Noa Efrat

789 citations
6 papers · 641 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 2
    • Cancer Treatment and Pharmacology 1
    • HER2/EGFR in Cancer Research 1

Noa Efrat

6 papers receiving 624 citations

Peers

Noa Efrat
Comparison fields: 5 of 44
  • Cancer Research 219
  • Oncology 275
  • Pulmonary and Respiratory Medicine 67
  • Economics and Econometrics 50
  • Genetics 43
Replace Begoña Bermejo de las Heras with:
Begoña Bermejo de las Heras Spain
David A. Riseberg United States
Amparo Ruiz-Simón Spain
Albert von der Assen Germany
Mahmoud Charif United States
Angels Arcusa Lanza Spain
Peter Michael Vestlev Denmark
Dhimant Patel United States
Jurij Antonovic Bogovic Denmark
Marina J. Vaysburd United States
Noa Efrat relative to Begoña Bermejo de las Heras Spain Begoña Bermejo de las Heras's profile →
Citations per field
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Begoña Bermejo de las Heras · 1×
Citations per year

Countries citing papers authored by Noa Efrat

Since Specialization
Citations

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

Fields of papers citing papers by Noa Efrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2017469
2 2010101
3 201526
4 201517
5 201616
6 201712

About Noa Efrat

Noa Efrat is a scholar working on Cancer Research, Oncology, Genetics, Economics and Econometrics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 641 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), BRCA gene mutations in cancer (2 papers), Cancer Treatment and Pharmacology (1 paper), Cancer therapeutics and mechanisms (1 paper), Advanced Breast Cancer Therapies (1 paper), HER2/EGFR in Cancer Research (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Cancer Research (219 citations), Oncology (275 citations), Pulmonary and Respiratory Medicine (67 citations), Economics and Econometrics (50 citations) and Genetics (43 citations). Noa Efrat has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Ariel Hammerman, Nicky Liebermann, Julie Doberne, John C Hornberger, Shmuel H. Klang, Eitan Friedman, Lior Soussan‐Gutman, Addie Dvir, Bella Kaufman and Ella Evron. Their work appears in journals such as Breast Cancer Research and Treatment, The Lancet Oncology, Value in Health, British Journal of Cancer and Clinical Breast Cancer.

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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