Noam Cohen

1.8k citations
24 papers · 1.3k indexed · h-index 12
  • Oncology top 5%
    • Cancer Cells and Metastasis 6
    • Chemokine receptors and signaling 2
    • Cancer Immunotherapy and Biomarkers 2
  • Immunology top 5%
    • Immune cells in cancer 5
    • IL-33, ST2, and ILC Pathways 2
    • MicroRNA in disease regulation 2
    • Extracellular vesicles in disease 2
    • Endoplasmic Reticulum Stress and Disease 2

Noam Cohen

23 papers receiving 1.3k citations

Peers

Noam Cohen
Comparison fields: 5 of 82
  • Oncology 672
  • Immunology 484
  • Cancer Research 267
  • Molecular Biology 636
  • Biotechnology 55
Replace Yael Raz with:
Yael Raz Israel
Mario Di Matteo Belgium
Linda N. Liu United States
Mélanie Tichet France
Tatiana A. Karakasheva United States
Ophir Shani Israel
Jens Serneels Belgium
Meghna Waghray United States
James Lee United States
Charli Dominguez United States
Noam Cohen relative to Yael Raz Israel Yael Raz's profile →
Citations per field
00.5×
Yael Raz · 1×
Citations per year

Countries citing papers authored by Noam Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Noam Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20241
4 202362
5 202321
6 202126
7 2020110
8 202031
9 201961
10 20191
11 2019241
12 2018200
13 20170
14 2017226
15 20177
16 2015140
17 20141
18 20135
19 20106
20 200011

About Noam Cohen

Noam Cohen is a scholar working on Oncology, Sensory Systems and Immunology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Immune cells in cancer (5 papers), Extracellular vesicles in disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Chemokine receptors and signaling (2 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (672 citations), Immunology (484 citations) and Cancer Research (267 citations). Noam Cohen has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Neta Erez, Yael Raz, Ophir Shani, Yoray Sharon, Lilach Abramovitz, Lea Monteran, Amir Ben‐Shmuel, Leonor Leider–Trejo, Daniel Hoffman and Hila Doron. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

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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