Bryan C. Batch

74 papers receiving 2.9k citations

Peers

Bryan C. Batch
Comparison fields: 5 of 128
  • Pharmacy 171
  • Physiology 632
  • Endocrinology, Diabetes and Metabolism 380
  • Public Health, Environmental and Occupational Health 590
  • Applied Psychology 87
Replace Tanya Agurs‐Collins with:
Tanya Agurs‐Collins United States
Mohd Azahadi Omar Malaysia
Karen Chapman‐Novakofski United States
Maria L. Turley New Zealand
Vilma Kriaučionienė Lithuania
Heather M. Johnson United States
Eva Karaglani Greece
Ronald T. Ackermann United States
Antoine Avignon France
Stephen Havas United States
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Citations per year

Countries citing papers authored by Bryan C. Batch

Since Specialization
Citations

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

Fields of papers citing papers by Bryan C. Batch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan C. Batch. 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 Bryan C. Batch. The network helps show where Bryan C. Batch may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan C. Batch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan C. Batch Line = papers co-authored together Bryan C. Batch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011304
2 2013204
3 2010199
4 2009196
5 2015146
6 2018132
7 2009109
8 2013104
9 2013100
10 201173
11 201373
12 201171
13 201666
14 201665
15 201660
16 201360
17 201647
18 201546
19 201345
20 201044

About Bryan C. Batch

Bryan C. Batch is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Pharmacy, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 77 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (8 papers), Obesity, Physical Activity, Diet (7 papers), Sodium Intake and Health (6 papers), Diabetes Management and Education (5 papers), Obesity and Health Practices (5 papers), Nutritional Studies and Diet (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Pharmacy (171 citations), Physiology (632 citations), Endocrinology, Diabetes and Metabolism (380 citations), Public Health, Environmental and Occupational Health (590 citations) and Applied Psychology (87 citations). Bryan C. Batch has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Laura P. Svetkey, Lawrence J. Appel, Catherine M. Loria, Hayden Barry Bosworth, Jamy D. Ard, Catherine M. Champagne, Pao-Hwa Lin, Leonor Corsino, Pao‐Hwa Lin and Gary G. Bennett. Their work appears in journals such as Obesity, Contemporary Clinical Trials, Annals of Behavioral Medicine, Journal of the American Medical Informatics Association and Journal of Women s Health.

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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