Taylor Armstrong

1.3k citations
23 papers · 907 · h-index 13

Impact in

Papers in

Taylor Armstrong

23 papers receiving 871 citations

Peers

Taylor Armstrong
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 312
  • Genetics 348
  • Physiology 247
  • Gastroenterology 52
  • Public Health, Environmental and Occupational Health 246
Replace Stefano Passanisi with:
Stefano Passanisi Italy
Hannah B Lewis United Kingdom
Esther Zimmermann Denmark
Alexandra Soldatou Greece
Wenli Chen United States
Szymon Skoczeń Poland
Tamara Beres Lederer Goldberg Brazil
S.A. Oliveria United States
Majedah Abdul-Rasoul Kuwait
Andrea Paola Rojas Gil Greece
Taylor Armstrong relative to Stefano Passanisi Italy Stefano Passanisi's profile →
Citations per field
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Stefano Passanisi · 1×
Citations per year

Countries citing papers authored by Taylor Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005325
2 2011122
3 200471
4 201551
5 201050
6 201149
7 200538
8 200932
9 201025
10 200222
11 200421
12 202018
13 202116
14 201212
15 201612
16 20119
17 20119
18 20218
19 20187
20 20144

About Taylor Armstrong

Taylor Armstrong is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Immunology, having authored 23 papers that have together received 907 indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (6 papers), Adrenal Hormones and Disorders (5 papers), RNA Interference and Gene Delivery (3 papers), Hormonal Regulation and Hypertension (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Genetics (348 citations), Physiology (247 citations), Gastroenterology (52 citations) and Public Health, Environmental and Occupational Health (246 citations). Taylor Armstrong has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Thomas J. Anchordoquy, George S. Eisenbarth, Adrian J. Cameron, D. Jolley, Neville Owen, Terence Dwyer, Timothy A. Welborn, Jonathan E. Shaw, Jo Salmon and Paul Zimmet. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Pharmaceutical Sciences, Pediatric Diabetes, Diabetes and Diabetes Technology & Therapeutics.

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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