Stephen N. Birrell

3.1k citations
34 papers · 1.7k indexed · h-index 18

Impact in

Papers in

Stephen N. Birrell

32 papers receiving 1.7k citations

Peers

Stephen N. Birrell
Comparison fields: 5 of 94
  • Cancer Research 591
  • Genetics 902
  • Oncology 769
  • Pulmonary and Respiratory Medicine 551
  • Endocrinology, Diabetes and Metabolism 252
Replace Elizabeth Anderson with:
Elizabeth Anderson United Kingdom
Atanas Ignatov Germany
Matthew H. Herynk United States
Jos Veldscholte Netherlands
Andrea R. Daniel United States
Doug Easton United Kingdom
Eiji Kashiwagi Japan
Pamela Guglielmini Italy
Michael E. Grossmann United States
Tanja Ignatov Germany
Stephen N. Birrell relative to Elizabeth Anderson United Kingdom Elizabeth Anderson's profile →
Citations per field
00.5×2.7×
Elizabeth Anderson · 1×
Citations per year

Countries citing papers authored by Stephen N. Birrell

Since Specialization
Citations

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

Fields of papers citing papers by Stephen N. Birrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen N. Birrell. 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 Stephen N. Birrell. The network helps show where Stephen N. Birrell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202420
3 202011
4 202025
5 201862
6 201758
7 20142
8 201317
9 20123
10 2010192
11 2009309
12
Androgen receptor inhibits estrogen receptor-A activity and is prognostic in breast cancer
20090
13 20066
14 200557
15 20028
16 1998111
17 19967
18 1995218
19 199577
20 199481

About Stephen N. Birrell

Stephen N. Birrell is a scholar working on Cancer Research, Genetics, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (20 papers), Breast Cancer Treatment Studies (11 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Treatment and Pharmacology (5 papers), Menopause: Health Impacts and Treatments (4 papers), Breast Lesions and Carcinomas (4 papers), Advanced Breast Cancer Therapies (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Cancer Research (591 citations), Genetics (902 citations), Oncology (769 citations), Pulmonary and Respiratory Medicine (551 citations) and Endocrinology, Diabetes and Metabolism (252 citations). Stephen N. Birrell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Wayne D. Tilley, Rosemary E. Hall, Jacqueline M. Bentel, Carmela Ricciardelli, Ian D. Davis, Theresa E. Hickey, Gail P. Risbridger, Debbie Horsfall, Lisa M. Butler and Tina Bianco‐Miotto. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, ANZ Journal of Surgery, Supportive Care in Cancer and The Journal of Steroid Biochemistry and Molecular Biology.

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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