Nir Cohen
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- RNA and protein synthesis mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 3
- Protein Structure and Dynamics 3
- Fungal and yeast genetics research 3
- Machine Learning in Bioinformatics 1
-
- Biotin and Related Studies 2
- Co-authors
- Maya Schuldiner (8 shared papers)Chen Bibi (2 shared papers)Einat Zalckvar (2 shared papers)Nadav Shai (2 shared papers)Eden Yifrach (2 shared papers)Ramona Schuster (1 shared paper)Adam L. Hughes (1 shared paper)Hans R. Waterham (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Journal of Medical Microbiology (1 paper)Molecular Systems Biology (1 paper)BioEssays (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Nir Cohen
11 papers receiving 420 citations
Peers
Comparison fields: 5 of 66
- Biochemistry 53
- Cell Biology 109
- Structural Biology 8
- Molecular Biology 345
- Clinical Biochemistry 30
Countries citing papers authored by Nir Cohen
This map shows the geographic impact of Nir 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 Nir Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Cohen more than expected).
Fields of papers citing papers by Nir Cohen
This network shows the impact of papers produced by Nir 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 Nir Cohen. The network helps show where Nir Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 245 | |
| 2 | 2001 | 45 | |
| 3 | 2017 | 37 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2025 | 12 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 1 |
About Nir Cohen
Nir Cohen is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Epidemiology and Infectious Diseases, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Protein Structure and Dynamics (3 papers), Fungal and yeast genetics research (3 papers), Biotin and Related Studies (2 papers), Enzyme Structure and Function (2 papers), Fungal Infections and Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biochemistry (53 citations), Cell Biology (109 citations), Structural Biology (8 citations), Molecular Biology (345 citations) and Clinical Biochemistry (30 citations). Nir Cohen has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Maya Schuldiner, Chen Bibi, Einat Zalckvar, Nadav Shai, Eden Yifrach, Ramona Schuster, Adam L. Hughes, Hans R. Waterham, Mickaël M. Cohen and Mafalda Escobar‐Henriques. Their work appears in journals such as Journal of Cell Science, Journal of Medical Microbiology, Molecular Systems Biology, BioEssays and Journal of Molecular Biology.
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.