Shalev Itzkovitz

36.8k total citations · 10 hit papers
106 papers, 20.4k citations indexed

About

Shalev Itzkovitz is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shalev Itzkovitz has authored 106 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 21 papers in Genetics and 18 papers in Cancer Research. Recurrent topics in Shalev Itzkovitz's work include Single-cell and spatial transcriptomics (27 papers), Gene Regulatory Network Analysis (20 papers) and Cancer Cells and Metastasis (14 papers). Shalev Itzkovitz is often cited by papers focused on Single-cell and spatial transcriptomics (27 papers), Gene Regulatory Network Analysis (20 papers) and Cancer Cells and Metastasis (14 papers). Shalev Itzkovitz collaborates with scholars based in Israel, United States and Switzerland. Shalev Itzkovitz's co-authors include Uri Alon, Ron Milo, Nadav Kashtan, Shai S. Shen-Orr, Dmitri B. Chklovskii, Beáta Tóth, Ido Amit, Eyal David, Orit Matcovitch-Natan and Keren Bahar Halpern and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shalev Itzkovitz

104 papers receiving 20.0k citations

Hit Papers

Network Motifs: Simple Building Blocks of Complex Networks 2002 2026 2010 2018 2002 2017 2004 2007 2012 1000 2.0k 3.0k 4.0k
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. Network Motifs: Simple Building Blocks of Complex Networks
    2002 4.7k citations Ron Milo, Shai S. Shen-Orr et al. Science profile →
  2. A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
    2017 3.3k citations Hadas Keren‐Shaul, Amit Spinrad et al. Cell profile →
  3. Superfamilies of Evolved and Designed Networks
    2004 962 citations Ron Milo, Shalev Itzkovitz et al. Science profile →
  4. Functional atlas of the integrin adhesome
    2007 886 citations Shalev Itzkovitz et al. profile →
  5. Slug and Sox9 Cooperatively Determine the Mammary Stem Cell State
    2012 755 citations Shalev Itzkovitz, Alexander van Oudenaarden et al. Cell profile →
  6. Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
    2017 685 citations Keren Bahar Halpern, Orit Matcovitch-Natan et al. Nature profile →
  7. A comprehensive library of fluorescent transcriptional reporters for Escherichia coli
    2006 584 citations Shalev Itzkovitz, Uri Alon et al. profile →
  8. The Lgr5 intestinal stem cell signature: robust expression of proposed quiescent ‘+4’ cell markers
    2012 562 citations Shalev Itzkovitz, Alexander van Oudenaarden et al. The EMBO Journal profile →
  9. Subepithelial telocytes are an important source of Wnts that supports intestinal crypts
    2018 366 citations Michal Shoshkes-Carmel, Beáta Tóth et al. Nature profile →
  10. Spatial heterogeneity in the mammalian liver
    2019 300 citations Shani Ben‐Moshe, Shalev Itzkovitz profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shalev Itzkovitz Israel 52 11.1k 2.7k 2.5k 2.5k 2.2k 106 20.4k
Daniel Ramage United States 20 21.9k 2.0× 604 0.2× 820 0.3× 3.2k 1.3× 2.8k 1.3× 28 42.3k
Fabian J. Theis Germany 85 21.1k 1.9× 1.1k 0.4× 356 0.1× 4.4k 1.8× 2.1k 1.0× 447 30.9k
Zoltán N. Oltvai United States 41 17.4k 1.6× 298 0.1× 2.9k 1.1× 1.7k 0.7× 1.8k 0.8× 85 24.4k
Michael Simons United States 97 18.7k 1.7× 431 0.2× 1.9k 0.8× 2.7k 1.1× 1.8k 0.8× 432 34.6k
Gary D. Bader Canada 69 22.9k 2.1× 694 0.3× 343 0.1× 2.5k 1.0× 2.7k 1.2× 211 31.7k
Alexander van Oudenaarden Netherlands 91 29.2k 2.6× 371 0.1× 921 0.4× 2.2k 0.9× 6.5k 2.9× 200 36.6k
Qing Nie United States 51 7.8k 0.7× 397 0.1× 325 0.1× 2.4k 1.0× 814 0.4× 288 14.5k
Kara Dolinski United States 31 28.8k 2.6× 438 0.2× 257 0.1× 2.8k 1.1× 4.6k 2.1× 44 38.7k
David S. Park Canada 78 10.5k 1.0× 1.6k 0.6× 148 0.1× 1.2k 0.5× 784 0.3× 230 18.8k
Marc Vidal United States 86 24.4k 2.2× 204 0.1× 579 0.2× 1.5k 0.6× 3.5k 1.6× 199 31.0k

Countries citing papers authored by Shalev Itzkovitz

Since Specialization
Citations

This map shows the geographic impact of Shalev Itzkovitz'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 Shalev Itzkovitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shalev Itzkovitz more than expected).

Fields of papers citing papers by Shalev Itzkovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shalev Itzkovitz. 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 Shalev Itzkovitz. The network helps show where Shalev Itzkovitz may publish in the future.

Co-authorship network of co-authors of Shalev Itzkovitz

This figure shows the co-authorship network connecting the top 25 collaborators of Shalev Itzkovitz. A scholar is included among the top collaborators of Shalev Itzkovitz 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 Shalev Itzkovitz. Shalev Itzkovitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Buchauer, Lisa & Shalev Itzkovitz. (2024). cellanneal: A user-friendly deconvolution software fortranscriptomics data. The Journal of Open Source Software. 9(93). 5610–5610. 1 indexed citations
2.
Halpern, Keren Bahar, Yael Korem Kohanim, Adi Biram, et al.. (2023). The cellular states and fates of shed intestinal cells. Nature Metabolism. 5(11). 1858–1869. 6 indexed citations
3.
Zuzarte‐Luís, Vanessa, Keren Bahar Halpern, Lisa Buchauer, et al.. (2022). A spatiotemporally resolved single-cell atlas of the Plasmodium liver stage. Nature. 611(7936). 563–569. 31 indexed citations
4.
Ungar, Bella, Miri Yavzori, Ella Fudim, et al.. (2022). Host transcriptome signatures in human faecal-washes predict histological remission in patients with IBD. Gut. 71(10). 1988–1997. 5 indexed citations
5.
Ben‐Moshe, Shani, Rita Manco, Aviezer Lifshitz, et al.. (2022). The spatiotemporal program of zonal liver regeneration following acute injury. Cell stem cell. 29(6). 973–989.e10. 117 indexed citations
6.
Harnik, Yotam, Lisa Buchauer, Shani Ben‐Moshe, et al.. (2021). Spatial discordances between mRNAs and proteins in the intestinal epithelium. Nature Metabolism. 3(12). 1680–1693. 33 indexed citations
7.
Olender, Tsviya, Marco Osterwalder, Dena Leshkowitz, et al.. (2021). Bi-fated tendon-to-bone attachment cells are regulated by shared enhancers and KLF transcription factors. eLife. 10. 40 indexed citations
8.
Manco, Rita, Inna Averbukh, Ziv Porat, et al.. (2021). Clump sequencing exposes the spatial expression programs of intestinal secretory cells. Nature Communications. 12(1). 3074–3074. 43 indexed citations
9.
Halpern, Keren Bahar, Hassan Massalha, Rachel K. Zwick, et al.. (2020). Lgr5+ telocytes are a signaling source at the intestinal villus tip. Nature Communications. 11(1). 1936–1936. 100 indexed citations
10.
Cohen‐Tayar, Yamit, Hadar Cohen, Carmit Levy, et al.. (2018). Pax6 regulation of Sox9 in the mouse retinal pigmented epithelium controls its timely differentiation and choroid vasculature development. Development. 145(15). 17 indexed citations
11.
Keren‐Shaul, Hadas, Amit Spinrad, Assaf Weiner, et al.. (2017). A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease. Cell. 169(7). 1276–1290.e17. 3266 indexed citations breakdown →
12.
Moor, Andreas E., Matan Golan, Efi E. Massasa, et al.. (2017). Global mRNA polarization regulates translation efficiency in the intestinal epithelium. Science. 357(6357). 1299–1303. 117 indexed citations
13.
Morgenstern, Yael, Upasana Das Adhikari, Muneef Ayyash, et al.. (2017). Casein kinase 1‐epsilon or 1‐delta required for Wnt‐mediated intestinal stem cell maintenance. The EMBO Journal. 36(20). 3046–3061. 13 indexed citations
14.
Blinder, Pablo, et al.. (2016). Pax6 role in the regulation of retinal pigmented epithelium maturation. Investigative Ophthalmology & Visual Science. 57(12). 6055–6055. 1 indexed citations
15.
Almendro, Vanessa, Hee Jung Kim, Yu-Kang Cheng, et al.. (2014). Genetic and Phenotypic Diversity in Breast Tumor Metastases. Cancer Research. 74(5). 1338–1348. 129 indexed citations
16.
Lyubimova, Anna, Shalev Itzkovitz, Jan Philipp Junker, et al.. (2013). Single-molecule mRNA detection and counting in mammalian tissue. Nature Protocols. 8(9). 1743–1758. 143 indexed citations
17.
Frumkin, Dan, Adam Wasserstrom, Shalev Itzkovitz, et al.. (2008). Cell Lineage Analysis of a Mouse Tumor. Cancer Research. 68(14). 5924–5931. 54 indexed citations
18.
Milo, Ron, Nadav Kashtan, Shalev Itzkovitz, M. E. J. Newman, & Uri Alon. (2003). Uniform generation of random graphs with arbitrary degree sequences. arXiv (Cornell University). 24 indexed citations
19.
Kashtan, Nadav, et al.. (2003). Network motifs in biological networks: Roles and Generalizations. arXiv (Cornell University). 1 indexed citations
20.
Milo, Ron, Shai S. Shen-Orr, Shalev Itzkovitz, et al.. (2002). Network Motifs: Simple Building Blocks of Complex Networks. Science. 298(5594). 824–827. 4738 indexed citations breakdown →

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.

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