Karen E. Parrish
Impact in
Papers in ⓘ
- Co-authors
- William F. Elmquist (15 shared papers)Jann N. Sarkaria (15 shared papers)Rajendar K. Mittapalli (6 shared papers)Terence T. Sio (1 shared paper)Rajneet K. Oberoi (1 shared paper)Katrina K. Bakken (6 shared papers)Janice K. Laramy (5 shared papers)Sani H. Kizilbash (5 shared papers)
- Journals
- Molecular Cancer Therapeutics (5 papers)Journal of Pharmacology and Experimental Therapeutics (5 papers)Biopharmaceutics & Drug Disposition (2 papers)mAbs (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Karen E. Parrish
21 papers receiving 721 citations
Peers
Comparison fields: 5 of 70
- Genetics 276
- Oncology 315
- Biomaterials 96
- Neurology 52
- Cancer Research 84
Countries citing papers authored by Karen E. Parrish
This map shows the geographic impact of Karen E. Parrish'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 Karen E. Parrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen E. Parrish more than expected).
Fields of papers citing papers by Karen E. Parrish
This network shows the impact of papers produced by Karen E. Parrish. 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 Karen E. Parrish. The network helps show where Karen E. Parrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Karen E. Parrish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 217 | |
| 2 | 2015 | 75 | |
| 3 | 2015 | 66 | |
| 4 | 2017 | 60 | |
| 5 | 2018 | 52 | |
| 6 | 2016 | 51 | |
| 7 | 2021 | 36 | |
| 8 | 2018 | 29 | |
| 9 | 2017 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2015 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2016 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 1 |
About Karen E. Parrish
Karen E. Parrish is a scholar working on Oncology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Biomaterials, having authored 21 papers that have together received 734 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Drug Transport and Resistance Mechanisms (5 papers), PARP inhibition in cancer therapy (4 papers), Melanoma and MAPK Pathways (3 papers), Brain Metastases and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Genetics (276 citations), Oncology (315 citations), Biomaterials (96 citations), Neurology (52 citations) and Cancer Research (84 citations). Karen E. Parrish has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include William F. Elmquist, Jann N. Sarkaria, Rajendar K. Mittapalli, Terence T. Sio, Rajneet K. Oberoi, Katrina K. Bakken, Janice K. Laramy, Sani H. Kizilbash, Gautham Gampa and Minjee Kim. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Pharmacology and Experimental Therapeutics, Biopharmaceutics & Drug Disposition, mAbs and Scientific Reports.
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.