Nir Ben‐Chetrit

1.6k citations
15 papers · 896 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Epigenetics and DNA Methylation 2
    • Glycosylation and Glycoproteins Research 2
    • HER2/EGFR in Cancer Research 5
    • Cancer Cells and Metastasis 3

Nir Ben‐Chetrit

15 papers receiving 889 citations

Peers

Nir Ben‐Chetrit
Comparison fields: 5 of 83
  • Cancer Research 210
  • Oncology 353
  • Immunology 187
  • Molecular Biology 474
  • Immunology and Allergy 38
Replace Anna G. Antonacopoulou with:
Anna G. Antonacopoulou Greece
Defeng Deng United States
Lucia Borriello United States
Geetha Shankar United States
Yawei Yuan China
Hiroyuki Imaki Japan
Byeong-Chel Lee United States
Robert L. Kortum United States
Jamie C. Stanford United States
Peter Hammarsten Sweden
Nir Ben‐Chetrit relative to Anna G. Antonacopoulou Greece Anna G. Antonacopoulou's profile →
Citations per field
00.5×1.5×2.2×
Anna G. Antonacopoulou · 1×
Citations per year

Countries citing papers authored by Nir Ben‐Chetrit

Since Specialization
Citations

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

Fields of papers citing papers by Nir Ben‐Chetrit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir Ben‐Chetrit. 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 Nir Ben‐Chetrit. The network helps show where Nir Ben‐Chetrit may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017198
2 2016102
3 201393
4 201182
5 201178
6 201577
7 201449
8 201443
9 202235
10 201131
11 201728
12 201927
13 201125
14 201314
15 201014

About Nir Ben‐Chetrit

Nir Ben‐Chetrit is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cell Biology, having authored 15 papers that have together received 896 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Glycosylation and Glycoproteins Research (2 papers), MicroRNA in disease regulation (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (210 citations), Oncology (353 citations), Immunology (187 citations), Molecular Biology (474 citations) and Immunology and Allergy (38 citations). Nir Ben‐Chetrit has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yosef Yarden, Johanna A. Joyce, Hadas Cohen‐Dvashi, Sara Lavi, Andrew J. Dannenberg, I‐Chun Chen, Daniela A. Ferraro, Oakley C. Olson, Logan A. Walsh and Peter R. Holt. Their work appears in journals such as Oncogene, Nature Communications, PLoS ONE, Science Signaling and Scientific Reports.

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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