Chris D. Green

432 citations
10 papers · 368 indexed · h-index 7
Topics
Estrogen and related hormone effects (6 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)TGF-β signaling in diseases (2 papers)
Partner nations
United KingdomAustralia

In The Last Decade

Chris D. Green

10 papers receiving 359 citations

Peers

Chris D. Green
Comparison fields: 5 of 53
  • Genetics 218
  • Molecular Biology 197
  • Oncology 116
  • Endocrinology, Diabetes and Metabolism 52
  • Nutrition and Dietetics 44
Replace Anne-Laure Rolland with:
Anne-Laure Rolland France
M. Silvina Frech United States
H Ahrens United States
Barbara A. Burkhart United States
Samir M. Shafie United States
Jian-Shen Qi United States
Marcel Garcia France
Brandie N. Radde United States
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Chris D. Green relative to Anne-Laure Rolland France Anne-Laure Rolland's profile →
Citations per field
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Anne-Laure Rolland · 1×
Citations per year

Countries citing papers authored by Chris D. Green

Since Specialization
Citations

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

Fields of papers citing papers by Chris D. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris D. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Chris D. Green. A scholar is included among the top collaborators of Chris D. 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 Chris D. Green. Chris D. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 16
2 5
3 48
4 125
5 2
6 20
7 34
8 2
9 22
10
Serum regulation of the estrogen responsiveness of the human breast cancer cell line MCF-7.
94

About Chris D. Green

Chris D. Green is a scholar working on Toxicology, Genetics and Biochemistry, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Genetics (218 citations), Oncology (116 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Chris D. Green has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Mohamed El‐Tanani, John K. Field, Martin Pagé, Nigel Hoggard, Patrick G. Johnston, Paul D. Thompson, Richard A. McClelland, Julia M.W. Gee, Robert L. Sutherland and Roger W. Blamey. Their work appears in journals such as Molecular Endocrinology, Biochemical Society Transactions and Molecular and Cellular 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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