Daniel N. Itzhak
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 6
- Cellular transport and secretion 4
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 4
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 1
- Protein Structure and Dynamics 1
- Physiology top 5%
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- Autophagy in Disease and Therapy 4
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- Cardiac Fibrosis and Remodeling 1
- Co-authors
- Georg H. H. BornerJürgen CoxStefka TyanovaMatthias MannJonathan S. WeissmanBritt AdamsonJ. Zachery CoganJin Chen
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel N. Itzhak
15 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cell Biology 526
- Spectroscopy 348
- Molecular Biology 1.3k
- Physiology 58
- Cancer Research 134
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-authorship network
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 | 2021 | 156 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 38 | |
| 4 | Pervasive functional translation of noncanonical human open reading framesbreakdown → | 2020 | 405 |
| 5 | 2019 | 8 | |
| 6 | 2018 | 157 | |
| 7 | 2018 | 108 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 93 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 198 | |
| 12 | 2017 | 87 | |
| 13 | Global, quantitative and dynamic mapping of protein subcellular localizationbreakdown → | 2016 | 421 |
| 14 | 2015 | 44 | |
| 15 | 2014 | 16 |
About Daniel N. Itzhak
Daniel N. Itzhak is a scholar working on Cell Biology, Spectroscopy and Immunology and Allergy, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (1 paper), Protein Structure and Dynamics (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Cell Biology (526 citations), Spectroscopy (348 citations) and Molecular Biology (1.3k citations). Daniel N. Itzhak has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Georg H. H. Borner, Jürgen Cox, Stefka Tyanova, Matthias Mann, Jonathan S. Weissman, Britt Adamson, J. Zachery Cogan, Jin Chen, James K. Nuñez and Andreas‐David Brunner. Their work appears in journals such as Nature Communications, Cell Reports, eLife, Scientific Reports and PLoS 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.