Daniel N. Itzhak

3.4k total citations · 2 hit papers
15 papers, 1.8k citations indexed

About

Daniel N. Itzhak is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Daniel N. Itzhak has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Spectroscopy. Recurrent topics in Daniel N. Itzhak's work include Endoplasmic Reticulum Stress and Disease (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and Autophagy in Disease and Therapy (4 papers). Daniel N. Itzhak is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and Autophagy in Disease and Therapy (4 papers). Daniel N. Itzhak collaborates with scholars based in Germany, United Kingdom and United States. Daniel N. Itzhak's co-authors include Georg H. H. Borner, Jürgen Cox, Stefka Tyanova, Matthias Mann, Jonathan S. Weissman, Manuel D. Leonetti, James K. Nuñez, Alexander P. Fields, J. Zachery Cogan and Andreas‐David Brunner and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

Daniel N. Itzhak

15 papers receiving 1.8k citations

Hit Papers

Global, quantitative and dynamic mapping of protein subce... 2016 2026 2019 2022 2016 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global, quantitative and dynamic mapping of protein subcellular localization
    2016 421 citations Daniel N. Itzhak, Stefka Tyanova et al. eLife profile →
  2. Pervasive functional translation of noncanonical human open reading frames
    2020 405 citations Jin Chen, Andreas‐David Brunner et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel N. Itzhak Germany 13 1.3k 526 348 174 134 15 1.8k
Karen Colwill Canada 22 2.3k 1.8× 572 1.1× 210 0.6× 133 0.8× 132 1.0× 55 2.9k
Eric S. Witze United States 17 1.4k 1.1× 325 0.6× 311 0.9× 132 0.8× 168 1.3× 25 1.8k
Séverine Boulon France 17 2.0k 1.5× 267 0.5× 137 0.4× 89 0.5× 152 1.1× 21 2.3k
Jimi Wills United Kingdom 17 1.1k 0.9× 423 0.8× 194 0.6× 319 1.8× 150 1.1× 24 1.6k
John C. Obenauer United States 11 1.8k 1.4× 255 0.5× 206 0.6× 95 0.5× 362 2.7× 16 2.2k
Zhen‐Yuan Lin Canada 21 2.1k 1.6× 748 1.4× 161 0.5× 107 0.6× 166 1.2× 30 2.6k
James D.R. Knight Canada 23 2.2k 1.7× 965 1.8× 130 0.4× 105 0.6× 125 0.9× 26 2.8k
Rajat Gupta Denmark 14 1.8k 1.4× 412 0.8× 91 0.3× 192 1.1× 120 0.9× 15 2.2k
Holger Dinkel Germany 12 1.8k 1.4× 227 0.4× 258 0.7× 101 0.6× 81 0.6× 15 2.1k
Wade H. Dunham Canada 8 1.3k 1.0× 524 1.0× 139 0.4× 79 0.5× 131 1.0× 11 1.6k

Countries citing papers authored by Daniel N. Itzhak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel N. Itzhak

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Itzhak. A scholar is included among the top collaborators of Daniel N. Itzhak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel N. Itzhak. Daniel N. Itzhak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Collier, M, Kathy H. Li, Yuchan Chen, et al.. (2021). Native mass spectrometry analyses of chaperonin complex TRiC/CCT reveal subunit N-terminal processing and re-association patterns. Scientific Reports. 11(1). 13084–13084. 9 indexed citations
2.
Sinitcyn, Pavel, Hamid Hamzeiy, Daniel N. Itzhak, et al.. (2021). MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nature Biotechnology. 39(12). 1563–1573. 156 indexed citations
3.
Kozik, Patrycja, Marine Gros, Daniel N. Itzhak, et al.. (2020). Small Molecule Enhancers of Endosome-to-Cytosol Import Augment Anti-tumor Immunity. Cell Reports. 32(2). 107905–107905. 38 indexed citations
4.
Chen, Jin, Andreas‐David Brunner, J. Zachery Cogan, et al.. (2020). Pervasive functional translation of noncanonical human open reading frames. Science. 367(6482). 1140–1146. 405 indexed citations breakdown →
5.
Itzhak, Daniel N., Francesca Sacco, Nagarjuna Nagaraj, et al.. (2019). SILAC-based quantitative mass spectrometry-based proteomics quantifies endoplasmic reticulum stress in whole HeLa cells. Disease Models & Mechanisms. 12(11). 8 indexed citations
6.
Davies, Alexandra K., Daniel N. Itzhak, James R. Edgar, et al.. (2018). AP-4 vesicles contribute to spatial control of autophagy via RUSC-dependent peripheral delivery of ATG9A. Nature Communications. 9(1). 3958–3958. 108 indexed citations
7.
Shurtleff, Matthew J., Daniel N. Itzhak, Jeffrey A. Hussmann, et al.. (2018). The ER membrane protein complex interacts cotranslationally to enable biogenesis of multipass membrane proteins. eLife. 7. 157 indexed citations
8.
Hirst, Jennifer, Daniel N. Itzhak, Robin Antrobus, Georg H. H. Borner, & Margaret S. Robinson. (2018). Role of the AP-5 adaptor protein complex in late endosome-to-Golgi retrieval. PLoS Biology. 16(1). e2004411–e2004411. 93 indexed citations
9.
Garcia-Rivera, Enrique, Daniel N. Itzhak, Peter W. Bircham, et al.. (2018). SHRED Is a Regulatory Cascade that Reprograms Ubr1 Substrate Specificity for Enhanced Protein Quality Control during Stress. Molecular Cell. 70(6). 1025–1037.e5. 27 indexed citations
10.
Itzhak, Daniel N., Julia P. Schessner, & Georg H. H. Borner. (2018). Dynamic Organellar Maps for Spatial Proteomics. Current Protocols in Cell Biology. 83(1). e81–e81. 15 indexed citations
11.
Doll, Sophia, Martina Dreßen, Philipp E. Geyer, et al.. (2017). Region and cell-type resolved quantitative proteomic map of the human heart. Nature Communications. 8(1). 1469–1469. 198 indexed citations
12.
Itzhak, Daniel N., Colin Davies, Stefka Tyanova, et al.. (2017). A Mass Spectrometry-Based Approach for Mapping Protein Subcellular Localization Reveals the Spatial Proteome of Mouse Primary Neurons. Cell Reports. 20(11). 2706–2718. 87 indexed citations
13.
Itzhak, Daniel N., Stefka Tyanova, Jürgen Cox, & Georg H. H. Borner. (2016). Global, quantitative and dynamic mapping of protein subcellular localization. eLife. 5. 421 indexed citations breakdown →
14.
Bright, Michael D., Daniel N. Itzhak, Christopher P. Wardell, Gareth J. Morgan, & Faith E. Davies. (2015). Cleavage of BLOC1S1 mRNA by IRE1 Is Sequence Specific, Temporally Separate from XBP1 Splicing, and Dispensable for Cell Viability under Acute Endoplasmic Reticulum Stress. Molecular and Cellular Biology. 35(12). 2186–2202. 44 indexed citations
15.
Itzhak, Daniel N., Michael D. Bright, Craig McAndrew, et al.. (2014). Multiple autophosphorylations significantly enhance the endoribonuclease activity of human inositol requiring enzyme 1α. BMC Biochemistry. 15(1). 3–3. 16 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Karen Colwill Breakdown of academic impact, for papers by Eric S. Witze Breakdown of academic impact, for papers by Séverine Boulon Breakdown of academic impact, for papers by Jimi Wills Breakdown of academic impact, for papers by John C. Obenauer Breakdown of academic impact, for papers by Zhen‐Yuan Lin Breakdown of academic impact, for papers by James D.R. Knight Breakdown of academic impact, for papers by Rajat Gupta Breakdown of academic impact, for papers by Holger Dinkel Breakdown of academic impact, for papers by Wade H. Dunham
Rankless by CCL
2026