Nir Hananya
Impact in
- Bioengineering top 2%
- Analytical Chemistry and Sensors
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
Papers in
-
- Analytical Chemistry and Sensors 3
- Co-authors
- Doron Shabat (12 shared papers)Ori Green (7 shared papers)Christoph R. Bauer (2 shared papers)Ronit Satchi‐Fainaro (3 shared papers)Sara Gutkin (2 shared papers)Rachel Blau (1 shared paper)Tom W. Muir (3 shared papers)Dan Yang (1 shared paper)
- Journals
- Angewandte Chemie International Edition (5 papers)Journal of the American Chemical Society (2 papers)ACS Central Science (2 papers)Nature Reviews Genetics (1 paper)Molecules (1 paper)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Nir Hananya
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Bioengineering 141
- Biomedical Engineering 1.0k
- Biochemistry 149
- Spectroscopy 335
- Materials Chemistry 733
Countries citing papers authored by Nir Hananya
This map shows the geographic impact of Nir Hananya'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 Hananya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Hananya more than expected).
Fields of papers citing papers by Nir Hananya
This network shows the impact of papers produced by Nir Hananya. 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 Hananya. The network helps show where Nir Hananya may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Hananya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 300 | |
| 2 | 2016 | 225 | |
| 3 | 2017 | 212 | |
| 4 | 2017 | 196 | |
| 5 | 2019 | 188 | |
| 6 | 2020 | 185 | |
| 7 | 2018 | 175 | |
| 8 | 2018 | 70 | |
| 9 | 2023 | 54 | |
| 10 | 2022 | 46 | |
| 11 | 2019 | 43 | |
| 12 | 2021 | 38 | |
| 13 | 2023 | 17 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 2 |
About Nir Hananya
Nir Hananya is a scholar working on Bioengineering, Biophysics, Biomedical Engineering, Molecular Biology and Organic Chemistry, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (8 papers), Nanoplatforms for cancer theranostics (7 papers), Luminescence and Fluorescent Materials (3 papers), Analytical Chemistry and Sensors (3 papers), Photodynamic Therapy Research Studies (2 papers), Molecular Sensors and Ion Detection (2 papers), Click Chemistry and Applications (2 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Bioengineering (141 citations), Biomedical Engineering (1.0k citations), Biochemistry (149 citations), Spectroscopy (335 citations) and Materials Chemistry (733 citations). Nir Hananya has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Doron Shabat, Ori Green, Christoph R. Bauer, Ronit Satchi‐Fainaro, Sara Gutkin, Rachel Blau, Tom W. Muir, Dan Yang, Sen Ye and Jiangang Shen. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, ACS Central Science, Nature Reviews Genetics and Molecules.
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.