Stephen M. Twigg

807 total citations
10 papers, 704 citations indexed

About

Stephen M. Twigg is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Stephen M. Twigg has authored 10 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Rheumatology. Recurrent topics in Stephen M. Twigg's work include Connective Tissue Growth Factor Research (8 papers), Connective tissue disorders research (6 papers) and TGF-β signaling in diseases (2 papers). Stephen M. Twigg is often cited by papers focused on Connective Tissue Growth Factor Research (8 papers), Connective tissue disorders research (6 papers) and TGF-β signaling in diseases (2 papers). Stephen M. Twigg collaborates with scholars based in Australia and United States. Stephen M. Twigg's co-authors include Ho-Seong Kim, Youngman Oh, Junko Tsubaki, Michelle Chen, Alison Joly, Ron G. Rosenfeld, Josephine M. Forbes, Josefa Pete, Vicki Thallas‐Bonke and Christos Tikellis and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Endocrinology and Journal of the American Society of Nephrology.

In The Last Decade

Stephen M. Twigg

10 papers receiving 692 citations

Peers

Stephen M. Twigg
Comparison fields: 5 of 77
  • Molecular Biology 394
  • Nephrology 131
  • Clinical Biochemistry 119
  • Physiology 103
  • Pulmonary and Respiratory Medicine 94
Replace Maria Aminoff with:
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Ryuichiro Murakami Japan
Ken-ichiro Tanaka Japan
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Dickson W.L. Wong Germany
Maria Aminoff Finland View profile →
Citations per field, relative to Stephen M. Twigg
Stephen M. Twigg · 1×
Citations per year, relative to Stephen M. Twigg
Stephen M. Twigg · 1×

Countries citing papers authored by Stephen M. Twigg

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Twigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Twigg

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Twigg. A scholar is included among the top collaborators of Stephen M. Twigg 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 Stephen M. Twigg. Stephen M. Twigg 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
# Work Indexed citations
1 1
2 83
3 222
4 40
5 81
6
Insulin-Like Growth Factor-Binding Protein 3 Induces Caspase-Dependent Apoptosis through a Death Receptor-Mediated Pathway in MCF-7 Human Breast Cancer Cells
17
7 19
8 88
9 126
10 27

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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