Taylor Armstrong

1.3k citations
23 papers · 915 · h-index 13

Impact in

Papers in

Taylor Armstrong

23 papers receiving 880 citations

Peers

Taylor Armstrong
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 207
  • Genetics 303
  • Physiology 179
  • Gastroenterology 37
  • Pharmaceutical Science 39
Replace Stefano Passanisi with:
Stefano Passanisi Italy
Wenpeng You Australia
Leonel Pekarek Spain
Rahim Vakili Iran
Szymon Skoczeń Poland
Mamoru Tanaka Japan
Pieter-Jan Martens Belgium
Wenli Chen United States
Yi Ma China
Xueyan Wu China
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Citations per field
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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 2005327
2 2011123
3 200471
4 201552
5 201050
6 201149
7 200538
8 200932
9 201026
10 200222
11 200421
12 202020
13 202117
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, Molecular Biology, Surgery and Nephrology, having authored 23 papers that have together received 915 indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), RNA Interference and Gene Delivery (3 papers), Adrenal Hormones and Disorders (3 papers), Diabetes Management and Research (2 papers), Protein purification and stability (2 papers), Pancreatic function and diabetes (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (207 citations), Genetics (303 citations), Physiology (179 citations), Gastroenterology (37 citations) and Pharmaceutical Science (39 citations). Taylor Armstrong has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Thomas J. Anchordoquy, George S. Eisenbarth, Timothy A. Welborn, Neville Owen, D. Jolley, Terence Dwyer, Jo Salmon, David W. Dunstan, Paul Zimmet and Jonathan E. Shaw. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Pharmaceutical Sciences, Diabetes Technology & Therapeutics, Diabetes and Diabetologia.

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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