Joan E. Hilner

2.6k citations
34 papers · 2.1k indexed · 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
Berenson Gs United States
Joan E. Hilner relative to Susan A. Kaye United States Susan A. Kaye's profile →
Citations per field
00.5×3.2×
Susan A. Kaye · 1×
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-authorship network

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
#Work
1 201136
2 20104
3 200949
4 200915
5 20098
6 20094
7 200938
8 200973
9 200897
10 200485
11 1999148
12 19983
13 1996106
14 199665
15 199412
16 199395
17 199236
18 199161
19 199152
20 1989127

About Joan E. Hilner

Joan E. Hilner is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy, Public Health, Environmental and Occupational Health, Genetics 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), Nutritional Studies and Diet (10 papers), Pancreatic function and diabetes (10 papers), Obesity, Physical Activity, Diet (9 papers), Diabetes Management and Research (8 papers), Diet and metabolism studies (5 papers), Genetic Associations and Epidemiology (3 papers) and Obesity and Health Practices (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, Lynne E. Wagenknecht, Alan R. Dyer 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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