Beth Loots

954 citations
17 papers · 754 · h-index 11

Impact in

Papers in

Beth Loots

16 papers receiving 702 citations

Peers

Beth Loots
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 517
  • Speech and Hearing 30
  • Physiology 66
  • Obstetrics and Gynecology 23
  • Genetics 62
Replace PERSIS V. COMMISSARIAT with:
PERSIS V. COMMISSARIAT United States
Maryanne Quinn United States
Margaret S. Eidson United States
Kapriel Danadian United States
Joaquín Montero Chile
Taizo Murakami Japan
Avni C Shah United States
G. T. C. Ko China
Naoko Sasaki Japan
Elena Sergeyev Germany
Beth Loots relative to PERSIS V. COMMISSARIAT United States PERSIS V. COMMISSARIAT's profile →
Citations per field
00.5×5×11.3×
PERSIS V. COMMISSARIAT · 1×
Citations per year

Countries citing papers authored by Beth Loots

Since Specialization
Citations

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

Fields of papers citing papers by Beth Loots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth Loots. 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 Beth Loots. The network helps show where Beth Loots may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006262
2 200882
3 201980
4 202071
5 201060
6 201454
7 201847
8 202123
9 202120
10 201015
11 202313
12 20119
13 20137
14 20215
15 20254
16 20201
17 20251

About Beth Loots

Beth Loots is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Psychology, General Health Professions, Genetics and Obstetrics and Gynecology, having authored 17 papers that have together received 754 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes Management and Education (4 papers), Food Security and Health in Diverse Populations (2 papers), Diabetes and associated disorders (2 papers), Eating Disorders and Behaviors (2 papers), Complementary and Alternative Medicine Studies (1 paper), Smoking Behavior and Cessation (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (517 citations), Speech and Hearing (30 citations), Physiology (66 citations), Obstetrics and Gynecology (23 citations) and Genetics (62 citations). Beth Loots has collaborated with scholars based in United States and Uganda. Frequent co-authors include Jean M. Lawrence, Angela D. Liese, Debra A. Standiford, GEORGEANNA JONES KLINGENSMITH, Beth E. Waitzfelder, Ronny A. Bell, Desmond E. Williams, Andrea M. Ruggiero, Robert E. McKeown and Dana Dabelea. Their work appears in journals such as Diabetes Care, The Journal of Pediatrics, Diabetes Research and Clinical Practice, The Journal of Alternative and Complementary Medicine and The Lancet Child & Adolescent 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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