April Greene-Colozzi

3.0k citations
5 papers · 642 · 1 hit paper · h-index 4

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

April Greene-Colozzi

5 papers receiving 633 citations

April Greene-Colozzi's Hit Papers

Telomeric Allelic Imbalance Indicates Defective DNA Repair and Sensitivity to DNA-Damaging Agents 2012 · 420 citations
4200+4+9Years since publication100200300400

Peers

April Greene-Colozzi
Comparison fields: 5 of 43
  • Oncology 418
  • Cancer Research 178
  • Reproductive Medicine 54
  • Molecular Biology 314
  • Internal Medicine 11
Replace Anna Supernat with:
Anna Supernat Poland
Zsófia Sztupinszki Denmark
Anita Sridhar Australia
Annie Jean United States
Amjad Alkodsi Finland
Asha Konde United Kingdom
Crispinita D. Arroyo United States
Olga Berezovska United States
Marián Karaba Slovakia
Jeffrey C. Francis United Kingdom
April Greene-Colozzi relative to Anna Supernat Poland Anna Supernat's profile →
Citations per field
00.5×3.7×
Anna Supernat · 1×
Citations per year

Countries citing papers authored by April Greene-Colozzi

Since Specialization
Citations

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

Fields of papers citing papers by April Greene-Colozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by April Greene-Colozzi. 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 April Greene-Colozzi. The network helps show where April Greene-Colozzi may publish in the future.

Co-authors

The 25 scholars most cited alongside April Greene-Colozzi, 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 April Greene-Colozzi Line = papers co-authored together April Greene-Colozzi links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Telomeric Allelic Imbalance Indicates Defective DNA Repair and Sensitivity to DNA-Damaging Agents
Hit paper breakdown →
2012420
2 2012137
3 201848
4 201335
5 20232

About April Greene-Colozzi

April Greene-Colozzi is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Immunology and Infectious Diseases, having authored 5 papers that have together received 642 indexed citations. Recurring topics across this work include interferon and immune responses (1 paper), RNA regulation and disease (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Cancer Cells and Metastasis (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (418 citations), Cancer Research (178 citations), Reproductive Medicine (54 citations), Molecular Biology (314 citations) and Internal Medicine (11 citations). April Greene-Colozzi has collaborated with scholars based in United States, Denmark and Hungary. Frequent co-authors include Christian Bowman-Colin, Nicolai J. Birkbak, Daniel P. Silver, Judy E. Garber, Andrea L. Richardson, Nadine Tung, Paula D. Ryan, J. Dirk Iglehart, Zoltán Szállási and Yang Li. Their work appears in journals such as Cancer Discovery, Annals of Oncology and Molecular Cancer Therapeutics.

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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