Stephen Green

4.9k citations
89 papers · 3.3k · h-index 29

Impact in

    • Microtubule and mitosis dynamics
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • PI3K/AKT/mTOR signaling in cancer 13
    • DNA Repair Mechanisms 4
    • Cancer therapeutics and mechanisms 4
    • Cancer-related Molecular Pathways 12
    • Cancer Treatment and Pharmacology 5

Stephen Green

84 papers receiving 3.2k citations

Peers

Stephen Green
Comparison fields: 5 of 149
  • Cell Biology 754
  • Oncology 972
  • Molecular Biology 1.8k
  • Cancer Research 253
  • Genetics 129
Replace Karthik Devarajan with:
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Hugo Ceulemans Belgium
Shinya Sato Japan
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Stephen Green

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008333
2 2007278
3 2010254
4 1996218
5 1997146
6
Automatic Generation of Social Tags for Music Recommendation
2007121
7 2017121
8 2009104
9 2015103
10 2015102
11 2005101
12 200495
13 200395
14
Trichothiodystrophy, a human DNA repair disorder with heterogeneity in the cellular response to ultraviolet light.
198888
15 200374
16 199768
17 201466
18 200562
19 199155
20 198655

About Stephen Green

Stephen Green is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 89 papers that have together received 3.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (13 papers), Cancer-related Molecular Pathways (12 papers), Microtubule and mitosis dynamics (10 papers), Advanced Breast Cancer Therapies (7 papers), Cancer Treatment and Pharmacology (5 papers), Anesthesia and Pain Management (5 papers), DNA Repair Mechanisms (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Cell Biology (754 citations), Oncology (972 citations), Molecular Biology (1.8k citations), Cancer Research (253 citations) and Genetics (129 citations). Stephen Green has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Sabina Cosulich, Kate F. Byth, Paul R. Clarke, Robert W. Wilkinson, Nicola M. Heron, Frédéric Jung, Andrew Mortlock, Andrew P. Thomas, Stefano Santaguida and Anthony Tighe. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Molecular Cancer Therapeutics, The American Journal of Cardiology and Journal of the American College of Cardiology.

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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