Gretchen S. Jimenez
Impact in
Papers in
-
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Geoffrey M. Wahl (6 shared papers)Jayne M. Stommel (3 shared papers)Thomas J. Hope (2 shared papers)Natalie D. Marchenko (1 shared paper)Ute M. Moll (1 shared paper)Andrea Bodnár (1 shared paper)Edwin Chang (1 shared paper)Brenda Kusler (1 shared paper)
- Journals
- Nature Genetics (2 papers)Molecular Cell (1 paper)Molecular Biology of the Cell (1 paper)Clinical and Vaccine Immunology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Gretchen S. Jimenez
16 papers receiving 2.4k citations
Gretchen S. Jimenez's Hit Papers
Peers
Comparison fields: 5 of 92
- Aging 68
- Oncology 812
- Biotechnology 228
- Cell Biology 396
- Molecular Biology 1.6k
Countries citing papers authored by Gretchen S. Jimenez
This map shows the geographic impact of Gretchen S. Jimenez'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 S. Jimenez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gretchen S. Jimenez more than expected).
Fields of papers citing papers by Gretchen S. Jimenez
This network shows the impact of papers produced by Gretchen S. Jimenez. 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 S. Jimenez. The network helps show where Gretchen S. Jimenez may publish in the future.
Co-authors
The 25 scholars most cited alongside Gretchen S. Jimenez, 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 | A leucine‐rich nuclear export signal in the p53 tetramerization domain: regulation of subcellular localization and p53 activity by NES masking Hit paper breakdown → | 1999 | 609 |
| 2 | Telomerase expression in human somatic cells does not induce changes associated with a transformed phenotype Hit paper breakdown → | 1999 | 535 |
| 3 | 1998 | 300 | |
| 4 | 2007 | 239 | |
| 5 | 2000 | 172 | |
| 6 | 1999 | 156 | |
| 7 | 1999 | 112 | |
| 8 | 1992 | 99 | |
| 9 | 2007 | 73 | |
| 10 | 2008 | 34 | |
| 11 | 2000 | 28 | |
| 12 | 1995 | 26 | |
| 13 | 2011 | 21 | |
| 14 | 2007 | 13 | |
| 15 | 2013 | 11 | |
| 16 | 1996 | 5 |
About Gretchen S. Jimenez
Gretchen S. Jimenez is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Biotechnology, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (4 papers), Influenza Virus Research Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer Research and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Aging (68 citations), Oncology (812 citations), Biotechnology (228 citations), Cell Biology (396 citations) and Molecular Biology (1.6k citations). Gretchen S. Jimenez has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Geoffrey M. Wahl, Jayne M. Stommel, Thomas J. Hope, Natalie D. Marchenko, Ute M. Moll, Andrea Bodnár, Edwin Chang, Brenda Kusler, Xu‐Rong Jiang and Thea D. Tlsty. Their work appears in journals such as Nature Genetics, Molecular Cell, Molecular Biology of the Cell, Clinical and Vaccine Immunology and Molecular Pharmacology.
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.