Faye Sharpley

1.4k total citations
33 papers, 529 citations indexed

About

Faye Sharpley is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Faye Sharpley has authored 33 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Hematology. Recurrent topics in Faye Sharpley's work include Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers), Multiple Myeloma Research and Treatments (11 papers) and Cancer Treatment and Pharmacology (6 papers). Faye Sharpley is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers), Multiple Myeloma Research and Treatments (11 papers) and Cancer Treatment and Pharmacology (6 papers). Faye Sharpley collaborates with scholars based in United Kingdom, United States and Italy. Faye Sharpley's co-authors include Ashutosh Wechalekar, Shameem Mahmood, Sajitha Sachchithanantham, Helen J. Lachmann, Philip N. Hawkins, Julian D. Gillmore, Carol Whelan, Richa Manwani, Marianna Fontana and Cristina Quarta and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Faye Sharpley

28 papers receiving 518 citations

Peers

Faye Sharpley
Comparison fields: 5 of 44
  • Molecular Biology 378
  • Hematology 158
  • Oncology 135
  • Genetics 132
  • Infectious Diseases 83
Replace Claudia Schubert with:
Claudia Schubert Germany
Jesus Abraham Simón Campos United States
Norimasa Yasuda Japan
R Gallimore United Kingdom
Zorana Grubić Croatia
Steven L. Maki United States
Baldeep Wirk United States
Ahmet Genç Türkiye
Luydson Richardson Silva Vasconcelos Brazil
Naohiro Uchida Japan
Claudia Schubert Germany View profile →
Citations per field, relative to Faye Sharpley
Faye Sharpley · 1×
Citations per year, relative to Faye Sharpley
Faye Sharpley · 1×

Countries citing papers authored by Faye Sharpley

Since Specialization
Citations

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

Fields of papers citing papers by Faye Sharpley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Sharpley

This figure shows the co-authorship network connecting the top 25 collaborators of Faye Sharpley. A scholar is included among the top collaborators of Faye Sharpley 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 Faye Sharpley. Faye Sharpley 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 2
2 1
3 28
4 4
5 25
6 2
7 14
8 36
9 12
10 10
11 2
12 4
13 10
14 0
15
Assessment of Treatment Response in Cardiac AL Amyloidosis Using CMR Mapping - Results at 3 Months, 6 Months and 1 Year Post-Chemotherapy
1
16 12
17 0
18 30
19 1
20 107

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026