Gretchen M. Unger
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 8
- Protein Kinase Regulation and GTPase Signaling 7
- Cell death mechanisms and regulation 4
- Ubiquitin and proteasome pathways 3
- Oncology top 10%
- Cancer-related Molecular Pathways 7
- Cancer Research top 10%
- Cell Biology top 10%
- Cellular Mechanics and Interactions 3
- Toxicology top 10%
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- Cell Adhesion Molecules Research 4
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- Virus-based gene therapy research 3
- Co-authors
- Khalil AhmedJoel W. SlatonJaneen H. TrembleyGuixia WangKashif AhmadBetsy T. KrenVicci L. KormanCarter Van Waes
- Journals
- Journal of Cellular Physiology (2 papers)Molecular and Cellular Biochemistry (2 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesHungaryItaly
In The Last Decade
Gretchen M. Unger
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Oncology 438
- Cancer Research 181
- Cell Biology 154
- Toxicology 31
Countries citing papers authored by Gretchen M. Unger
This map shows the geographic impact of Gretchen M. Unger'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 Gretchen M. Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gretchen M. Unger more than expected).
Fields of papers citing papers by Gretchen M. Unger
This network shows the impact of papers produced by Gretchen M. Unger. 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 Gretchen M. Unger. The network helps show where Gretchen M. Unger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gretchen M. Unger, 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 | 2017 | 11 | |
| 2 | 2017 | 7 | |
| 3 | 2015 | 58 | |
| 4 | 2014 | 25 | |
| 5 | 2014 | 16 | |
| 6 | Tenfibgen-DMAT Nanocapsule Delivers CK2 Inhibitor DMAT to Prostate Cancer Xenograft Tumors Causing Inhibition of Cell Proliferation. | 2014 | 10 |
| 7 | 2011 | 33 | |
| 8 | 2011 | 30 | |
| 9 | 2010 | 71 | |
| 10 | 2010 | 166 | |
| 11 | 2009 | 302 | |
| 12 | 2009 | 88 | |
| 13 | 2008 | 213 | |
| 14 | 2006 | 32 | |
| 15 | 2005 | 95 | |
| 16 | 2005 | 114 | |
| 17 | 2005 | 42 | |
| 18 | 2004 | 109 | |
| 19 | 1999 | 69 | |
| 20 | 1998 | 12 |
About Gretchen M. Unger
Gretchen M. Unger is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer-related Molecular Pathways (7 papers), Cell death mechanisms and regulation (4 papers), Cell Adhesion Molecules Research (4 papers), Virus-based gene therapy research (3 papers), Cellular Mechanics and Interactions (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Oncology (438 citations) and Cancer Research (181 citations). Gretchen M. Unger has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Khalil Ahmed, Joel W. Slaton, Janeen H. Trembley, Guixia Wang, Kashif Ahmad, Betsy T. Kren, Vicci L. Korman, Carter Van Waes, Alan R. Davis and Zhong Chen. Their work appears in journals such as Journal of Cellular Physiology, Molecular and Cellular Biochemistry, The Journal of Urology, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.