Tina M. Rees

536 total citations
11 papers, 436 citations indexed

About

Tina M. Rees is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Tina M. Rees has authored 11 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tina M. Rees's work include Diabetes Management and Research (6 papers), Diabetes Treatment and Management (5 papers) and Computational Drug Discovery Methods (3 papers). Tina M. Rees is often cited by papers focused on Diabetes Management and Research (6 papers), Diabetes Treatment and Management (5 papers) and Computational Drug Discovery Methods (3 papers). Tina M. Rees collaborates with scholars based in United States, United Kingdom and Israel. Tina M. Rees's co-authors include Stephen Brimijoin, Steven G. Younkin, Linda H. Younkin, Ella H. Sklan, Amit Berson, Hermona Soreq, Tao Wang, Kate Van Brunt, Kenneth A. Conrad and Justo Sierra‐Johnson and has published in prestigious journals such as Neurobiology of Aging, Current Alzheimer Research and Endocrine Practice.

In The Last Decade

Tina M. Rees

11 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tina M. Rees United States 8 295 165 151 126 69 11 436
Kris Simone Tranches Dias Brazil 8 209 0.7× 88 0.5× 139 0.9× 118 0.9× 141 2.0× 11 443
José Dias France 13 235 0.8× 38 0.2× 128 0.8× 176 1.4× 96 1.4× 29 454
Serena Vittorio Italy 13 56 0.2× 104 0.6× 56 0.4× 105 0.8× 82 1.2× 33 509
Ana Elisa Gonçalves Brazil 9 89 0.3× 41 0.2× 43 0.3× 158 1.3× 228 3.3× 11 446
Flávia P. Dias Viegas Brazil 6 79 0.3× 30 0.2× 85 0.6× 124 1.0× 124 1.8× 9 325
Akiko Mizote Japan 12 61 0.2× 82 0.5× 43 0.3× 177 1.4× 20 0.3× 24 672
P.G. Pagella Italy 11 192 0.7× 43 0.3× 38 0.3× 151 1.2× 108 1.6× 24 385
Gerda Brunhofer Austria 9 122 0.4× 28 0.2× 76 0.5× 180 1.4× 124 1.8× 10 402
Frank Fernandez United States 6 74 0.3× 247 1.5× 30 0.2× 98 0.8× 8 0.1× 7 451
Jacek Jasiecki Poland 11 124 0.4× 44 0.3× 67 0.4× 161 1.3× 23 0.3× 21 373

Countries citing papers authored by Tina M. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Tina M. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina M. Rees. 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 Tina M. Rees. The network helps show where Tina M. Rees may publish in the future.

Co-authorship network of co-authors of Tina M. Rees

This figure shows the co-authorship network connecting the top 25 collaborators of Tina M. Rees. A scholar is included among the top collaborators of Tina M. Rees 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 Tina M. Rees. Tina M. Rees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wang, Tao, Kenneth A. Conrad, Kate Van Brunt, & Tina M. Rees. (2016). Attributes Influencing Insulin Pen Preference Among Caregivers and Patients With Diabetes Who Require Greater Than 20 Units of Mealtime Insulin. Journal of Diabetes Science and Technology. 10(4). 923–931. 15 indexed citations
2.
Rees, Tina M., et al.. (2015). A Comparison of Glide Force Characteristics Between 2 Prefilled Insulin Lispro Pens. Journal of Diabetes Science and Technology. 9(2). 316–319. 13 indexed citations
3.
4.
5.
Rees, Tina M., Bradley Curtis, Justo Sierra‐Johnson, et al.. (2013). Efficacy and Safety of Insulin Lispro in Obese Patients with Type 2 Diabetes: A Retrospective Meta-Analysis of 7 Randomized Controlled Trials. Endocrine Practice. 20(5). 389–398. 3 indexed citations
6.
Curtis, Bradley, Tina M. Rees, Justo Sierra‐Johnson, et al.. (2013). Efficacy and safety of insulin lispro in geriatric patients with type 2 diabetes: a retrospective analysis of seven randomized controlled clinical trials. Aging Clinical and Experimental Research. 26(1). 77–88. 1 indexed citations
7.
Rees, Tina M., et al.. (2008). Oral supplementation with l-lysine did not prevent upper respiratory infection in a shelter population of cats. Journal of Feline Medicine and Surgery. 10(5). 510–513. 25 indexed citations
8.
Rees, Tina M., Amit Berson, Ella H. Sklan, et al.. (2005). Memory Deficits Correlating with Acetylcholinesterase Splice Shift and Amyloid Burden in Doubly Transgenic Mice. Current Alzheimer Research. 2(3). 291–300. 54 indexed citations
9.
Rees, Tina M.. (2003). Acetylcholinesterase promotes beta-amyloid plaques in cerebral cortex. Neurobiology of Aging. 24(6). 777–787. 179 indexed citations
10.
Rees, Tina M. & Stephen Brimijoin. (2003). The role of acetylcholinesterase in the pathogenesis of Alzheimer'sdisease. Drugs of today. 39(1). 75–75. 127 indexed citations
11.
Rees, Tina M., et al.. (1990). A Multicentre General Practice Trial of Nabumetone and Slow-Release Diclofenac in Osteoarthritis. Clinical Drug Investigation. 2(1). 53–60. 7 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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