Daniel N. Itzhak
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Endoplasmic Reticulum Stress and Disease 6
- Cellular transport and secretion 4
- Biotin and Related Studies 1
- Co-authors
- Georg H. H. Borner (8 shared papers)Jürgen Cox (4 shared papers)Stefka Tyanova (3 shared papers)Matthias Mann (3 shared papers)Jonathan S. Weissman (2 shared papers)Jin Chen (1 shared paper)Manuel D. Leonetti (1 shared paper)Alexander P. Fields (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)eLife (2 papers)Scientific Reports (1 paper)PLoS Biology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel N. Itzhak
15 papers receiving 1.8k citations
Daniel N. Itzhak's 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-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 | Global, quantitative and dynamic mapping of protein subcellular localization Hit paper breakdown → | 2016 | 421 |
| 2 | Pervasive functional translation of noncanonical human open reading frames Hit paper breakdown → | 2020 | 405 |
| 3 | 2017 | 198 | |
| 4 | 2018 | 157 | |
| 5 | 2021 | 156 | |
| 6 | 2018 | 108 | |
| 7 | 2018 | 93 | |
| 8 | 2017 | 87 | |
| 9 | 2015 | 44 | |
| 10 | 2020 | 38 | |
| 11 | 2018 | 27 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 8 |
About Daniel N. Itzhak
Daniel N. Itzhak is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Epidemiology and Surgery, 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), Cellular transport and secretion (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Autophagy in Disease and Therapy (4 papers), Pancreatic function and diabetes (1 paper), Biotin and Related Studies (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cell Biology (526 citations), Spectroscopy (348 citations), Molecular Biology (1.3k citations), Physiology (58 citations) and Cancer Research (134 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, Jin Chen, Manuel D. Leonetti, Alexander P. Fields, J. Zachery Cogan and Britt Adamson. 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.