William V. Rumpler

4.1k citations
42 papers · 3.1k · 1 hit paper · h-index 19

Impact in

Papers in

William V. Rumpler

40 papers receiving 3.0k citations

Hit Papers

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes 2008 · 1.5k citations
1.5k0+6+12Years since publication4008001.2k

Peers

William V. Rumpler
Comparison fields: 5 of 133
  • Physiology 1.5k
  • Public Health, Environmental and Occupational Health 1.7k
  • Endocrine and Autonomic Systems 324
  • Nutrition and Dietetics 522
  • Biochemistry 125
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David R. Paul United States
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Citations per field
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Citations per year

Countries citing papers authored by William V. Rumpler

Since Specialization
Citations

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

Fields of papers citing papers by William V. Rumpler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William V. Rumpler. 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 William V. Rumpler. The network helps show where William V. Rumpler may publish in the future.

Co-authors

The 25 scholars most cited alongside William V. Rumpler, 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 William V. Rumpler Line = papers co-authored together William V. Rumpler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes
Hit paper breakdown →
20081476
2 2007314
3 2007204
4 2001149
5 1997143
6 2011131
7 2003121
8 201397
9 201864
10 201459
11 200742
12 200434
13 200534
14 199328
15 201825
16 199624
17 200123
18 200121
19 201120
20 199917

About William V. Rumpler

William V. Rumpler is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Cell Biology, Complementary and alternative medicine and Endocrine and Autonomic Systems, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (12 papers), Obesity, Physical Activity, Diet (10 papers), Muscle metabolism and nutrition (10 papers), Nutritional Studies and Diet (9 papers), Thermoregulation and physiological responses (9 papers), Cardiovascular and exercise physiology (9 papers), Adipose Tissue and Metabolism (5 papers) and Body Composition Measurement Techniques (4 papers). The work is most often cited by research in Physiology (1.5k citations), Public Health, Environmental and Occupational Health (1.7k citations), Endocrine and Autonomic Systems (324 citations), Nutrition and Dietetics (522 citations) and Biochemistry (125 citations). William V. Rumpler has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include David J. Baer, David R. Paul, Donna Rhodes, Alanna Moshfegh, Kevin Kuczynski, Rhonda Sebastian, Linda Ingwersen, Linda Cleveland, Theophile Murayi and John Clemens. Their work appears in journals such as Journal of Nutrition, American Journal of Clinical Nutrition, The FASEB Journal, BMC Medical Research Methodology and The Journal of Nutritional Biochemistry.

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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