Tanya Seward

1.6k total citations
20 papers, 1.2k citations indexed

About

Tanya Seward is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tanya Seward has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tanya Seward's work include Prion Diseases and Protein Misfolding (11 papers), Neurological diseases and metabolism (6 papers) and Circadian rhythm and melatonin (4 papers). Tanya Seward is often cited by papers focused on Prion Diseases and Protein Misfolding (11 papers), Neurological diseases and metabolism (6 papers) and Circadian rhythm and melatonin (4 papers). Tanya Seward collaborates with scholars based in United States and Canada. Tanya Seward's co-authors include Glenn C. Telling, Shawn Browning, Edward A. Hoover, Rachel Angers, Dana Napier, Michael W. Miller, Jean E. Jewell, Candace K. Mathiason, Claudio Soto and Joaquı́n Castilla and has published in prestigious journals such as Science, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Tanya Seward

20 papers receiving 1.2k citations

Peers

Tanya Seward
Comparison fields: 5 of 77
  • Molecular Biology 1.1k
  • Neurology 498
  • Nutrition and Dietetics 361
  • Physiology 172
  • Endocrine and Autonomic Systems 94
Replace H. B. Parry with:
H. B. Parry United Kingdom
Adrian Centers United States
K A Bowman United States
Véronique De Smedt France
Janice S. Bailey United States
Azucena Lemus United States
Hongwei Dou China
Jaroslawna Meister United States
Denise Grébert France
Marco Sbriccoli Italy
H. B. Parry United Kingdom View profile →
Citations per field, relative to Tanya Seward
Tanya Seward · 1×
Citations per year, relative to Tanya Seward
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Countries citing papers authored by Tanya Seward

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Seward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Seward

This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Seward. A scholar is included among the top collaborators of Tanya Seward 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 Tanya Seward. Tanya Seward 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 5
2 4
3 7
4 11
5 2
6 1
7 7
8 4
9 116
10 180
11 22
12 112
13 101
14 70
15 48
16 158
17 17
18 121
19 102
20 150

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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