Nir Pillar
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 9
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- MicroRNA in disease regulation 7
- Cancer Genomics and Diagnostics 2
- Co-authors
- Noam Shomron (22 shared papers)Aydogan Özcan (17 shared papers)Yuzhu Li (11 shared papers)Yijie Zhang (5 shared papers)Xilin Yang (7 shared papers)Bijie Bai (5 shared papers)Daphna Weissglas‐Volkov (4 shared papers)Reza Mirnezami (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Psychiatric Research (2 papers)Light Science & Applications (2 papers)Science Advances (2 papers)Oncotarget (2 papers)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Nir Pillar
52 papers receiving 958 citations
Nir Pillar's Hit Papers
Peers
Comparison fields: 5 of 106
- Biophysics 117
- Cancer Research 182
- Biological Psychiatry 16
- Media Technology 50
- Molecular Biology 340
Countries citing papers authored by Nir Pillar
This map shows the geographic impact of Nir Pillar'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 Nir Pillar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Pillar more than expected).
Fields of papers citing papers by Nir Pillar
This network shows the impact of papers produced by Nir Pillar. 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 Nir Pillar. The network helps show where Nir Pillar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Pillar, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-enabled virtual histological staining of biological samples Hit paper breakdown → | 2023 | 212 |
| 2 | 2017 | 132 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 43 | |
| 5 | 2018 | 42 | |
| 6 | 2016 | 39 | |
| 7 | 2024 | 32 | |
| 8 | 2017 | 32 | |
| 9 | 2009 | 29 | |
| 10 | 2014 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2018 | 22 | |
| 13 | 2016 | 20 | |
| 14 | 2024 | 16 | |
| 15 | 2017 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 13 |
About Nir Pillar
Nir Pillar is a scholar working on Biophysics, Cancer Research, Media Technology, Molecular Biology and Genetics, having authored 53 papers that have together received 979 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), MicroRNA in disease regulation (7 papers), AI in cancer detection (6 papers), Image Processing Techniques and Applications (5 papers), Circular RNAs in diseases (5 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (2 papers) and Digital Holography and Microscopy (2 papers). The work is most often cited by research in Biophysics (117 citations), Cancer Research (182 citations), Biological Psychiatry (16 citations), Media Technology (50 citations) and Molecular Biology (340 citations). Nir Pillar has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Noam Shomron, Aydogan Özcan, Yuzhu Li, Yijie Zhang, Xilin Yang, Bijie Bai, Daphna Weissglas‐Volkov, Reza Mirnezami, Tim Underwood and Rahul Bhome. Their work appears in journals such as Nature Communications, Journal of Psychiatric Research, Light Science & Applications, Science Advances and Oncotarget.
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.