Nina Berova
- Molecular Biology top 2%
- Spectroscopy top 0.1%
- Organic Chemistry top 0.5%
- Materials Chemistry top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Co-authors
- Gennaro PescitelliLorenzo Di BariKoji NakanishiRobert W. Woody香爾 中西Xuefei HuangAna G. PetrovicGloria Proni
- Topics
- Molecular spectroscopy and chirality (71 papers)Porphyrin and Phthalocyanine Chemistry (36 papers)Photoreceptor and optogenetics research (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyChemical Society Reviews
- Partner nations
- United StatesItalyJapan
In The Last Decade
Nina Berova
157 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 3.5k
- Spectroscopy 3.5k
- Organic Chemistry 3.2k
- Materials Chemistry 2.9k
- Atomic and Molecular Physics, and Optics 928
Countries citing papers authored by Nina Berova
This map shows the geographic impact of Nina Berova'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 Nina Berova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Berova more than expected).
Fields of papers citing papers by Nina Berova
This network shows the impact of papers produced by Nina Berova. 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 Nina Berova. The network helps show where Nina Berova may publish in the future.
Co-authorship network of co-authors of Nina Berova
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Berova. A scholar is included among the top collaborators of Nina Berova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Berova. Nina Berova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 48 | |
| 4 | Instrumentation, methodologies, and theoretical simulations | 4 |
| 5 | 316 | |
| 6 | 49 | |
| 7 | 78 | |
| 8 | 168 | |
| 9 | 60 | |
| 10 | 25 | |
| 11 | 33 | |
| 12 | Application of electronic circular dichroism in configurational and conformational analysis of organic compoundsbreakdown → | 1182 |
| 13 | 24 | |
| 14 | 32 | |
| 15 | 15 | |
| 16 | 35 | |
| 17 | 27 | |
| 18 | 34 | |
| 19 | 24 | |
| 20 | 18 |
About Nina Berova
Nina Berova is a scholar working on Spectroscopy, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 159 papers that have together received 9.0k indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (71 papers), Porphyrin and Phthalocyanine Chemistry (36 papers) and Photoreceptor and optogenetics research (23 papers). The work is most often cited by research in Spectroscopy (3.5k citations), Organic Chemistry (3.2k citations) and Materials Chemistry (2.9k citations). Nina Berova has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Gennaro Pescitelli, Lorenzo Di Bari, Koji Nakanishi, Robert W. Woody, 香爾 中西, Xuefei Huang, Ana G. Petrovic, Gloria Proni, Milan Baláž and Stefan Matile. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.
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.