Brian G. Stultz
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
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- Developmental Biology and Gene Regulation 11
- Pluripotent Stem Cells Research 5
- TGF-β signaling in diseases 3
- Wnt/β-catenin signaling in development and cancer 3
- Renal and related cancers 2
- Epigenetics and DNA Methylation 2
-
- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Deborah A. Hursh (15 shared papers)Elaine E. Thompson (2 shared papers)Jin‐Tang Dong (2 shared papers)Ceshi Chen (2 shared papers)Jessica Lo Surdo (1 shared paper)Kathleen A. McGinnis (1 shared paper)Steven R. Bauer (1 shared paper)Henry F. Frierson (1 shared paper)
- Journals
- Developmental Biology (4 papers)Oncogene (2 papers)Cytotherapy (2 papers)Fly (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesSouth KoreaPoland
In The Last Decade
Brian G. Stultz
17 papers receiving 323 citations
Peers
Comparison fields: 5 of 62
- Genetics 82
- Aging 6
- Molecular Biology 220
- Cell Biology 35
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Brian G. Stultz
This map shows the geographic impact of Brian G. Stultz'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 Brian G. Stultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian G. Stultz more than expected).
Fields of papers citing papers by Brian G. Stultz
This network shows the impact of papers produced by Brian G. Stultz. 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 Brian G. Stultz. The network helps show where Brian G. Stultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian G. Stultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | Deletion at 13q21 is associated with aggressive prostate cancers. | 2000 | 45 |
| 3 | 2016 | 30 | |
| 4 | 2007 | 26 | |
| 5 | 2001 | 24 | |
| 6 | 2005 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2006 | 20 | |
| 9 | 2006 | 15 | |
| 10 | 2012 | 14 | |
| 11 | 2010 | 14 | |
| 12 | 2005 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2012 | 5 | |
| 15 | 2016 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2015 | 1 |
About Brian G. Stultz
Brian G. Stultz is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Plant Science, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Pluripotent Stem Cells Research (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), TGF-β signaling in diseases (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Animal Genetics and Reproduction (2 papers), Renal and related cancers (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (82 citations), Aging (6 citations), Molecular Biology (220 citations), Cell Biology (35 citations) and Cellular and Molecular Neuroscience (37 citations). Brian G. Stultz has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Deborah A. Hursh, Elaine E. Thompson, Jin‐Tang Dong, Ceshi Chen, Jessica Lo Surdo, Kathleen A. McGinnis, Steven R. Bauer, Henry F. Frierson, Mark A. Mortin and John T. Isaacs. Their work appears in journals such as Developmental Biology, Oncogene, Cytotherapy, Fly and Advances in experimental medicine and biology.
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.