Mor Nitzan

4.6k citations
34 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

    • Single-cell and spatial transcriptomics 12
    • Gene Regulatory Network Analysis 9
    • RNA and protein synthesis mechanisms 4
    • Gene expression and cancer classification 3
    • Bacterial Genetics and Biotechnology 5

Mor Nitzan

33 papers receiving 1.3k citations

Mor Nitzan's Hit Papers

Mapping cells through time and space with moscot 2025 · 41 citations
410Years since publication10203040

Peers

Mor Nitzan
Comparison fields: 5 of 113
  • Endocrinology 87
  • Biophysics 82
  • Cognitive Neuroscience 251
  • Molecular Biology 709
  • Statistical and Nonlinear Physics 114
Replace Vahid Shahrezaei with:
Vahid Shahrezaei United Kingdom
Jangir Selimkhanov United States
Andrew B. Goryachev United Kingdom
Steven J. Evans United States
Xiao Wang China
Han N. Lim United States
Erel Levine United States
Peter A. Thomason United Kingdom
André S. Ribeiro Finland
Attila Becskei Switzerland
Mor Nitzan relative to Vahid Shahrezaei United Kingdom Vahid Shahrezaei's profile →
Citations per field
00.5×4.8×
Vahid Shahrezaei · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mor Nitzan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mor Nitzan Line = papers co-authored together Mor Nitzan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 2019181
3 2017137
4 2020124
5 2017108
6 202172
7 201755
8 201355
9 201449
10
Mapping cells through time and space with moscot
Hit paper breakdown →
202541
11 201140
12 201436
13 202335
14 202028
15 202425
16 201522
17 202322
18 201621
19
Adenovirus type 3 infection with systemic manifestation in apparently normal children.
198615
20 202412

About Mor Nitzan

Mor Nitzan is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Biophysics and Statistical and Nonlinear Physics, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Gene Regulatory Network Analysis (9 papers), Cell Image Analysis Techniques (5 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Gene expression and cancer classification (3 papers), Neural dynamics and brain function (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Endocrinology (87 citations), Biophysics (82 citations), Cognitive Neuroscience (251 citations), Molecular Biology (709 citations) and Statistical and Nonlinear Physics (114 citations). Mor Nitzan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nir Friedman, Hanah Margalit, Nikos Karaiskos, Nikolaus Rajewsky, Shahar Arzy, Marc Timme, Michael Peer, Atira Bick, Netta Levin and Sarah Hallerberg. Their work appears in journals such as Nature Biotechnology, Nature Communications, Biophysical Journal, Nature and Nature Protocols.

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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