D A E Parolin

584 citations
12 papers · 503 · h-index 10

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Heat shock proteins research 1
    • Cancer Genomics and Diagnostics 1

D A E Parolin

12 papers receiving 495 citations

Peers

D A E Parolin
Comparison fields: 5 of 67
  • Cancer Research 153
  • Oncology 124
  • Molecular Biology 299
  • Genetics 36
  • Cell Biology 59
Replace Talha Anwar with:
Talha Anwar United States
R. Habets Netherlands
Namrata Bora-Singhal United States
Margarite D. Matossian United States
John F. Beeler United States
Yi-Ying Wu Taiwan
Shweta Aras United States
Eadaoin McKiernan Ireland
Elsie White United States
Antonio Díaz‐López Spain
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Citations per field
00.5×1.5×
Talha Anwar · 1×
Citations per year

Countries citing papers authored by D A E Parolin

Since Specialization
Citations

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

Fields of papers citing papers by D A E Parolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D A E Parolin. 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 D A E Parolin. The network helps show where D A E Parolin may publish in the future.

Co-authors

The 25 scholars most cited alongside D A E Parolin, 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 D A E Parolin Line = papers co-authored together D A E Parolin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003159
2 200362
3 200557
4
A pharmacodynamic study of the epidermal growth factor receptor tyrosine kinase inhibitor ZD1839 in metastatic colorectal cancer patients.
200352
5 200851
6 200535
7 201328
8 201126
9 201020
10 20159
11 20123
12
Induction of apoptosis in glioblastoma cells by an atypical protein kinase C pseudosubstrate peptide.
20021

About D A E Parolin

D A E Parolin is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Surgery, having authored 12 papers that have together received 503 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Heat shock proteins research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Cancer Research (153 citations), Oncology (124 citations), Molecular Biology (299 citations), Genetics (36 citations) and Cell Biology (59 citations). D A E Parolin has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Ian A.J. Lorimer, R. Mitchell Baldwin, Karim Mekhail, Stephen Lee, Lakshman Gunaratnam, Eijiro Nakamura, Melissa Morley, Aleksandra Franovic, John F. Kelly and Manijeh Daneshmand. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Molecular Cancer, Oncotarget and Cell Cycle.

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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