Mor Nitzan
Impact in
- Endocrinology top 5%
- Biophysics top 5%
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
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Hanah Margalit (7 shared papers)Nir Friedman (3 shared papers)Nikos Karaiskos (2 shared papers)Nikolaus Rajewsky (2 shared papers)Marc Timme (2 shared papers)Shahar Arzy (3 shared papers)Michael Peer (2 shared papers)Netta Levin (1 shared paper)
- Journals
- Nature Communications (4 papers)Nature Biotechnology (4 papers)Nature (2 papers)Biophysical Journal (2 papers)Annals of Neurology (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Mor Nitzan
33 papers receiving 1.2k citations
Mor Nitzan's Hit Papers
Peers
Comparison fields: 5 of 114
- Endocrinology 82
- Biophysics 84
- Cognitive Neuroscience 265
- Molecular Biology 675
- Statistical and Nonlinear Physics 111
Countries citing papers authored by Mor Nitzan
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
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.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 185 | |
| 2 | 2019 | 175 | |
| 3 | 2017 | 131 | |
| 4 | 2020 | 115 | |
| 5 | 2017 | 105 | |
| 6 | 2021 | 69 | |
| 7 | 2017 | 55 | |
| 8 | 2013 | 52 | |
| 9 | 2014 | 43 | |
| 10 | 2014 | 36 | |
| 11 | 2011 | 36 | |
| 12 | 2023 | 28 | |
| 13 | 2020 | 28 | |
| 14 | Mapping cells through time and space with moscot Hit paper breakdown → | 2025 | 24 |
| 15 | 2024 | 23 | |
| 16 | 2015 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2023 | 16 | |
| 19 | Adenovirus type 3 infection with systemic manifestation in apparently normal children. | 1986 | 12 |
| 20 | 2015 | 11 |
About Mor Nitzan
Mor Nitzan is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Biophysics and Statistical and Nonlinear Physics, having authored 33 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), Bacteriophages and microbial interactions (3 papers), Complex Network Analysis Techniques (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Endocrinology (82 citations), Biophysics (84 citations), Cognitive Neuroscience (265 citations), Molecular Biology (675 citations) and Statistical and Nonlinear Physics (111 citations). Mor Nitzan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Hanah Margalit, Nir Friedman, Nikos Karaiskos, Nikolaus Rajewsky, Marc Timme, Shahar Arzy, Michael Peer, Netta Levin, Atira Bick and Sarah Hallerberg. Their work appears in journals such as Nature Communications, Nature Biotechnology, Nature, Biophysical Journal and Annals of Neurology.
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.