Amber M. Tetlow

21 total papers · 563 total citations
13 papers, 338 citations indexed

About

Amber M. Tetlow is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Amber M. Tetlow has authored 13 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Psychiatry and Mental health and 2 papers in Molecular Biology. Recurrent topics in Amber M. Tetlow's work include Dementia and Cognitive Impairment Research (3 papers), Alzheimer's disease research and treatments (3 papers) and Tryptophan and brain disorders (2 papers). Amber M. Tetlow is often cited by papers focused on Dementia and Cognitive Impairment Research (3 papers), Alzheimer's disease research and treatments (3 papers) and Tryptophan and brain disorders (2 papers). Amber M. Tetlow collaborates with scholars based in United States, United Kingdom and Portugal. Amber M. Tetlow's co-authors include Jerri D. Edwards, Erin E. Congdon, Einar M. Sigurdsson, Changyi Ji, Yixiang Jiang, Elise G. Valdés, Jennifer J. Lister, Xiang‐Peng Kong, Barbara I. Karp and John F. Crary and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Neurobiology of Aging and Movement Disorders.

In The Last Decade

Amber M. Tetlow

13 papers receiving 336 citations

Hit Papers

Tau-targeting therapies f... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amber M. Tetlow 118 77 75 64 62 13 338
Elena Davis 103 0.9× 40 0.5× 92 1.2× 104 1.6× 42 0.7× 12 381
Athena Paton 177 1.5× 164 2.1× 43 0.6× 72 1.1× 45 0.7× 11 362
Masatsugu Nagao 87 0.7× 91 1.2× 83 1.1× 61 1.0× 72 1.2× 15 320
Alexander L. Houck 72 0.6× 59 0.8× 106 1.4× 72 1.1× 37 0.6× 10 347
Van Dang 117 1.0× 53 0.7× 50 0.7× 65 1.0× 25 0.4× 10 326
Peter Zandi 89 0.8× 69 0.9× 31 0.4× 102 1.6× 41 0.7× 10 401
K. Roseberry 70 0.6× 57 0.7× 30 0.4× 71 1.1× 22 0.4× 13 314
Marta Silva 46 0.4× 128 1.7× 132 1.8× 40 0.6× 56 0.9× 18 360
Eugenia Scaricamazza 123 1.0× 130 1.7× 131 1.7× 46 0.7× 37 0.6× 19 362
Helen Slawik 78 0.7× 23 0.3× 80 1.1× 49 0.8× 77 1.2× 15 318

Countries citing papers authored by Amber M. Tetlow

Since Specialization
Citations

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

Fields of papers citing papers by Amber M. Tetlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber M. Tetlow

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

All Works

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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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