Tayla A. Rees

448 total citations
20 papers, 326 citations indexed

About

Tayla A. Rees is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Tayla A. Rees has authored 20 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Psychiatry and Mental health and 10 papers in Molecular Biology. Recurrent topics in Tayla A. Rees's work include Migraine and Headache Studies (12 papers), Neuropeptides and Animal Physiology (12 papers) and Receptor Mechanisms and Signaling (6 papers). Tayla A. Rees is often cited by papers focused on Migraine and Headache Studies (12 papers), Neuropeptides and Animal Physiology (12 papers) and Receptor Mechanisms and Signaling (6 papers). Tayla A. Rees collaborates with scholars based in New Zealand, United Kingdom and United States. Tayla A. Rees's co-authors include Debbie L. Hay, Christopher S. Walker, Erica R. Hendrikse, Paul W. R. Harris, Margaret A. Brimble, Andrew Siow, Simon J. O’Carroll, Andrew F. Russo, John Scotter and Alejandro Labastida‐Ramírez and has published in prestigious journals such as Annals of Neurology, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Tayla A. Rees

17 papers receiving 325 citations

Peers

Tayla A. Rees
Comparison fields: 5 of 52
  • Psychiatry and Mental health 201
  • Cellular and Molecular Neuroscience 155
  • Molecular Biology 84
  • Physiology 82
  • Endocrine and Autonomic Systems 61
Replace Erica R. Hendrikse with:
Erica R. Hendrikse New Zealand
Andrew Siow New Zealand
Aqfan Jamaluddin United Kingdom
Michael L. Garelja New Zealand
Michael Baun Denmark
Antonina Stefania Mangione Italy
Luis Alcides Olivos-Oré Spain
Juan J. López Costa Argentina
Alan Hégron United States
Toke Jost Isaksen Denmark
Erica R. Hendrikse New Zealand View profile →
Citations per field, relative to Tayla A. Rees
Tayla A. Rees · 1×
Citations per year, relative to Tayla A. Rees
Tayla A. Rees · 1×

Countries citing papers authored by Tayla A. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Tayla A. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tayla A. Rees

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 5
4 0
5 2
6 0
7 6
8 10
9 11
10 12
11 5
12 8
13 20
14 0
15 45
16 16
17 76
18 42
19 1
20 65

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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