TracyAnn Perry

15 papers receiving 2.5k citations

Peers

TracyAnn Perry
Comparison fields: 5 of 88
  • Pharmacology 863
  • Endocrinology, Diabetes and Metabolism 744
  • Cellular and Molecular Neuroscience 673
  • Computational Theory and Mathematics 442
  • Neurology 183
Replace Laura Gasparini with:
Laura Gasparini Italy
Lorenzo M. Refolo United States
Cora O’Neill Ireland
Lap Ho United States
Jordano Brito‐Moreira Brazil
Zhong Zhao United States
Siegfried Hoyer Germany
Theresa R. Bomfim Brazil
Michela Guglielmotto Italy
Ewa Hellström‐Lindahl Sweden
TracyAnn Perry relative to Laura Gasparini Italy Laura Gasparini's profile →
Citations per field
00.5×1.5×2.5×
Laura Gasparini · 1×
Citations per year

Countries citing papers authored by TracyAnn Perry

Since Specialization
Citations

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

Fields of papers citing papers by TracyAnn Perry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2001383
2 2001337
3 2002333
4 1994289
5 2010287
6 2002275
7 2006171
8 2005110
9 200399
10 200285
11 200067
12 200155
13 20015
14 20023
15 20072

About TracyAnn Perry

TracyAnn Perry is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Molecular Biology, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Pancreatic function and diabetes (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers), Regulation of Appetite and Obesity (3 papers), Computational Drug Discovery Methods (3 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Pharmacology (863 citations), Endocrinology, Diabetes and Metabolism (744 citations), Cellular and Molecular Neuroscience (673 citations), Computational Theory and Mathematics (442 citations) and Neurology (183 citations). TracyAnn Perry has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nigel H. Greig, Debomoy K. Lahiri, Harold W. Holloway, Josephine M. Egan, Mark P. Mattson, Tada Utsuki, Xiaoxiang Zhu, Donald K. Ingram, Bong Lee and Norman J. Haughey. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Current Medical Research and Opinion, Journal of Alzheimer s Disease, Experimental Neurology and Trends in Pharmacological Sciences.

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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