Daniel N. Itzhak
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biotin and Related Studies
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
Papers in
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- Endoplasmic Reticulum Stress and Disease 4
- Cellular transport and secretion 3
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- Advanced Proteomics Techniques and Applications 7
- Co-authors
- Georg H. H. Borner (8 shared papers)Jüergen Cox (4 shared papers)Stefka Tyanova (3 shared papers)Matthias Mann (3 shared papers)Jonathan S. Weissman (2 shared papers)Manuel D. Leonetti (1 shared paper)Britt Adamson (1 shared paper)Jin Chen (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Cell (2 papers)eLife (2 papers)Science (2 papers)Cell Reports (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel N. Itzhak
18 papers receiving 2.4k citations
Daniel N. Itzhak's Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 514
- Spectroscopy 575
- Molecular Biology 1.1k
- Cancer Research 134
- Biophysics 58
Countries citing papers authored by Daniel N. Itzhak
This map shows the geographic impact of Daniel N. Itzhak'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 Daniel N. Itzhak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Itzhak more than expected).
Fields of papers citing papers by Daniel N. Itzhak
This network shows the impact of papers produced by Daniel N. Itzhak. 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 Daniel N. Itzhak. The network helps show where Daniel N. Itzhak may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel N. Itzhak, 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 | Pervasive functional translation of noncanonical human open reading frames Hit paper breakdown → | 2020 | 474 |
| 2 | Global, quantitative and dynamic mapping of protein subcellular localization Hit paper breakdown → | 2016 | 469 |
| 3 | OpenCell: Endogenous tagging for the cartography of human cellular organization Hit paper breakdown → | 2022 | 350 |
| 4 | 2017 | 226 | |
| 5 | 2021 | 184 | |
| 6 | 2018 | 163 | |
| 7 | 2018 | 124 | |
| 8 | 2018 | 102 | |
| 9 | 2017 | 92 | |
| 10 | 2024 | 52 | |
| 11 | 2015 | 49 | |
| 12 | 2020 | 47 | |
| 13 | 2018 | 30 | |
| 14 | 2014 | 19 | |
| 15 | 2018 | 17 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2025 | 7 | |
| 19 | 2026 | 0 |
About Daniel N. Itzhak
Daniel N. Itzhak is a scholar working on Cell Biology, Spectroscopy, Molecular Biology, Cancer Research and Immunology, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cellular transport and secretion (3 papers), RNA and protein synthesis mechanisms (2 papers), Heat shock proteins research (2 papers), Cancer-related molecular mechanisms research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Cell Biology (514 citations), Spectroscopy (575 citations), Molecular Biology (1.1k citations), Cancer Research (134 citations) and Biophysics (58 citations). Daniel N. Itzhak has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Georg H. H. Borner, Jüergen Cox, Stefka Tyanova, Matthias Mann, Jonathan S. Weissman, Manuel D. Leonetti, Britt Adamson, Jin Chen, Alexander T. Fields and Andreas‐David Brunner. Their work appears in journals such as Nature Communications, Molecular Cell, eLife, Science and Cell 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.