Gregory P. Tinkler

839 total citations
7 papers, 674 citations indexed

About

Gregory P. Tinkler is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, Gregory P. Tinkler has authored 7 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Gregory P. Tinkler's work include Estrogen and related hormone effects (3 papers), Alzheimer's disease research and treatments (3 papers) and Menopause: Health Impacts and Treatments (3 papers). Gregory P. Tinkler is often cited by papers focused on Estrogen and related hormone effects (3 papers), Alzheimer's disease research and treatments (3 papers) and Menopause: Health Impacts and Treatments (3 papers). Gregory P. Tinkler collaborates with scholars based in United States. Gregory P. Tinkler's co-authors include Mary Lou Voytko, Tara C. Smith, Michael J. Male, J. Kroeger, Daniel J. Diekema, Loreen A. Herwaldt, Ana W. Capuano, Erin D. Moritz, Alex McCampbell and Lesley Hickman and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Behavioural Brain Research.

In The Last Decade

Gregory P. Tinkler

7 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory P. Tinkler United States 7 288 267 162 150 118 7 674
Kerstin Hoffmann Germany 21 256 0.9× 269 1.0× 79 0.5× 53 0.4× 32 0.3× 37 1.1k
Giovanna Liguori Italy 16 88 0.3× 124 0.5× 155 1.0× 24 0.2× 13 0.1× 62 687
Neha Jain India 17 226 0.8× 644 2.4× 48 0.3× 102 0.7× 9 0.1× 43 1.1k
Ryoko Ishihara Japan 19 165 0.6× 144 0.5× 36 0.2× 122 0.8× 5 0.0× 55 905
Pedro P. Rojas-García Chile 13 42 0.1× 120 0.4× 48 0.3× 29 0.2× 21 0.2× 19 642
Zaining Wu United States 9 78 0.3× 1.1k 4.0× 61 0.4× 238 1.6× 28 0.2× 10 1.6k
W. J. Smith United States 17 63 0.2× 200 0.7× 33 0.2× 156 1.0× 7 0.1× 32 939
Brooke E. Hjelm United States 16 171 0.6× 492 1.8× 21 0.1× 83 0.6× 43 0.4× 28 909
Chun‐Xue Zhou China 21 95 0.3× 304 1.1× 37 0.2× 33 0.2× 8 0.1× 64 1.1k
Anjali Apte-Deshpande India 12 59 0.2× 136 0.5× 244 1.5× 123 0.8× 9 0.1× 18 812

Countries citing papers authored by Gregory P. Tinkler

Since Specialization
Citations

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

Fields of papers citing papers by Gregory P. Tinkler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory P. Tinkler. 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 Gregory P. Tinkler. The network helps show where Gregory P. Tinkler may publish in the future.

Co-authorship network of co-authors of Gregory P. Tinkler

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory P. Tinkler. A scholar is included among the top collaborators of Gregory P. Tinkler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory P. Tinkler. Gregory P. Tinkler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Duffy, Kara B., Balmiki Ray, Debomoy K. Lahiri, et al.. (2019). Effects of Reducing Norepinephrine Levels via DSP4 Treatment on Amyloid-β Pathology in Female Rhesus Macaques (Macaca Mulatta). Journal of Alzheimer s Disease. 68(1). 115–126. 10 indexed citations
2.
Smith, Tara C., Michael J. Male, J. Kroeger, et al.. (2009). Methicillin-Resistant Staphylococcus aureus (MRSA) Strain ST398 Is Present in Midwestern U.S. Swine and Swine Workers. PLoS ONE. 4(1). e4258–e4258. 348 indexed citations
3.
Voytko, Mary Lou, Gregory P. Tinkler, Carole L. Browne, & Joseph R. Tobin. (2009). Neuroprotective effects of estrogen therapy for cognitive and neurobiological profiles of monkey models of menopause. American Journal of Primatology. 71(9). 794–801. 27 indexed citations
4.
Tinkler, Gregory P. & Mary Lou Voytko. (2005). Estrogen modulates cognitive and cholinergic processes in surgically menopausal monkeys. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 29(3). 423–431. 56 indexed citations
5.
Tinkler, Gregory P., Joseph R. Tobin, & Mary Lou Voytko. (2004). Effects of two years of estrogen loss or replacement on nucleus basalis cholinergic neurons and cholinergic fibers to the dorsolateral prefrontal and inferior parietal cortex of monkeys. The Journal of Comparative Neurology. 469(4). 507–521. 55 indexed citations
6.
Dornan, Wayne A., Alex McCampbell, Gregory P. Tinkler, et al.. (1997). Comparison of site specific injections into the basal forebrain on water maze and radial arm maze performance in the male rat after immunolesioning with 192 IgG saporin. Behavioural Brain Research. 86(2). 181–189. 111 indexed citations
7.
Dornan, Wayne A., Alex McCampbell, Gregory P. Tinkler, et al.. (1996). Comparison of site-specific injections into the basal forebrain on water maze and radial arm maze performance in the male rat after immunolesioning with 192 IgG saporin. Behavioural Brain Research. 82(1). 93–101. 67 indexed citations

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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