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
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 4
- Extracellular vesicles in disease 3
-
- MicroRNA in disease regulation 8
- Co-authors
- Noam Shomron (23 shared papers)Aydogan Özcan (8 shared papers)Yuzhu Li (6 shared papers)Yijie Zhang (3 shared papers)Bijie Bai (3 shared papers)Xilin Yang (3 shared papers)Daphna Weissglas‐Volkov (4 shared papers)Reza Mirnezami (1 shared paper)
- Journals
- Nature Communications (2 papers)Oncotarget (2 papers)Journal of Psychiatric Research (2 papers)Science Advances (2 papers)Genetics Research (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Nir Pillar
39 papers receiving 686 citations
Nir Pillar's Hit Papers
Peers
Comparison fields: 5 of 101
- Biophysics 91
- Cancer Research 203
- Biological Psychiatry 18
- Health Informatics 9
- Obstetrics and Gynecology 37
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 41 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 | 150 |
| 2 | 2017 | 121 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 36 | |
| 5 | 2016 | 34 | |
| 6 | 2017 | 30 | |
| 7 | 2018 | 26 | |
| 8 | 2014 | 26 | |
| 9 | 2009 | 26 | |
| 10 | 2016 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2020 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2017 | 9 |
About Nir Pillar
Nir Pillar is a scholar working on Molecular Biology, Cancer Research, Genetics, Biophysics and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 697 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cell Image Analysis Techniques (6 papers), Circular RNAs in diseases (6 papers), Image Processing Techniques and Applications (4 papers), RNA modifications and cancer (4 papers), AI in cancer detection (3 papers), Pregnancy and preeclampsia studies (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Biophysics (91 citations), Cancer Research (203 citations), Biological Psychiatry (18 citations), Health Informatics (9 citations) and Obstetrics and Gynecology (37 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, Bijie Bai, Xilin Yang, Daphna Weissglas‐Volkov, Reza Mirnezami, Tim Underwood and Stephen M. Thirdborough. Their work appears in journals such as Nature Communications, Oncotarget, Journal of Psychiatric Research, Science Advances and Genetics Research.
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.