5.5k 0.9× 2.5k 1.0× 3.2k 2.2× 1.3k 1.2× 501 0.6× 227 20.9k

Countries citing papers authored by Douglas Midthune

Since Specialization
Citations

This map shows the geographic impact of Douglas 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 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 Midthune more than expected).

Fields of papers citing papers by Douglas Midthune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Midthune

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Midthune. A scholar is included among the top collaborators of Douglas 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 Midthune. Douglas Midthune 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
1.
O’Brien, Diane M., Virág Sági‐Kiss, Susana A. Palma-Duran, et al.. (2022). An evaluation of the serum carbon isotope ratio as a candidate predictive biomarker of the dietary animal protein ratio (animal protein/total protein) in a 15-day controlled feeding study of US adults. American Journal of Clinical Nutrition. 115(4). 1134–1143. 10 indexed citations
2.
Tasevska, Natasha, Virág Sági‐Kiss, Susana A. Palma-Duran, et al.. (2021). Investigating the performance of 24-h urinary sucrose and fructose as a biomarker of total sugars intake in US participants – a controlled feeding study. American Journal of Clinical Nutrition. 114(2). 721–730. 9 indexed citations
3.
Tasevska, Natasha, Douglas Midthune, Lesley F. Tinker, et al.. (2014). Use of a Urinary Sugars Biomarker to Assess Measurement Error in Self-Reported Sugars Intake in the Nutrition and Physical Activity Assessment Study (NPAAS). Cancer Epidemiology Biomarkers & Prevention. 23(12). 2874–2883. 32 indexed citations
4.
Subar, Amy F., Douglas Midthune, Nataša Tasevska, Victor Kipnis, & Laurence S. Freedman. (2013). Checking for completeness of 24-h urine collection using para-amino benzoic acid not necessary in the Observing Protein and Energy Nutrition study. European Journal of Clinical Nutrition. 67(8). 863–867. 35 indexed citations
5.
George, Stephanie M., Frances E. Thompson, Douglas Midthune, et al.. (2012). Strength of the relationships between three self-reported dietary intake instruments and serum carotenoids: the Observing Energy and Protein Nutrition (OPEN) Study. Public Health Nutrition. 15(6). 1000–1007. 25 indexed citations
6.
Tasevska, Nataša, Douglas Midthune, Nancy Potischman, et al.. (2011). Use of the Predictive Sugars Biomarker to Evaluate Self-Reported Total Sugars Intake in the Observing Protein and Energy Nutrition (OPEN) Study. Cancer Epidemiology Biomarkers & Prevention. 20(3). 490–500. 41 indexed citations
7.
Freedman, Laurence S., Arthur Schatzkin, Douglas Midthune, & Victor Kipnis. (2011). Dealing With Dietary Measurement Error in Nutritional Cohort Studies. JNCI Journal of the National Cancer Institute. 103(14). 1086–1092. 337 indexed citations
8.
Freedman, Laurence S., Patricia M. Guenther, Susan M. Krebs‐Smith, Kevin W. Dodd, & Douglas Midthune. (2010). A Population’s Distribution of Healthy Eating Index-2005 Component Scores Can Be Estimated When More Than One 24-Hour Recall Is Available , ,. Journal of Nutrition. 140(8). 1529–1534. 48 indexed citations
9.
Reedy, Jill, Elisabet Wirfält, Andrew Flood, et al.. (2009). Comparing 3 Dietary Pattern Methods--Cluster Analysis, Factor Analysis, and Index Analysis--With Colorectal Cancer Risk: The NIH-AARP Diet and Health Study. American Journal of Epidemiology. 171(4). 479–487. 172 indexed citations
10.
Kipnis, Victor, Douglas Midthune, Dennis W. Buckman, et al.. (2009). Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes. Biometrics. 65(4). 1003–1010. 217 indexed citations
11.
Greene, Geoffrey, Ken Resnicow, Frances E. Thompson, et al.. (2008). Correspondence of the NCI Fruit and Vegetable Screener to Repeat 24-H Recalls and Serum Carotenoids in Behavioral Intervention Trials. Journal of Nutrition. 138(1). 200S–204S. 63 indexed citations
12.
Williams, Geoffrey C., Thomas G. Hurley, Frances E. Thompson, et al.. (2008). Performance of a Short Percentage Energy from Fat Tool in Measuring Change in Dietary Intervention Studies. Journal of Nutrition. 138(1). 212S–217S. 22 indexed citations
13.
Thompson, Frances E., Douglas Midthune, Geoffrey C. Williams, et al.. (2008). Evaluation of a Short Dietary Assessment Instrument for Percentage Energy from Fat in an Intervention Study. Journal of Nutrition. 138(1). 193S–199S. 53 indexed citations
14.
Wirfält, Elisabet, Douglas Midthune, Jill Reedy, et al.. (2008). Associations between food patterns defined by cluster analysis and colorectal cancer incidence in the NIH–AARP diet and health study. European Journal of Clinical Nutrition. 63(6). 707–717. 60 indexed citations
15.
Midthune, Douglas, Victor Kipnis, Laurence S. Freedman, & Raymond J. Carroll. (2007). Binary Regression in Truncated Samples, with Application to Comparing Dietary Instruments in a Large Prospective Study. Biometrics. 64(1). 289–298. 4 indexed citations
16.
Lissner, Lauren, Richard P. Troiano, Douglas Midthune, et al.. (2007). OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI. International Journal of Obesity. 31(6). 956–961. 107 indexed citations
17.
Subar, Amy F., Kevin W. Dodd, Patricia M. Guenther, et al.. (2006). The Food Propensity Questionnaire: Concept, Development, and Validation for Use as a Covariate in a Model to Estimate Usual Food Intake. Journal of the American Dietetic Association. 106(10). 1556–1563. 142 indexed citations
18.
Thompson, Frances E., Douglas Midthune, Amy F. Subar, et al.. (2005). Dietary intake estimates in the National Health Interview Survey, 2000: Methodology, results, and interpretation. Journal of the American Dietetic Association. 105(3). 352–363. 94 indexed citations
19.
Thompson, Frances E., Douglas Midthune, Amy F. Subar, et al.. (2004). Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre. Public Health Nutrition. 7(8). 1097–1106. 184 indexed citations
20.
Schatzkin, Arthur, Amy F. Subar, Frances E. Thompson, et al.. (2001). Design and Serendipity in Establishing a Large Cohort with Wide Dietary Intake Distributions. American Journal of Epidemiology. 154(12). 1119–1125. 505 indexed citations breakdown →

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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