Lesley‐Ann Sutton

27 papers receiving 668 citations

Peers

Lesley‐Ann Sutton
Comparison fields: 5 of 53
  • Genetics 444
  • Pathology and Forensic Medicine 363
  • Immunology 259
  • Hematology 56
  • Oncology 113
Replace Andreas Braeuninger with:
Andreas Braeuninger Germany
Trine Lindhardt Plesner Denmark
Laurens P. Kil Netherlands
Johannes Bloehdorn Germany
Antonis Dagklis Italy
Emanuela Carlotti United Kingdom
Nadia Peragine Italy
Lisa Durkin United States
Maite P. Quiroga United States
Silvia Zibellini Italy
Lesley‐Ann Sutton relative to Andreas Braeuninger Germany Andreas Braeuninger's profile →
Citations per field
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Andreas Braeuninger · 1×
Citations per year

Countries citing papers authored by Lesley‐Ann Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Lesley‐Ann Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lesley‐Ann Sutton. 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 Lesley‐Ann Sutton. The network helps show where Lesley‐Ann Sutton may publish in the future.

Co-authors

The 25 scholars most cited alongside Lesley‐Ann Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lesley‐Ann Sutton Line = papers co-authored together Lesley‐Ann Sutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2 2018120
3 200956
4 201442
5 201841
6 201337
7 201632
8 201430
9 201525
10 202025
11 201223
12 201323
13 202020
14 201311
15 201711
16 201210
17 20186
18 20145
19 20185
20 20144

About Lesley‐Ann Sutton

Lesley‐Ann Sutton is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Oncology, having authored 29 papers that have together received 672 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (17 papers), Immunodeficiency and Autoimmune Disorders (13 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Breast Cancer Therapies (3 papers), Glycosylation and Glycoproteins Research (3 papers), Viral-associated cancers and disorders (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (444 citations), Pathology and Forensic Medicine (363 citations), Immunology (259 citations), Hematology (56 citations) and Oncology (113 citations). Lesley‐Ann Sutton has collaborated with scholars based in Sweden, Greece and Italy. Frequent co-authors include Richard Rosenquist, Κώστας Σταματόπουλος, Karin E. Smedby, Eva Baecklund, Johan Askling, Paolo Ghia, Αchilles Anagnostopoulos, Nikos Darzentas, Frédéric Davi and Šárka Pospı́šilová. Their work appears in journals such as Blood, Haematologica, Leukemia, Seminars in Cancer Biology and Molecular Medicine.

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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