Joan E. Hilner

2.6k citations
34 papers · 2.1k · h-index 21

Impact in

Papers in

Joan E. Hilner

34 papers receiving 2.1k citations

Peers

Joan E. Hilner
Comparison fields: 5 of 113
  • Pharmacy 177
  • Endocrinology, Diabetes and Metabolism 459
  • Public Health, Environmental and Occupational Health 792
  • Physiology 425
  • Cardiology and Cardiovascular Medicine 348
Replace Susan A. Kaye with:
Susan A. Kaye United States
J H Madans United States
Henk Asscheman Netherlands
Martha L. Cruz United States
Seema Gulati India
Rachel Leach United Kingdom
Arash Ghanbarian Iran
Christin Heidemann Germany
Walter C. Willett United States
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Citations per field
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Citations per year

Countries citing papers authored by Joan E. Hilner

Since Specialization
Citations

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

Fields of papers citing papers by Joan E. Hilner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan E. Hilner. 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 Joan E. Hilner. The network helps show where Joan E. Hilner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991250
2
A study of the reliability and comparative validity of the cardia dietary history.
1994241
3 1991231
4 1999148
5 1989127
6 1996106
7 200897
8 199395
9 200485
10 199685
11 200973
12 199665
13 199161
14 199152
15 200949
16 200938
17 201136
18 199236
19 199735
20
Changes in measurements of body fat distribution accompanying weight change.
199434

About Joan E. Hilner

Joan E. Hilner is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (10 papers), Nutritional Studies and Diet (10 papers), Obesity, Physical Activity, Diet (9 papers), Diabetes Management and Research (8 papers), Diet and metabolism studies (5 papers), Obesity and Health Practices (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Pharmacy (177 citations), Endocrinology, Diabetes and Metabolism (459 citations), Public Health, Environmental and Occupational Health (792 citations), Physiology (425 citations) and Cardiology and Cardiovascular Medicine (348 citations). Joan E. Hilner has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David R. Jacobs, Bette J. Caan, Linda Van Horn, Arline McDonald, Aaron R. Folsom, Kiang Liu, D. E. Smith, Alan R. Dyer, Lynne E. Wagenknecht and Martha L. Slattery. Their work appears in journals such as Clinical Trials, American Journal of Epidemiology, Diabetes, Journal of Clinical Epidemiology and Genes and Immunity.

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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