Pamela Williams

3.9k citations
40 papers · 2.9k indexed · 1 hit paper · h-index 24
Topics
Muscle Physiology and Disorders (13 papers)Cardiomyopathy and Myosin Studies (8 papers)Bone fractures and treatments (5 papers)

In The Last Decade

Pamela Williams

38 papers receiving 2.8k citations

Hit Papers

Changes in sarcomere length and physiological properties ...19782026199420101978100200300400

Peers

Pamela Williams
Comparison fields: 5 of 123
  • Molecular Biology 954
  • Biomedical Engineering 781
  • Surgery 758
  • Orthopedics and Sports Medicine 660
  • Psychiatry and Mental health 357
Replace Tânia F. Salvini with:
Tânia F. Salvini Brazil
Hiroyuki Enomoto Japan
Hideshige Moriya Japan
L.‐E. Thornell Sweden
Nancy H. McKee Canada
Wendy King United States
Matthew B. Dobbs United States
Simonetta Ausoni Italy
Martin Flück Switzerland
Frank Spaans Netherlands
Pamela Williams relative to Tânia F. Salvini Brazil Tânia F. Salvini's profile →
Citations per field
00.5×1.5×
Tânia F. Salvini · 1×
Citations per year

Countries citing papers authored by Pamela Williams

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Williams. A scholar is included among the top collaborators of Pamela Williams 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 Pamela Williams. Pamela Williams 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 2
2 33
3 20
4 90
5 37
6 23
7 62
8 21
9 11
10 11
11 42
12 5
13 22
14 120
15 42
16 223
17 166
18 85
19 7
20 56

About Pamela Williams

Pamela Williams is a scholar working on Immunology and Allergy, Developmental Biology and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 2.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Cardiomyopathy and Myosin Studies (8 papers) and Bone fractures and treatments (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (660 citations), Rehabilitation (343 citations) and Psychiatry and Mental health (357 citations). Pamela Williams has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include G. Goldspink, Geoffrey Goldspink, Hamish Simpson, J. Kenwright, Peter Kyberd, Rebecca Hill, Dominic J. Wells, Peter Watt, David F. Goldspink and George E. Griffin. Their work appears in journals such as The Lancet, Journal of Cell Science and Journal of Allergy and Clinical Immunology.

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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