Stephen N. Birrell

3.2k citations
34 papers · 1.8k · h-index 18

Impact in

Papers in

    • Estrogen and related hormone effects 17
    • Cancer Treatment and Pharmacology 3
    • Cancer-related Molecular Pathways 3
    • HER2/EGFR in Cancer Research 3

Stephen N. Birrell

32 papers receiving 1.7k citations

Peers

Stephen N. Birrell
Comparison fields: 5 of 95
  • Cancer Research 497
  • Genetics 747
  • Oncology 599
  • Pulmonary and Respiratory Medicine 472
  • Endocrinology, Diabetes and Metabolism 235
Replace Elizabeth Anderson with:
Elizabeth Anderson United Kingdom
Gun Anker Norway
David G. Cox United States
Yuri Yamaguchi Japan
Rosemary E. Hall Australia
Doug Easton United Kingdom
Georg Pfeiler Austria
Hannelore V. Heemers United States
Jos Veldscholte Netherlands
Eiji Kashiwagi Japan
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Citations per field
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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

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009309
2 1995220
3 2010193
4 1998111
5 199992
6 201888
7 199483
8 199577
9 201577
10 201273
11 201866
12 200860
13 200558
14 201758
15 199847
16 202129
17 202026
18 202425
19 201317
20 200913

About Stephen N. Birrell

Stephen N. Birrell is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Breast Cancer Treatment Studies (7 papers), Prostate Cancer Treatment and Research (6 papers), Breast Lesions and Carcinomas (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer-related Molecular Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (497 citations), Genetics (747 citations), Oncology (599 citations), Pulmonary and Respiratory Medicine (472 citations) and Endocrinology, Diabetes and Metabolism (235 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, Theresa E. Hickey, Gail P. Risbridger, Ian D. Davis, Debbie Horsfall, Lisa M. Butler and Tina Bianco‐Miotto. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, The Journal of Steroid Biochemistry and Molecular Biology, ANZ Journal of Surgery and Supportive Care in 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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