Nipa Patel

547 total citations
16 papers, 437 citations indexed

About

Nipa Patel is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Nipa Patel has authored 16 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Nipa Patel's work include Autophagy in Disease and Therapy (7 papers), Pain Mechanisms and Treatments (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). Nipa Patel is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Pain Mechanisms and Treatments (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). Nipa Patel collaborates with scholars based in United States, Jordan and China. Nipa Patel's co-authors include David A. Gewirtz, Jingwen Xu, J. Chuck Harrell, Masoud H. Manjili, Tareq Saleh, Justin L. Poklis, M. Imad Damaj, Truong Lam, Romain Harmancey and Hernán Vásquez and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

Nipa Patel

16 papers receiving 432 citations

Peers

Nipa Patel
Hwanju Cheon South Korea
Nipa Patel
Citations per year, relative to Nipa Patel Nipa Patel (= 1×) peers Hwanju Cheon

Countries citing papers authored by Nipa Patel

Since Specialization
Citations

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

Fields of papers citing papers by Nipa Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nipa Patel

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

All Works

16 of 16 papers shown
2.
Patel, Nipa, et al.. (2022). STUDY OF ACTIVITY OF CATALASE ENZYME IN VARIOUS FRUITS. 1(2). 216–221. 1 indexed citations
3.
Patel, Nipa, et al.. (2021). Autophagy and senescence in cancer therapy. Advances in cancer research. 150. 1–74. 22 indexed citations
4.
Caillaud, Martial, Nipa Patel, M Wood, et al.. (2021). Targeting Peroxisome Proliferator-Activated Receptor-α (PPAR- α) to reduce paclitaxel-induced peripheral neuropathy. Brain Behavior and Immunity. 93. 172–185. 38 indexed citations
6.
Toma, Wisam, Martial Caillaud, Nipa Patel, et al.. (2021). N‐acylethanolamine‐hydrolysing acid amidase: A new potential target to treat paclitaxel‐induced neuropathy. European Journal of Pain. 25(6). 1367–1380. 6 indexed citations
7.
Patel, Nipa, Jingwen Xu, Tareq Saleh, et al.. (2020). Influence of nonprotective autophagy and the autophagic switch on sensitivity to cisplatin in non-small cell lung cancer cells. Biochemical Pharmacology. 175. 113896–113896. 23 indexed citations
8.
Saleh, Tareq, et al.. (2020). Studies of Non-Protective Autophagy Provide Evidence that Recovery from Therapy-Induced Senescence is Independent of Early Autophagy. International Journal of Molecular Sciences. 21(4). 1427–1427. 14 indexed citations
9.
Patel, Nipa, et al.. (2020). The Roles of Autophagy and Senescence in the Tumor Cell Response to Radiation. Radiation Research. 194(2). 103–103. 66 indexed citations
10.
Caillaud, Martial, Nipa Patel, Wisam Toma, et al.. (2020). A Fenofibrate Diet Prevents Paclitaxel-Induced Peripheral Neuropathy in Mice. Cancers. 13(1). 69–69. 23 indexed citations
11.
Xu, Jingwen, Nipa Patel, & David A. Gewirtz. (2020). Triangular Relationship between p53, Autophagy, and Chemotherapy Resistance. International Journal of Molecular Sciences. 21(23). 8991–8991. 57 indexed citations
12.
Curry, Zachary A., Jenny L. Wilkerson, Deniz Bağdaş, et al.. (2018). Monoacylglycerol Lipase Inhibitors Reverse Paclitaxel-Induced Nociceptive Behavior and Proinflammatory Markers in a Mouse Model of Chemotherapy-Induced Neuropathy. Journal of Pharmacology and Experimental Therapeutics. 366(1). 169–183. 61 indexed citations
13.
Xu, Jingwen, Nipa Patel, Tareq Saleh, et al.. (2018). Differential Radiation Sensitivity in p53 Wild-Type and p53-Deficient Tumor Cells Associated with Senescence but not Apoptosis or (Nonprotective) Autophagy. Radiation Research. 190(5). 538–538. 22 indexed citations
14.
Patel, Nipa, et al.. (2017). Developing the Preparation in STEM Leadership Programs for Undergraduate Academic Peer Leaders.. 22(1). 49–84. 5 indexed citations
15.
Lam, Truong, Romain Harmancey, Hernán Vásquez, et al.. (2016). Reversal of intramyocellular lipid accumulation by lipophagy and a p62-mediated pathway. Cell Death Discovery. 2(1). 16061–16061. 60 indexed citations
16.
Howard, Katherine M., et al.. (2011). Lipopolysaccharide and platelet-activating factor stimulate expression of platelet-activating factor acetylhydrolase via distinct signaling pathways. Inflammation Research. 60(8). 735–744. 16 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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