Geneieve Tai

955 citations
25 papers · 584 indexed · h-index 11
Topics
Genetic Neurodegenerative Diseases (21 papers)Mitochondrial Function and Pathology (12 papers)Botulinum Toxin and Related Neurological Disorders (9 papers)

In The Last Decade

Geneieve Tai

25 papers receiving 575 citations

Peers

Geneieve Tai
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 390
  • Molecular Biology 370
  • Neurology 196
  • Pathology and Forensic Medicine 71
  • Cell Biology 59
Replace Hao Chiang with:
Hao Chiang Taiwan
Niranjanan Nirmalananthan United Kingdom
Sandrine Bouillot France
Anu Anttinen Finland
K. Kamakura Japan
Susana Alvarez Denmark
J‐M. Burgunder Switzerland
Fernando Montero Spain
Keiko Toyooka Japan
Yuzuru Tashiro Japan
Geneieve Tai relative to Hao Chiang Taiwan Hao Chiang's profile →
Citations per field
00.5×3.6×
Hao Chiang · 1×
Citations per year

Countries citing papers authored by Geneieve Tai

Since Specialization
Citations

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

Fields of papers citing papers by Geneieve Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geneieve Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Geneieve Tai. A scholar is included among the top collaborators of Geneieve Tai 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 Geneieve Tai. Geneieve Tai 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
#WorkIndexed citations
1 4
2 4
3 8
4 8
5 8
6 28
7 7
8 20
9 7
10 14
11 106
12 17
13 9
14 2
15 2
16 25
17 93
18
The efficacy of the Rességuier method in the treatment of fibromyalgia syndrome: a randomized controlled trial.
8
19 1
20 27

About Geneieve Tai

Geneieve Tai is a scholar working on Cellular and Molecular Neuroscience, Neurology and Psychiatry and Mental health, having authored 25 papers that have together received 584 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Mitochondrial Function and Pathology (12 papers) and Botulinum Toxin and Related Neurological Disorders (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (390 citations), Neurology (196 citations) and Molecular Biology (370 citations). Geneieve Tai has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Martin B. Delatycki, Louise A. Corben, Eppie M. Yiu, Marguerite V. Evans‐Galea, David R. Lynch, Susan Perlman, Felice Galluccio, Susanna Maddali Bongi, Sarah Milne and Javier Arpa. Their work appears in journals such as Neurology, Annals of Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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