Sharon A. Pawlowski

5.0k total citations · 2 hit papers
8 papers, 4.1k citations indexed

About

Sharon A. Pawlowski is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Sharon A. Pawlowski has authored 8 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in Sharon A. Pawlowski's work include Tissue Engineering and Regenerative Medicine (2 papers), Connective tissue disorders research (2 papers) and TGF-β signaling in diseases (2 papers). Sharon A. Pawlowski is often cited by papers focused on Tissue Engineering and Regenerative Medicine (2 papers), Connective tissue disorders research (2 papers) and TGF-β signaling in diseases (2 papers). Sharon A. Pawlowski collaborates with scholars based in United States and United Kingdom. Sharon A. Pawlowski's co-authors include Thomas Doetschman, Moying Yin, Gabriele Proetzel, Ilona Ormsby, Ronald J. Diebold, Ann B. Kier, C L Sidman, Ruth D. Allen, Marcia M. Shull and Gregory P. Boivin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sharon A. Pawlowski

8 papers receiving 4.1k citations

Hit Papers

Targeted disruption of the mouse transforming growth fact... 1992 2026 2003 2014 1992 1995 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sharon A. Pawlowski United States 8 2.5k 957 810 740 419 8 4.1k
Moying Yin United States 14 2.3k 0.9× 980 1.0× 787 1.0× 756 1.0× 339 0.8× 22 3.9k
Ilona Ormsby United States 18 2.8k 1.1× 1.3k 1.3× 712 0.9× 971 1.3× 493 1.2× 24 4.9k
Gabriele Proetzel United States 14 2.2k 0.9× 963 1.0× 710 0.9× 686 0.9× 319 0.8× 22 3.7k
Virginia C. Broudy United States 17 2.0k 0.8× 1.2k 1.2× 414 0.5× 1.3k 1.8× 299 0.7× 32 4.8k
Ronald J. Diebold United States 11 1.7k 0.7× 966 1.0× 373 0.5× 608 0.8× 265 0.6× 11 3.3k
Su‐Li Cheng United States 32 2.4k 0.9× 314 0.3× 732 0.9× 682 0.9× 478 1.1× 53 4.4k
Erika Gustafsson Sweden 25 2.5k 1.0× 564 0.6× 472 0.6× 558 0.8× 591 1.4× 34 4.7k
Marcia M. Shull United States 6 1.7k 0.7× 874 0.9× 375 0.5× 615 0.8× 307 0.7× 7 3.1k
Jun Fujita Japan 34 2.4k 1.0× 592 0.6× 530 0.7× 597 0.8× 1.4k 3.3× 133 4.5k
Deborah L. French United States 38 2.4k 1.0× 1.0k 1.1× 539 0.7× 741 1.0× 676 1.6× 134 5.3k

Countries citing papers authored by Sharon A. Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Sharon A. Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon A. Pawlowski. 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 Sharon A. Pawlowski. The network helps show where Sharon A. Pawlowski may publish in the future.

Co-authorship network of co-authors of Sharon A. Pawlowski

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

All Works

8 of 8 papers shown
1.
Azhar, Mohamad, Raymond B. Runyan, Lynn Sanford, et al.. (2009). Ligand‐specific function of transforming growth factor beta in epithelial‐mesenchymal transition in heart development. Developmental Dynamics. 238(2). 431–442. 100 indexed citations
2.
Azhar, Mohamad, Moying Yin, Ramireddy Bommireddy, et al.. (2009). Generation of mice with a conditional allele for transforming growth factor beta 1 gene. genesis. 47(6). 423–431. 40 indexed citations
3.
Engle, Sandra J., Ilona Ormsby, Sharon A. Pawlowski, et al.. (2002). Elimination of colon cancer in germ-free transforming growth factor beta 1-deficient mice.. PubMed. 62(22). 6362–6. 166 indexed citations
4.
Schultz, Jo El J., Sandra A. Witt, Michelle L. Nieman, et al.. (1999). Fibroblast growth factor-2 mediates pressure-induced hypertrophic response. Journal of Clinical Investigation. 104(6). 709–719. 138 indexed citations
5.
Zhou, Ming, Roy L. Sutliff, Richard J. Paul, et al.. (1998). Fibroblast growth factor 2 control of vascular tone. Nature Medicine. 4(2). 201–207. 295 indexed citations
6.
Kumar, Ajit, Kelly Crawford, Marisa Nia Madison, et al.. (1997). Rescue of cardiac α-actin-deficient mice by enteric smooth muscle γ-actin. Proceedings of the National Academy of Sciences. 94(9). 4406–4411. 165 indexed citations
7.
Proetzel, Gabriele, Sharon A. Pawlowski, Michael V. Wiles, et al.. (1995). Transforming growth factor–β3 is required for secondary palate fusion. Nature Genetics. 11(4). 409–414. 759 indexed citations breakdown →
8.
Shull, Marcia M., Ilona Ormsby, Ann B. Kier, et al.. (1992). Targeted disruption of the mouse transforming growth factor-β1 gene results in multifocal inflammatory disease. Nature. 359(6397). 693–699. 2482 indexed citations breakdown →

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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