Joan E. Hilner

2.6k citations
34 papers · 2.2k · h-index 22

Impact in

Papers in

Joan E. Hilner

34 papers receiving 2.1k citations

Peers

Joan E. Hilner
Comparison fields: 5 of 110
  • Pharmacy 119
  • Endocrinology, Diabetes and Metabolism 339
  • Public Health, Environmental and Occupational Health 447
  • Genetics 351
  • Physiology 254
Replace Susan A. Kaye with:
Susan A. Kaye United States
Judith M. E. Walsh United States
S. M. Haffner United States
Margareta Norberg Sweden
Judith K. Patterson United States
Sharon P. Gaskill United States
Edward A. Lew United States
C. P. Quesenberry United States
Ruby Jacobs Canada
Heikki Oksa Finland
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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 1991258
2
A study of the reliability and comparative validity of the cardia dietary history.
1994248
3 1991234
4 1999156
5 1989132
6 1996109
7 1993104
8 2008101
9 199687
10 200487
11 200979
12 199665
13 199163
14 199156
15 200953
16 201139
17 199739
18 200938
19 199238
20
The Association of Whole Grain Intake and Fasting Insulin in a Biracial Cohort of Young Adults: The CARDIA Study.
199835

About Joan E. Hilner

Joan E. Hilner is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (9 papers), Diabetes and associated disorders (9 papers), Nutritional Studies and Diet (6 papers), Diet and metabolism studies (5 papers), Pancreatic function and diabetes (4 papers), Body Composition Measurement Techniques (2 papers), Nutrition, Genetics, and Disease (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Pharmacy (119 citations), Endocrinology, Diabetes and Metabolism (339 citations), Public Health, Environmental and Occupational Health (447 citations), Genetics (351 citations) and Physiology (254 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, Kiang Liu, Aaron R. Folsom, D. E. Smith, Lynne E. Wagenknecht, Alan R. Dyer and Martha L. Slattery. Their work appears in journals such as Clinical Trials, American Journal of Epidemiology, Genes and Immunity, Journal of Clinical Epidemiology and Diabetes.

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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