Pahini Pandya

1.4k citations
11 papers · 699 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Microtubule and mitosis dynamics (3 papers)Cancer, Hypoxia, and Metabolism (2 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute

In The Last Decade

Pahini Pandya

11 papers receiving 693 citations

Peers

Pahini Pandya
Comparison fields: 5 of 94
  • Molecular Biology 327
  • Oncology 236
  • Cell Biology 220
  • Cancer Research 149
  • Biomedical Engineering 88
Replace Johann Kern with:
Johann Kern Germany
Tatsiana Kosciuk United States
Jessica Konen United States
Л. А. Таширева Russia
Gaia Cantelli United Kingdom
Euphemia W. Mu United States
Aleksandra M. Michalowski United States
Reiko Satow Japan
Mazvita Maziveyi United States
Pahini Pandya relative to Johann Kern Germany Johann Kern's profile →
Citations per field
00.5×1.7×
Johann Kern · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Pahini Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Pahini Pandya. A scholar is included among the top collaborators of Pahini Pandya 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 Pahini Pandya. Pahini Pandya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 1
3 12
4 48
5 1
6 96
7 86
8 130
9 154
10 145
11 25

About Pahini Pandya

Pahini Pandya is a scholar working on Cancer Research, Oncology and Cell Biology, having authored 11 papers that have together received 699 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Microtubule and mitosis dynamics (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cell Biology (220 citations), Cancer Research (149 citations) and Oncology (236 citations). Pahini Pandya has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Victoria Sanz‐Moreno, José L. Orgaz, Irene Rodríguez‐Hernández, Panagiotis Karagiannis, Sophia N. Karagiannis, Gaia Cantelli, Fernando Calvo, Erik Sahai, Cecilia Herráiz and Amaya Virós. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

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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