Fiona Lewis

1.6k total citations
33 papers, 1.1k citations indexed

About

Fiona Lewis is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Fiona Lewis has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 10 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Fiona Lewis's work include Tissue Engineering and Regenerative Medicine (12 papers), Fatty Acid Research and Health (6 papers) and Mesenchymal stem cell research (5 papers). Fiona Lewis is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Fatty Acid Research and Health (6 papers) and Mesenchymal stem cell research (5 papers). Fiona Lewis collaborates with scholars based in United Kingdom, Italy and France. Fiona Lewis's co-authors include Georgina M. Ellison, T. A. B. Sanders, Daniele Torella, Margaret Griffin, Bruce A. Griffin, D. J. Millward, Suzanne Slaughter, Jackie A. Cooper, George J. Miller and Ian G. Davies and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fiona Lewis

32 papers receiving 1.1k citations

Peers

Fiona Lewis
Comparison fields: 5 of 105
  • Molecular Biology 358
  • Physiology 287
  • Surgery 267
  • Nutrition and Dietetics 261
  • Cardiology and Cardiovascular Medicine 183
Replace Hiroshi Kawakami with:
Hiroshi Kawakami Japan
John M. Hayden United States
G Scibilia Italy
Noriyuki Homma Japan
Meng Dong China
Roslyn M. London United States
Tongxing Song China
Anna Casselbrant Sweden
Ana Sandoval-Rodríguez Mexico
Hiroshi Kawakami Japan View profile →
Citations per field, relative to Fiona Lewis
Fiona Lewis · 1×
Citations per year, relative to Fiona Lewis
Fiona Lewis · 1×

Countries citing papers authored by Fiona Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Lewis. A scholar is included among the top collaborators of Fiona Lewis 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 Fiona Lewis. Fiona Lewis 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 2
4 9
5 236
6 45
7 27
8 33
9 15
10 18
11 17
12 20
13 88
14 4
15 79
16 2
17 52
18 156
19
A support initiative for nursing homes.
2
20 1

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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