Pahini Pandya

1.4k total citations
11 papers, 699 citations indexed

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 699 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 Radiomics and Machine Learning in Medical Imaging (3 papers), Microtubule and mitosis dynamics (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Pahini Pandya is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Microtubule and mitosis dynamics (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, Panagiotis Karagiannis, Sophia N. Karagiannis, Fernando Calvo, Gaia Cantelli, Erik Sahai, Cecilia Herráiz and Jean Albrengues and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Pahini Pandya

11 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pahini Pandya United Kingdom	8	327	236	220	149	88	11	699
Tatsiana Kosciuk United States	10	317 1.0×	216 0.9×	153 0.7×	110 0.7×	51 0.6×	10	677
Johann Kern Germany	18	454 1.4×	208 0.9×	128 0.6×	162 1.1×	109 1.2×	55	863
Jessica Konen United States	15	367 1.1×	361 1.5×	192 0.9×	189 1.3×	112 1.3×	24	752
Gaia Cantelli United Kingdom	11	419 1.3×	235 1.0×	102 0.5×	136 0.9×	50 0.6×	12	845
Л. А. Таширева Russia	17	275 0.8×	375 1.6×	104 0.5×	227 1.5×	73 0.8×	94	741
Euphemia W. Mu United States	13	262 0.8×	449 1.9×	95 0.4×	179 1.2×	54 0.6×	31	822
Mazvita Maziveyi United States	7	588 1.8×	261 1.1×	90 0.4×	280 1.9×	39 0.4×	9	858
Karla Esbona United States	13	327 1.0×	238 1.0×	91 0.4×	228 1.5×	116 1.3×	20	797
Fangjie Yan China	13	556 1.7×	210 0.9×	191 0.9×	126 0.8×	52 0.6×	23	742

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

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11 of 11 papers shown

Walsh, Elizabeth, Salim Arslan, Rebecca Millican‐Slater, et al.. (2025). A Deep-Learning Solution Identifies HER2 Negative Cases and Provides ER and PR Results From H&E-Stained Breast Cancer Specimens: A Blind Validation Study. Clinical Breast Cancer. 25(7). 650–657. 1 indexed citations

Arslan, Salim, Gareth Bryson, David J. Harrison, et al.. (2024). Abstract PO3-07-05: Multi-site validation of a deep learning solution for ER/PR profiling of breast cancer from H&E-stained pathology slides. Cancer Research. 84(9_Supplement). PO3–7. 1 indexed citations

Arslan, Salim, et al.. (2024). A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images. SHILAP Revista de lepidopterología. 4(1). 48–48. 12 indexed citations

Crosas‐Molist, Eva, Vittoria Graziani, Óscar Maiques, et al.. (2023). AMPK is a mechano-metabolic sensor linking cell adhesion and mitochondrial dynamics to Myosin-dependent cell migration. Nature Communications. 14(1). 2740–2740. 48 indexed citations

Crosas‐Molist, Eva, Óscar Maiques, Pahini Pandya, et al.. (2021). AMPK is a Mechano-Metabolic Sensor Linking Mitochondrial Dynamics to Myosin II Dependent Cell Migration. SSRN Electronic Journal. 1 indexed citations

Orgaz, José L., Eva Crosas‐Molist, Amine Sadok, et al.. (2020). Myosin II Reactivation and Cytoskeletal Remodeling as a Hallmark and a Vulnerability in Melanoma Therapy Resistance. Cancer Cell. 37(1). 85–103.e9. 96 indexed citations

Pandya, Pahini, José L. Orgaz, & Victoria Sanz‐Moreno. (2017). Actomyosin contractility and collective migration: may the force be with you. Current Opinion in Cell Biology. 48. 87–96. 86 indexed citations

Pandya, Pahini, José L. Orgaz, & Victoria Sanz‐Moreno. (2016). Modes of invasion during tumour dissemination. Molecular Oncology. 11(1). 5–27. 130 indexed citations

Herráiz, Cecilia, Fernando Calvo, Pahini Pandya, et al.. (2015). Reactivation of p53 by a Cytoskeletal Sensor to Control the Balance Between DNA Damage and Tumor Dissemination. JNCI Journal of the National Cancer Institute. 108(1). djv289–djv289. 154 indexed citations

10.

Orgaz, José L., Pahini Pandya, Panagiotis Karagiannis, et al.. (2014). Diverse matrix metalloproteinase functions regulate cancer amoeboid migration. Nature Communications. 5(1). 4255–4255. 145 indexed citations

11.

Vermeer, Louic S., Gilbert O. Fruhwirth, Pahini Pandya, Tony Ng, & A. James Mason. (2012). NMR Metabolomics of MTLn3E Breast Cancer Cells Identifies a Role for CXCR4 in Lipid and Choline Regulation. Journal of Proteome Research. 11(5). 2996–3003. 25 indexed citations

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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