Susan E. Bray

2.3k citations
40 papers · 1.7k indexed · h-index 20
  • Oncology top 5%
    • Cancer-related Molecular Pathways 17
    • Metabolism, Diabetes, and Cancer 5
    • RNA modifications and cancer 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Retinoids in leukemia and cellular processes 2
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics 2
    • Estrogen and related hormone effects 5
    • Pharmacogenetics and Drug Metabolism 2

Susan E. Bray

38 papers receiving 1.7k citations

Peers

Susan E. Bray
Comparison fields: 5 of 97
  • Cancer Research 405
  • Oncology 711
  • Molecular Biology 1.1k
  • Cell Biology 150
  • Dermatology 76
Replace Hisashi Hirakawa with:
Hisashi Hirakawa Japan
Ashish Juvekar United States
Noa Rivlin Israel
Wei Jin China
Loredana Cleris Italy
Ludovica Ciuffreda Italy
Sandra Pavey Australia
Claude Haan Luxembourg
Erzsébet Rásó Hungary
Debdutta Bandyopadhyay United States
Susan E. Bray relative to Hisashi Hirakawa Japan Hisashi Hirakawa's profile →
Citations per field
00.5×1.7×
Hisashi Hirakawa · 1×
Citations per year

Countries citing papers authored by Susan E. Bray

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Bray. 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 Susan E. Bray. The network helps show where Susan E. Bray may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Susan E. Bray, 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 Susan E. Bray Line = papers co-authored together Susan E. Bray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20231
4 20223
5 20225
6 202115
7 201919
8 201538
9 201289
10 201282
11 2011231
12 201028
13 20106
14 200955
15 2009148
16 200941
17 200843
18 200550
19 20047
20 200083

About Susan E. Bray

Susan E. Bray is a scholar working on Oncology, Aging, Cancer Research, Immunology and Allergy and Molecular Biology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (17 papers), Metabolism, Diabetes, and Cancer (5 papers), Estrogen and related hormone effects (5 papers), RNA modifications and cancer (3 papers), Microtubule and mitosis dynamics (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (711 citations), Molecular Biology (1.1k citations), Cell Biology (150 citations) and Dermatology (76 citations). Susan E. Bray has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Colin A. Purdie, Lee B. Jordan, Alastair M. Thompson, Sirwan Hadad, Philip Quinlan, Gillian Smith, Probir Chakravarty, Michelle Ferguson, Aparajitha Vaidyanathan and Anne‐Louise Gannon. Their work appears in journals such as British Journal of Cancer, Breast Cancer Research, Journal of Clinical Oncology, Oncogene and BMC Cancer.

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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