Priya Pai

762 total citations
19 papers, 600 citations indexed

About

Priya Pai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Priya Pai has authored 19 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Priya Pai's work include Glycosylation and Glycoproteins Research (5 papers), MicroRNA in disease regulation (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Priya Pai is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), MicroRNA in disease regulation (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Priya Pai collaborates with scholars based in United States, China and India. Priya Pai's co-authors include Surinder K. Batra, Satyanarayana Rachagani, Saraswati Sukumar, Muzafar A. Macha, Maneesh Jain, Moorthy P. Ponnusamy, Lynette M. Smith, Shiv Ram Krishn, Punita Dhawan and Suprit Gupta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Priya Pai

19 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Pai United States 15 368 185 176 90 61 19 600
Vitalba Ruggieri Italy 17 374 1.0× 187 1.0× 109 0.6× 65 0.7× 52 0.9× 29 650
Bingxue Shang China 11 318 0.9× 126 0.7× 123 0.7× 82 0.9× 38 0.6× 17 594
Fang Sui China 14 394 1.1× 142 0.8× 137 0.8× 68 0.8× 38 0.6× 33 663
Irit Snir-Alkalay Israel 5 416 1.1× 108 0.6× 243 1.4× 104 1.2× 34 0.6× 8 633
Gülçin Tezcan Türkiye 17 519 1.4× 322 1.7× 125 0.7× 98 1.1× 52 0.9× 64 828
Yanjun Wu China 15 454 1.2× 188 1.0× 134 0.8× 69 0.8× 80 1.3× 42 746
Jin Zheng China 16 388 1.1× 129 0.7× 82 0.5× 114 1.3× 46 0.8× 36 693

Countries citing papers authored by Priya Pai

Since Specialization
Citations

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

Fields of papers citing papers by Priya Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Pai

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

All Works

19 of 19 papers shown
1.
Wang, Guannan, Preethi Korangath, Tapan K. Bera, et al.. (2022). Intraductal administration of transferrin receptor-targeted immunotoxin clears ductal carcinoma in situ in mouse models of breast cancer—a preclinical study. Proceedings of the National Academy of Sciences. 119(24). e2200200119–e2200200119. 14 indexed citations
2.
Pai, Priya, Guannan Wang, Wei Wen Teo, et al.. (2022). HOXA5-Mediated Stabilization of IκBα Inhibits the NF-κB Pathway and Suppresses Malignant Transformation of Breast Epithelial Cells. Cancer Research. 82(20). 3802–3814. 7 indexed citations
3.
Pothuraju, Ramesh, Priya Pai, Sanjib Chaudhary, et al.. (2022). Depletion of transmembrane mucin 4 (Muc4) alters intestinal homeostasis in a genetically engineered mouse model of colorectal cancer. Aging. 14(5). 2025–2046. 12 indexed citations
4.
Pai, Priya & Saraswati Sukumar. (2020). HOX genes and the NF-κB pathway: A convergence of developmental biology, inflammation and cancer biology. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1874(2). 188450–188450. 45 indexed citations
5.
Jonkers, Jos, Priya Pai, & Saraswati Sukumar. (2020). Multiple roles of HOX proteins in Metastasis: Let me count the ways. Cancer and Metastasis Reviews. 39(3). 661–679. 21 indexed citations
6.
Pothuraju, Ramesh, Shiv Ram Krishn, Shailendra K. Gautam, et al.. (2020). Mechanistic and Functional Shades of Mucins and Associated Glycans in Colon Cancer. Cancers. 12(3). 649–649. 51 indexed citations
7.
Wang, Guannan, Chuang Chen, Priya Pai, et al.. (2019). Intraductal fulvestrant for therapy of ERα-positive ductal carcinoma in situ of the breast: a preclinical study. Carcinogenesis. 40(7). 903–913. 17 indexed citations
8.
Pai, Priya, Satyanarayana Rachagani, Punita Dhawan, & Surinder K. Batra. (2016). Mucins and Wnt/β-catenin signaling in gastrointestinal cancers: an unholy nexus. Carcinogenesis. 37(3). 223–232. 54 indexed citations
9.
Krishn, Shiv Ram, Sukhwinder Kaur, Yuri Sheinin, et al.. (2016). Mucins and associated O-glycans based immunoprofile for stratification of colorectal polyps: clinical implication for improved colon surveillance. Oncotarget. 8(4). 7025–7038. 17 indexed citations
10.
Gupta, Suprit, Satyanarayana Rachagani, Yan Zhang, et al.. (2016). Biomarkers for glioblastoma: MMP2 and NGAL.. Journal of Clinical Oncology. 34(15_suppl). e13516–e13516. 3 indexed citations
11.
Pai, Priya, Satyanarayana Rachagani, Punita Dhawan, et al.. (2016). MUC4 is negatively regulated through the Wnt/β-catenin pathway via the Notch effector Hath1 in colorectal cancer. Genes & Cancer. 7(5-6). 154–168. 19 indexed citations
12.
Pai, Priya, Satyanarayana Rachagani, Imayavaramban Lakshmanan, et al.. (2015). The canonical Wnt pathway regulates the metastasis‐promoting mucin MUC4 in pancreatic ductal adenocarcinoma. Molecular Oncology. 10(2). 224–239. 26 indexed citations
13.
Rachagani, Satyanarayana, Muzafar A. Macha, Parama Dey, et al.. (2015). Changes in microRNA (miRNA) expression during pancreatic cancer development and progression in a genetically engineered KrasG12D;Pdx1-Cre mouse (KC) model. Oncotarget. 6(37). 40295–40309. 44 indexed citations
14.
Macha, Muzafar A., Parthasarathy Seshacharyulu, Shiv Ram Krishn, et al.. (2014). MicroRNAs (miRNAs) as Biomarker(s) for Prognosis and Diagnosis of Gastrointestinal (GI) Cancers. Current Pharmaceutical Design. 20(33). 5287–5297. 66 indexed citations
15.
Macha, Muzafar A., Satyanarayana Rachagani, Suprit Gupta, et al.. (2013). Guggulsterone decreases proliferation and metastatic behavior of pancreatic cancer cells by modulating JAK/STAT and Src/FAK signaling. Cancer Letters. 341(2). 166–177. 69 indexed citations
16.
Mukhopadhyay, Partha, Imayavaramban Lakshmanan, Moorthy P. Ponnusamy, et al.. (2013). MUC4 Overexpression Augments Cell Migration and Metastasis through EGFR Family Proteins in Triple Negative Breast Cancer Cells. PLoS ONE. 8(2). e54455–e54455. 56 indexed citations
17.
Pai, Priya, Satyanarayana Rachagani, Chandrakanth Are, & Surinder K. Batra. (2013). Prospects of miRNA-Based Therapy for Pancreatic Cancer. Current Drug Targets. 14(10). 1101–1109. 29 indexed citations
18.
Shenoy, Smita, Hemanth Kumar, Veena Nayak, et al.. (2012). Hepatoprotective activity of plectranthus amboinicus against paracetamol induced hepatotoxicity in rats. 10 indexed citations
19.
Pai, Priya, et al.. (2011). Altered Biochemical Parameters in Saliva of Pediatric Attention Deficit Hyperactivity Disorder. Neurochemical Research. 37(2). 330–334. 40 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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