Pahini Pandya

11 papers and 632 indexed citations i.

About

Pahini Pandya is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Pahini Pandya has authored 11 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Pahini Pandya’s work include Microtubule and mitosis dynamics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Pahini Pandya is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Pahini Pandya collaborates with scholars based in United Kingdom, Germany and Spain. Pahini Pandya's co-authors include Victoria Sanz‐Moreno, José L. Orgaz, Irene Rodríguez‐Hernández, Sophia N. Karagiannis, Gaia Cantelli, Panagiotis Karagiannis, Fernando Calvo, Erik Sahai, Cecilia Herráiz and Frank O. Nestlé and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Cell.

In The Last Decade

Co-authorship network of co-authors of Pahini Pandya i

Fields of papers citing papers by Pahini Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pahini Pandya

Since Specialization
Citations

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