Beth Mittl

1.6k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Beth Mittl is a scholar working on Public Health, Environmental and Occupational Health, Physiology and General Health Professions. According to data from OpenAlex, Beth Mittl has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 5 papers in Physiology and 3 papers in General Health Professions. Recurrent topics in Beth Mittl's work include Nutritional Studies and Diet (13 papers), Obesity, Physical Activity, Diet (6 papers) and Nutrition, Genetics, and Disease (3 papers). Beth Mittl is often cited by papers focused on Nutritional Studies and Diet (13 papers), Obesity, Physical Activity, Diet (6 papers) and Nutrition, Genetics, and Disease (3 papers). Beth Mittl collaborates with scholars based in United States, Canada and Egypt. Beth Mittl's co-authors include Frances E. Thompson, Amy F. Subar, Nancy Potischman, Thea Palmer Zimmerman, Suzanne McNutt, Noemi Islam, Sharon I. Kirkpatrick, Gordon Willis, Tom Baranowski and James T. Gibson and has published in prestigious journals such as Circulation, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Beth Mittl

16 papers receiving 1.2k citations

Hit Papers

The Automated Self-Administered 24-Hour Dietary Recall (A... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beth Mittl United States 10 759 381 155 144 111 16 1.2k
Marissa Shams‐White United States 16 590 0.8× 478 1.3× 95 0.6× 116 0.8× 167 1.5× 56 1.3k
Lisa M. Troy United States 19 865 1.1× 412 1.1× 208 1.3× 224 1.6× 142 1.3× 42 1.5k
Ann L. Shattuck United States 16 926 1.2× 372 1.0× 246 1.6× 175 1.2× 98 0.9× 18 1.4k
Brook E. Harmon United States 20 1.1k 1.4× 526 1.4× 214 1.4× 225 1.6× 186 1.7× 50 1.6k
Michael I. Goran United States 9 662 0.9× 503 1.3× 166 1.1× 106 0.7× 89 0.8× 10 1.1k
Silvia Benito Spain 11 570 0.8× 353 0.9× 64 0.4× 127 0.9× 72 0.6× 17 1.1k
Philip Cavicchia United States 11 623 0.8× 290 0.8× 142 0.9× 116 0.8× 84 0.8× 18 981
Charlotte E. Neville United Kingdom 18 494 0.7× 451 1.2× 98 0.6× 149 1.0× 45 0.4× 53 1.4k
Josep Lluís Piñol Spain 16 517 0.7× 276 0.7× 118 0.8× 123 0.9× 165 1.5× 28 1.4k
Stefaan De Henauw Belgium 19 780 1.0× 452 1.2× 90 0.6× 185 1.3× 58 0.5× 43 1.2k

Countries citing papers authored by Beth Mittl

Since Specialization
Citations

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

Fields of papers citing papers by Beth Mittl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beth Mittl

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

All Works

16 of 16 papers shown
1.
Shams‐White, Marissa, et al.. (2021). Development of a Sleep Assessment Module in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool: New Research Opportunities. Current Developments in Nutrition. 5. 474–474. 1 indexed citations
2.
Subar, Amy F., Nancy Potischman, Kevin W. Dodd, et al.. (2020). Performance and Feasibility of Recalls Completed Using the Automated Self-Administered 24-Hour Dietary Assessment Tool in Relation to Other Self-Report Tools and Biomarkers in the Interactive Diet and Activity Tracking in AARP (IDATA) Study. Journal of the Academy of Nutrition and Dietetics. 120(11). 1805–1820. 39 indexed citations
3.
4.
Subar, Amy F., Beth Mittl, Thea Palmer Zimmerman, et al.. (2016). The Automated Self‐Administered 24‐Hour (ASA24) is Now Mobile and Can Collect Both 24‐Hour Recalls and Food Records. The FASEB Journal. 30(S1). 5 indexed citations
5.
Subar, Amy F., Sharon I. Kirkpatrick, Beth Mittl, et al.. (2014). Abstract MP31: The Web-based Automated Self-administered 24-hour Dietary Recall Performs Similarly to a Traditional Interviewer-administered 24-hour Dietary Recall. Circulation. 129(suppl_1). 2 indexed citations
6.
Subar, Amy F., Sharon I. Kirkpatrick, Beth Mittl, et al.. (2012). The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute. Journal of the Academy of Nutrition and Dietetics. 112(8). 1134–1137. 653 indexed citations breakdown →
7.
Subar, Amy F., Sharon I. Kirkpatrick, Beth Mittl, et al.. (2012). The National Cancer Institute's automated self‐administered 24‐hour dietary recall (ASA24). The FASEB Journal. 26(S1). 2 indexed citations
8.
Subar, Amy F., Sharon I. Kirkpatrick, Beth Mittl, et al.. (2012). Abstract 029: The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Research Resource from the National Cancer Institute (NCI). Circulation. 125(suppl_10). 4 indexed citations
9.
Mittl, Beth, et al.. (2010). Development of a Computer-Assisted Personal Interview Software System for Collection of Tribal Fish Consumption Data. Risk Analysis. 30(12). 1833–1841. 11 indexed citations
10.
Zimmerman, Thea Palmer, Stephen G. Hull, Suzanne McNutt, et al.. (2009). Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute automated self-administered 24-hour recall (ASA24). Journal of Food Composition and Analysis. 22(Supplement 1). S48–S51. 84 indexed citations
11.
Subar, Amy F., Nancy Potischman, Frances E. Thompson, et al.. (2009). The Automated Self‐Administered 24‐hour Dietary Recall (ASA24): publicly available from the National Cancer Institute (NCI). The FASEB Journal. 23(S1). 20 indexed citations
12.
Cantwell, Marie M., Amy E. Millen, Raymond J. Carroll, et al.. (2006). A Debriefing Session with a Nutritionist Can Improve Dietary Assessment Using Food Diaries. Journal of Nutrition. 136(2). 440–445. 20 indexed citations
13.
Pickard, Amy, Chien‐Jen Chen, Scott R. Diehl, et al.. (2004). Epstein‐Barr virus seroreactivity among unaffected individuals within high‐risk nasopharyngeal carcinoma families in Taiwan. International Journal of Cancer. 111(1). 117–123. 47 indexed citations
14.
Cantwell, Marie M., et al.. (2004). Relative Validity of a Food Frequency Questionnaire with a Meat-Cooking and Heterocyclic Amine Module. Cancer Epidemiology Biomarkers & Prevention. 13(2). 293–298. 55 indexed citations
15.
Thompson, Frances E., Amy F. Subar, Charles Brown, et al.. (2002). Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. Journal of the American Dietetic Association. 102(2). 212–225. 232 indexed citations
16.
Potischman, Nancy, Raymond J. Carroll, Stephen J. Iturria, et al.. (1999). Comparison of the 60- and 100-Item NCI-Block Questionnaires With Validation Data. Nutrition and Cancer. 34(1). 70–75. 42 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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