Karen E. Parrish

1.1k citations
22 papers · 750 · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • PARP inhibition in cancer therapy

Papers in

    • Drug Transport and Resistance Mechanisms 5
    • PARP inhibition in cancer therapy 4
    • Glioma Diagnosis and Treatment 10

Karen E. Parrish

21 papers receiving 741 citations

Peers

Karen E. Parrish
Comparison fields: 5 of 69
  • Genetics 245
  • Oncology 284
  • Biomaterials 88
  • Neurology 50
  • Cancer Research 67
Replace Janice K. Laramy with:
Janice K. Laramy United States
Levi C.M. Buil Netherlands
Kaci A. Bohn United States
Constantinos Alifieris Greece
Jenny L. Pokorny United States
Lauren Schaff United States
Niyati Jhaveri United States
Youxin Zhou China
Luiz Gustavo Dubois Brazil
Lina Leiss Norway
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Citations per field
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Janice K. Laramy · 1×
Citations per year

Countries citing papers authored by Karen E. Parrish

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Karen E. Parrish Line = papers co-authored together Karen E. Parrish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015223
2 201576
3 201567
4 201762
5 201853
6 201650
7 202139
8 201829
9 202022
10 201721
11 201518
12 201916
13 201515
14 201915
15 201613
16 202111
17 201310
18 20205
19 20202
20 20252

About Karen E. Parrish

Karen E. Parrish is a scholar working on Oncology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Biomaterials, having authored 22 papers that have together received 750 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), DNA Repair Mechanisms (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Genetics (245 citations), Oncology (284 citations), Biomaterials (88 citations), Neurology (50 citations) and Cancer Research (67 citations). Karen E. Parrish has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include William F. Elmquist, Jann N. Sarkaria, Rajendar K. Mittapalli, Rajneet K. Oberoi, Terence T. Sio, 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, Scientific Reports and Neuro-Oncology.

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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