Petrina Kamya

8 papers and 200 indexed citations i.

About

Petrina Kamya is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Petrina Kamya has authored 8 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 2 papers in Molecular Biology and 2 papers in Materials Chemistry. Recurrent topics in Petrina Kamya’s work include Computational Drug Discovery Methods (4 papers), Synthesis and Properties of Aromatic Compounds (2 papers) and Machine Learning in Materials Science (2 papers). Petrina Kamya is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Synthesis and Properties of Aromatic Compounds (2 papers) and Machine Learning in Materials Science (2 papers). Petrina Kamya collaborates with scholars based in Hong Kong, Canada and United States. Petrina Kamya's co-authors include Feng Ren, Alex Zhavoronkov, Alex Aliper, Heidi M. Muchall, Daniil Polykovskiy, Dmitry S. Bezrukov, Yan A. Ivanenkov, Bogdan Zagribelnyy, Vladimir Aladinskiy and Yen‐Chu Lin and has published in prestigious journals such as The Journal of Physical Chemistry A, Clinical Pharmacology & Therapeutics and Drug Discovery Today.

In The Last Decade

Co-authorship network of co-authors of Petrina Kamya i

Fields of papers citing papers by Petrina Kamya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petrina Kamya. 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 Petrina Kamya. The network helps show where Petrina Kamya may publish in the future.

Countries citing papers authored by Petrina Kamya

Since Specialization
Citations

This map shows the geographic impact of Petrina Kamya'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 Petrina Kamya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petrina Kamya more than expected).

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.

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2025