S. Green

1.8k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Estrogen and related hormone effects (5 papers)DNA and Nucleic Acid Chemistry (2 papers)Chemical Synthesis and Analysis (1 paper)

In The Last Decade

S. Green

7 papers receiving 1.4k citations

Hit Papers

Nuclear receptors enhance our understanding of transcript...19882026200020131988250500750

Peers

S. Green
Comparison fields: 5 of 81
  • Molecular Biology 981
  • Genetics 971
  • Endocrinology, Diabetes and Metabolism 276
  • Cellular and Molecular Neuroscience 197
  • Immunology 174
Replace Pierre Chambon with:
Pierre Chambon France
M. J. Heine France
V Vivat France
J. Don Chen United States
Andreas Hörlein Germany
Twila A. Jackson United States
Juan Inostroza United States
E. Nola Italy
David L. Bain United States
Kulwant K. Kohli United States
S. Green relative to Pierre Chambon France Pierre Chambon's profile →
Citations per field
00.5×1.6×
Pierre Chambon · 1×
Citations per year

Countries citing papers authored by S. Green

Since Specialization
Citations

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

Fields of papers citing papers by S. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Green

This figure shows the co-authorship network connecting the top 25 collaborators of S. Green. A scholar is included among the top collaborators of S. Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Green. S. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 139
3
Chimeric receptors used to probe the DNA-binding domain of the estrogen and glucocorticoid receptors.
9
4 102
5 91
6 204
7
Nuclear receptors enhance our understanding of transcription regulationbreakdown →
914

About S. Green

S. Green is a scholar working on Genetics, Reproductive Medicine and Molecular Biology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), DNA and Nucleic Acid Chemistry (2 papers) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Genetics (971 citations), Endocrinology, Diabetes and Metabolism (276 citations) and Molecular Biology (981 citations). S. Green has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include P. Chambón, Pierre Chambon, Walter Wahli, Vijay Kumar, Diane M. Tasset, Mathurose Ponglikitmongkol, Ferdinando Auricchio, Antimo Migliaccio, Marina Di Domenico and Francesco Blasi. Their work appears in journals such as The EMBO Journal, Trends in Genetics and Molecular Endocrinology.

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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