Jacqueline Taylor

1.6k citations
25 papers · 1.1k indexed · h-index 18
Topics
Muscle Physiology and Disorders (10 papers)Adipose Tissue and Metabolism (6 papers)Estrogen and related hormone effects (4 papers)

In The Last Decade

Jacqueline Taylor

25 papers receiving 1.1k citations

Peers

Jacqueline Taylor
Comparison fields: 5 of 80
  • Molecular Biology 716
  • Genetics 497
  • Oncology 211
  • Cardiology and Cardiovascular Medicine 128
  • Cellular and Molecular Neuroscience 117
Replace Suk-Hyun Hong with:
Suk-Hyun Hong United States
David M. Flavell United Kingdom
Patricia Sheppard Canada
Sarah L. Sawyer Canada
Sebastian A. Lewandowski Sweden
John Le Lay United States
Maria Silvia Giretti Italy
Caroline Treins France
Alison J. Coffey United Kingdom
Jacqueline Taylor relative to Suk-Hyun Hong United States Suk-Hyun Hong's profile →
Citations per field
00.5×5.6×
Suk-Hyun Hong · 1×
Citations per year

Countries citing papers authored by Jacqueline Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Taylor. A scholar is included among the top collaborators of Jacqueline Taylor 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 Jacqueline Taylor. Jacqueline Taylor 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 1
2 17
3 45
4 33
5 21
6 3
7 22
8 196
9 14
10 46
11 27
12 100
13 19
14 23
15 3
16 40
17 39
18 57
19 66
20 26

About Jacqueline Taylor

Jacqueline Taylor is a scholar working on Toxicology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (6 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Genetics (497 citations), Molecular Biology (716 citations) and Oncology (211 citations). Jacqueline Taylor has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Simak Ali, Paul Pace, R. Charles Coombes, Caroline A. Sewry, Victor Dubowitz, Francesco Muntoni, Richard J. Epstein, Frances V. Fuller-Pace, Jean‐Marc Egly and Naveed Sarwar. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Brain.

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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