Carol Eng

597 citations
8 papers · 516 indexed · h-index 6

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways

Papers in

Carol Eng

7 papers receiving 476 citations

Peers

Carol Eng
Comparison fields: 5 of 54
  • Genetics 305
  • Oncology 201
  • Molecular Biology 393
  • Reproductive Medicine 30
  • Infectious Diseases 55
Replace Ann C. Burgess with:
Ann C. Burgess United States
S S Koh South Korea
Voahangy Randrianarison France
Constantia Pantelidou United States
B Fang United States
Amanda D. Bucheit United States
A.V. Kazansky United States
H. A. Turchin United States
Chad A. Malloff Canada
Carol Eng relative to Ann C. Burgess United States Ann C. Burgess's profile →
Citations per field
00.5×
Ann C. Burgess · 1×
Citations per year

Countries citing papers authored by Carol Eng

Since Specialization
Citations

This map shows the geographic impact of Carol Eng'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 Carol Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Eng more than expected).

Fields of papers citing papers by Carol Eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Eng. 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 Carol Eng. The network helps show where Carol Eng may publish in the future.

Co-authorship network

The 18 scholars most cited alongside Carol Eng, 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 Carol Eng Line = papers co-authored together Carol Eng links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201816
2 20130
3
Effect of PI3K/Akt pathway inhibition-mediated G1 arrest on chemosensitization in ovarian cancer cells.
201229
4 2011100
5 201052
6
Dual inhibition of phosphoinositide 3-kinase and mammalian target of rapamycin as a novel therapeutic approach in human ovarian carcinoma
20081
7 1985104
8 1984214

About Carol Eng

Carol Eng is a scholar working on Reproductive Medicine, Molecular Biology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 8 papers that have together received 516 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Mechanisms and Therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Cancer-related Molecular Pathways (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (305 citations), Oncology (201 citations), Molecular Biology (393 citations), Reproductive Medicine (30 citations) and Infectious Diseases (55 citations). Carol Eng has collaborated with scholars based in United States. Frequent co-authors include Arnold Berk, Craig Montell, G. Courtois, Katherine R. Spindler, Chintda Santiskulvong, Oliver Dorigo, Amer Karam, Gottfried E. Konecny, Hong Wu and Min Song. Their work appears in journals such as Journal of Virology, Clinical Cancer Research, Cytoskeleton, Cell and 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.

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