Mor Nitzan

4.4k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Mor Nitzan is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Mor Nitzan has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cognitive Neuroscience. Recurrent topics in Mor Nitzan's work include Single-cell and spatial transcriptomics (12 papers), Gene Regulatory Network Analysis (9 papers) and Bacterial Genetics and Biotechnology (5 papers). Mor Nitzan is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Gene Regulatory Network Analysis (9 papers) and Bacterial Genetics and Biotechnology (5 papers). Mor Nitzan collaborates with scholars based in Israel, United States and Germany. Mor Nitzan's co-authors include Nir Friedman, Hanah Margalit, Nikolaus Rajewsky, Nikos Karaiskos, Marc Timme, Shahar Arzy, Michael Peer, Netta Levin, Atira Bick and Sarah Hallerberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mor Nitzan

33 papers receiving 1.2k citations

Hit Papers

Mapping cells through time and space with moscot 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mor Nitzan Israel 17 675 265 155 146 137 33 1.3k
Vahid Shahrezaei United Kingdom 24 1.9k 2.8× 92 0.3× 37 0.2× 46 0.3× 538 3.9× 56 2.3k
Jangir Selimkhanov United States 13 905 1.3× 46 0.2× 20 0.1× 103 0.7× 204 1.5× 19 1.5k
Peter Woolf United States 19 1.7k 2.5× 47 0.2× 58 0.4× 233 1.6× 195 1.4× 41 2.8k
Erel Levine United States 20 1.5k 2.2× 41 0.2× 17 0.1× 61 0.4× 384 2.8× 35 2.1k
Tomáš Gedeon United States 21 684 1.0× 141 0.5× 42 0.3× 36 0.2× 203 1.5× 107 1.4k
Aaron K. Wong United States 26 2.1k 3.1× 204 0.8× 49 0.3× 198 1.4× 1.2k 8.5× 47 3.4k
Andrew B. Goryachev United Kingdom 31 1.7k 2.5× 59 0.2× 10 0.1× 198 1.4× 243 1.8× 70 2.8k
Rajiv Narayan United States 11 830 1.2× 250 0.9× 31 0.2× 88 0.6× 32 0.2× 16 1.4k
Ney Lemke Brazil 19 877 1.3× 123 0.5× 13 0.1× 43 0.3× 122 0.9× 62 1.3k
Andrew Mugler United States 19 836 1.2× 83 0.3× 26 0.2× 22 0.2× 121 0.9× 60 1.2k

Countries citing papers authored by Mor Nitzan

Since Specialization
Citations

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

Fields of papers citing papers by Mor Nitzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mor Nitzan

This figure shows the co-authorship network connecting the top 25 collaborators of Mor Nitzan. A scholar is included among the top collaborators of Mor Nitzan 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 Mor Nitzan. Mor Nitzan 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.
Klein, Dominik, Giovanni Palla, Marius Lange, et al.. (2025). Mapping cells through time and space with moscot. Nature. 638(8052). 1065–1075. 24 indexed citations breakdown →
2.
Raveh, Barak, et al.. (2024). Interpreting single-cell and spatial omics data using deep neural network training dynamics. Nature Computational Science. 4(12). 941–954. 5 indexed citations
3.
Piran, Zoe, Niv Cohen, Yedid Hoshen, & Mor Nitzan. (2024). Disentanglement of single-cell data with biolord. Nature Biotechnology. 42(11). 1678–1683. 23 indexed citations
4.
Mages, Simon, Inbal Avraham‐Davidi, Evan Murray, et al.. (2023). TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics. Nature Biotechnology. 41(10). 1465–1473. 28 indexed citations
5.
Nitzan, Mor, et al.. (2023). scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching. Nature Biotechnology. 41(11). 1645–1654. 7 indexed citations
6.
Friedman, Nir, et al.. (2021). NovoSpaRc: flexible spatial reconstruction of single-cell gene expression with optimal transport. Nature Protocols. 16(9). 4177–4200. 69 indexed citations
7.
Nitzan, Mor, et al.. (2021). Programming cell growth into different cluster shapes using diffusible signals. PLoS Computational Biology. 17(11). e1009576–e1009576. 5 indexed citations
8.
Nitzan, Mor & Michael P. Brenner. (2021). Revealing lineage-related signals in single-cell gene expression using random matrix theory. Proceedings of the National Academy of Sciences. 118(11). 4 indexed citations
9.
Haralampiev, Ivan, Mor Nitzan, Matthias A. Schade, et al.. (2020). Selective flexible packaging pathways of the segmented genome of influenza A virus. Nature Communications. 11(1). 4355–4355. 28 indexed citations
10.
Forrow, Aden, et al.. (2019). Statistical optimal transport via factored couplings. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations
11.
Nitzan, Mor, Nikos Karaiskos, Nir Friedman, & Nikolaus Rajewsky. (2019). Gene expression cartography. Nature. 576(7785). 132–137. 175 indexed citations
12.
Nitzan, Mor, Ruth Eliahou, Laurent Spinelli, et al.. (2018). Temporal Dissociation of Neocortical and Hippocampal Contributions to Mental Time Travel Using Intracranial Recordings in Humans. Frontiers in Computational Neuroscience. 12. 11–11. 9 indexed citations
13.
Peer, Michael, Mor Nitzan, Atira Bick, Netta Levin, & Shahar Arzy. (2017). Evidence for Functional Networks within the Human Brain's White Matter. Journal of Neuroscience. 37(27). 6394–6407. 185 indexed citations
14.
Nitzan, Mor, et al.. (2017). Model-free inference of direct network interactions from nonlinear collective dynamics. Nature Communications. 8(1). 2192–2192. 105 indexed citations
15.
Nitzan, Mor, Eytan Katzav, Reimer Kühn, & Ofer Biham. (2016). Distance distribution in configuration-model networks. Physical review. E. 93(6). 62309–62309. 20 indexed citations
16.
Nitzan, Mor, et al.. (2016). Discriminative Learning of Infection Models. 563–572. 8 indexed citations
17.
Nitzan, Mor, Pierre Fechter, Asaf Peer, et al.. (2015). A defense-offense multi-layered regulatory switch in a pathogenic bacterium. Nucleic Acids Research. 43(3). 1357–1369. 20 indexed citations
18.
Zenvirth, Drora, Mor Nitzan, Hanah Margalit, et al.. (2015). Degradation of Ndd1 by APC/CCdh1 generates a feed forward loop that times mitotic protein accumulation. Nature Communications. 6(1). 7075–7075. 11 indexed citations
19.
Nitzan, Mor, Karen M. Wassarman, Ofer Biham, & Hanah Margalit. (2014). Global Regulation of Transcription by a Small RNA: A Quantitative View. Biophysical Journal. 106(5). 1205–1214. 5 indexed citations
20.
Nitzan, Mor, et al.. (2014). Interactions between Distant ceRNAs in Regulatory Networks. Biophysical Journal. 106(10). 2254–2266. 36 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.

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