Ivan P. Bangov
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Infectious Diseases top 5%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Irini DoytchinovaIvan DimitrovDarren R. FlowerOvanes MekenyanDanail BonchevDaniel Cabrol‐BassNenad TrinajstićR. Radeglia
- Topics
- Computational Drug Discovery Methods (14 papers)Molecular spectroscopy and chirality (9 papers)Analytical Chemistry and Chromatography (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsAnalytica Chimica Acta
- Partner nations
- BulgariaFranceUnited Kingdom
In The Last Decade
Ivan P. Bangov
26 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 1.4k
- Radiology, Nuclear Medicine and Imaging 443
- Infectious Diseases 370
- Immunology 320
- Epidemiology 261
Countries citing papers authored by Ivan P. Bangov
This map shows the geographic impact of Ivan P. Bangov'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 Ivan P. Bangov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan P. Bangov more than expected).
Fields of papers citing papers by Ivan P. Bangov
This network shows the impact of papers produced by Ivan P. Bangov. 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 Ivan P. Bangov. The network helps show where Ivan P. Bangov may publish in the future.
Co-authorship network of co-authors of Ivan P. Bangov
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan P. Bangov. A scholar is included among the top collaborators of Ivan P. Bangov 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 Ivan P. Bangov. Ivan P. Bangov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | AllerTOP v.2—a server for in silico prediction of allergensbreakdown → | 936 |
| 3 | AllergenFP: allergenicity prediction by descriptor fingerprintsbreakdown → | 543 |
| 4 | Charge-related molecular index (CMI), a novel descriptor for quantitative structure/property relationship (QSPR) models. I. General considerations. | 1 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 3 |
About Ivan P. Bangov
Ivan P. Bangov is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Spectroscopy, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Molecular spectroscopy and chirality (9 papers) and Analytical Chemistry and Chromatography (8 papers). The work is most often cited by research in Biotechnology (205 citations), Microbiology (124 citations) and Molecular Biology (1.4k citations). Ivan P. Bangov has collaborated with scholars based in Bulgaria, France and United Kingdom. Frequent co-authors include Irini Doytchinova, Ivan Dimitrov, Darren R. Flower, Ovanes Mekenyan, Danail Bonchev, Daniel Cabrol‐Bass, Nenad Trinajstić, R. Radeglia, Kristiyan Kanev and Svetlana Simova. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytica Chimica Acta.
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.