Shawn T. Estrem

4.1k citations
30 papers · 2.6k indexed · 1 hit paper · h-index 22
Topics
TGF-β signaling in diseases (7 papers)Pancreatic and Hepatic Oncology Research (7 papers)Bacterial Genetics and Biotechnology (5 papers)

In The Last Decade

Shawn T. Estrem

28 papers receiving 2.6k citations

Hit Papers

Clinical development of galunisertib (LY2157299 monohydra...20152026201820222015100200300400

Peers

Shawn T. Estrem
Comparison fields: 5 of 111
  • Molecular Biology 1.6k
  • Oncology 1.0k
  • Genetics 572
  • Immunology 405
  • Cancer Research 302
Replace Santiago Cal with:
Santiago Cal Spain
Stefan Grünert Austria
Chloé C. Féral France
Christine Varon France
Hideki Makinoshima Japan
Helmut Burtscher Germany
Ioannis S. Pateras Greece
Stefan Vermeulen Belgium
Joerg Heyer United States
Laura L. McCormick United States
Shawn T. Estrem relative to Santiago Cal Spain Santiago Cal's profile →
Citations per field
00.5×2.9×
Santiago Cal · 1×
Citations per year

Countries citing papers authored by Shawn T. Estrem

Since Specialization
Citations

This map shows the geographic impact of Shawn T. Estrem'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 Shawn T. Estrem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn T. Estrem more than expected).

Fields of papers citing papers by Shawn T. Estrem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn T. Estrem. 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 Shawn T. Estrem. The network helps show where Shawn T. Estrem may publish in the future.

Co-authorship network of co-authors of Shawn T. Estrem

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 4
4 36
5 46
6 94
7 26
8 224
9 200
10 91
11 160
12 58
13 9
14 0
15 151
16 172
17 24
18 244
19 28
20 36

About Shawn T. Estrem

Shawn T. Estrem is a scholar working on Oncology, Genetics and Molecular Biology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Oncology (1.0k citations), Molecular Biology (1.6k citations) and Genetics (572 citations). Shawn T. Estrem has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Tamás Gaál, Richard L. Gourse, Wilma Ross, Ivelina Gueorguieva, Ann Cleverly, Karim A. Benhadji, Michael Lahn, Susan C. Guba, Kyla Driscoll and Stephan Herbertz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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