Debra Armstrong

711 citations
10 papers · 582 · h-index 9

Impact in

    • Pituitary Gland Disorders and Treatments
    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Debra Armstrong

10 papers receiving 561 citations

Peers

Debra Armstrong
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 377
  • Epidemiology 108
  • Surgery 131
  • Small Animals 19
  • Physiology 60
Replace Husam Ghanim with:
Husam Ghanim United States
C I Pao United States
Katharina Binz Switzerland
Yuedan Zhou Sweden
Ikuro Matsuba Japan
T Aizawa Japan
Holly A. Cyphert United States
Yoshio Kurihara Japan
Chul Han Kim South Korea
Debra Armstrong relative to Husam Ghanim United States Husam Ghanim's profile →
Citations per field
00.5×10×12.5×
Husam Ghanim · 1×
Citations per year

Countries citing papers authored by Debra Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Debra Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013195
2 2002167
3 201247
4 201446
5 199739
6 200229
7 200321
8 198219
9 201616
10 20013

About Debra Armstrong

Debra Armstrong is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Small Animals, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 10 papers that have together received 582 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Muscle metabolism and nutrition (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Inhalation and Respiratory Drug Delivery (1 paper), Coccidia and coccidiosis research (1 paper), Asthma and respiratory diseases (1 paper), Helminth infection and control (1 paper) and Respiratory and Cough-Related Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (377 citations), Epidemiology (108 citations), Surgery (131 citations), Small Animals (19 citations) and Physiology (60 citations). Debra Armstrong has collaborated with scholars based in United States, Singapore and Denmark. Frequent co-authors include Robert R. Henry, Sunder Mudaliar, Theodore P. Ciaraldi, P. Burke, Monica Ligueros‐Saylan, Reena Deutsch, Neelima V. Chu, Sunita Baxi, Dennis Dong Hwan Kim and Peter D. Reaven. Their work appears in journals such as Diabetes Care, Clinical Therapeutics, The Journal of Clinical Pharmacology, Diabetes Obesity and Metabolism 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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