Stephen Green

4.9k citations
90 papers · 3.5k · h-index 30

Impact in

    • Microtubule and mitosis dynamics
  • Oncology top 2%
    • Cancer-related Molecular Pathways

Papers in

    • PI3K/AKT/mTOR signaling in cancer 13
    • DNA Repair Mechanisms 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Cancer therapeutics and mechanisms 4
    • Cancer-related Molecular Pathways 10
    • Cancer Treatment and Pharmacology 5

Stephen Green

84 papers receiving 3.3k citations

Peers

Stephen Green
Comparison fields: 5 of 154
  • Cell Biology 759
  • Oncology 918
  • Molecular Biology 1.8k
  • Cancer Research 230
  • Genetics 124
Replace Karthik Devarajan with:
Karthik Devarajan United States
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Citations per field
00.5×3.7×
Karthik Devarajan · 1×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008343
2 2007288
3 2010260
4 1996224
5 1997153
6
Automatic Generation of Social Tags for Music Recommendation
2007133
7 2017130
8 2009107
9 2005106
10 2015105
11 2015105
12 2003103
13 2004102
14
Trichothiodystrophy, a human DNA repair disorder with heterogeneity in the cellular response to ultraviolet light.
198896
15 200379
16 199775
17 201467
18 200565
19 198661
20 199157

About Stephen Green

Stephen Green is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cell Biology, having authored 90 papers that have together received 3.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (13 papers), Cancer-related Molecular Pathways (10 papers), Microtubule and mitosis dynamics (10 papers), Advanced Breast Cancer Therapies (7 papers), Cancer Treatment and Pharmacology (5 papers), DNA Repair Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Cell Biology (759 citations), Oncology (918 citations), Molecular Biology (1.8k citations), Cancer Research (230 citations) and Genetics (124 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, Andrew Mortlock, Frédéric Jung, Nicola M. Heron, Andrew P. Thomas, Anthony Tighe and Clifford D. Jones. 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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