Stephen Green

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

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:
Karthik Devarajan United States
Craig Robson United Kingdom
Hugo Ceulemans Belgium
Shinya Sato Japan
Martin Gasser Germany
Mark Waltham Australia
Michael Krauthammer United States
Ευγενία Γιαννοπούλου United States
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Citations per field
00.5×3.5×
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-authorship network

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
#Work
1 20260
2 20221
3 20214
4 20208
5 20181
6 201636
7 2015102
8 2015103
9 20113
10 2009104
11 2008333
12 200832
13
Automatic Generation of Social Tags for Music Recommendation
2007121
14
Preclinical identification of AZD7762, a novel, potent and selective inhibitor of Checkpoint kinases
20073
15 20062
16
AZD1152: A highly potent and specific aurora kinase inhibitor.
20066
17 2005101
18
Aggressive morphology and lexical relations for query expansion
20014
19 19971
20
An Investigation Into the Causal Links Between Attribution Schema and Decision-Making
19786

About Stephen Green

Stephen Green is a scholar working on Issues, ethics and legal aspects, Oncology, Cell Biology, Anesthesiology and Pain Medicine and Geriatrics and Gerontology, 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), Anesthesia and Pain Management (5 papers), Cancer Treatment and Pharmacology (5 papers), DNA Repair Mechanisms (4 papers) and Chronic Lymphocytic Leukemia Research (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, Frédéric Jung, Andrew Mortlock, Nicola M. Heron, Andrew P. Thomas, Anthony Tighe and Stephen S. Taylor. 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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