Maya Datt Joshi

765 total citations
14 papers, 644 citations indexed

About

Maya Datt Joshi is a scholar working on Molecular Biology, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maya Datt Joshi has authored 14 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maya Datt Joshi's work include Glycosylation and Glycoproteins Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Plant Micronutrient Interactions and Effects (2 papers). Maya Datt Joshi is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Plant Micronutrient Interactions and Effects (2 papers). Maya Datt Joshi collaborates with scholars based in United States and India. Maya Datt Joshi's co-authors include Rehan Ahmad, Donald Küfe, Surender Kharbanda, Takeshi Kawano, Deepak Raina, Hasan Rajabi, Maroof Alam, Jian Ren, Baldev Vasir and Caining Jin and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Maya Datt Joshi

13 papers receiving 639 citations

Peers

Maya Datt Joshi
Stephen I. Rudnick United States
Stefan R. Vink Netherlands
Nandini Mondal United States
So Ohta Japan
Rick Lesniewski United States
Maya Datt Joshi
Citations per year, relative to Maya Datt Joshi Maya Datt Joshi (= 1×) peers Marie-Christine Multon

Countries citing papers authored by Maya Datt Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Maya Datt Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Datt Joshi. 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 Maya Datt Joshi. The network helps show where Maya Datt Joshi may publish in the future.

Co-authorship network of co-authors of Maya Datt Joshi

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

All Works

14 of 14 papers shown
1.
Kumar, Neeraj, et al.. (2025). Carbon dots as smart biosensing and imaging materials delving with antimicrobial, antifungal, and antiviral potentials against infectious pathogens. Journal of the Chinese Chemical Society. 72(2). 163–185. 3 indexed citations
3.
Joshi, Rajeshree, et al.. (2019). PKG Movement Recording System Use Shows Promise in Routine Clinical Care of Patients With Parkinson's Disease. Frontiers in Neurology. 10. 1027–1027. 42 indexed citations
4.
Sharma, Jyoti, et al.. (2018). Phytochemical analysis and Antibacterial properties of Azadirachta indica (Neem) leaves extract against E.coli. Journal of Pharmacognosy and Phytochemistry. 7(4). 1368–1371. 11 indexed citations
5.
Joshi, Maya Datt, et al.. (2018). Genetically Modified Crops & their advantages over traditional crops. Journal of Emerging Technologies and Innovative Research. 5(1). 265-271–265-271.
6.
Rajabi, Hasan, Rehan Ahmad, Caining Jin, et al.. (2012). MUC1‐C oncoprotein confers androgen‐independent growth of human prostate cancer cells. The Prostate. 72(15). 1659–1668. 45 indexed citations
7.
Rajabi, Hasan, Rehan Ahmad, Caining Jin, et al.. (2012). MUC1-C Oncoprotein Induces TCF7L2 Transcription Factor Activation and Promotes Cyclin D1 Expression in Human Breast Cancer Cells. Journal of Biological Chemistry. 287(13). 10703–10713. 65 indexed citations
8.
Rajabi, Hasan, Maya Datt Joshi, Caining Jin, Rehan Ahmad, & Donald Küfe. (2011). Androgen receptor regulates expression of the MUC1‐C oncoprotein in human prostate cancer cells. The Prostate. 71(12). 1299–1308. 31 indexed citations
9.
Ahmad, Rehan, Hasan Rajabi, Michio Kosugi, et al.. (2011). MUC1-C Oncoprotein Promotes STAT3 Activation in an Autoinductive Regulatory Loop. Science Signaling. 4(160). ra9–ra9. 84 indexed citations
10.
Joshi, Maya Datt, Rehan Ahmad, Yin Li, et al.. (2009). MUC1 oncoprotein is a druggable target in human prostate cancer cells. Molecular Cancer Therapeutics. 8(11). 3056–3065. 63 indexed citations
11.
Ahmad, Rehan, Deepak Raina, Maya Datt Joshi, et al.. (2009). MUC1-C Oncoprotein Functions as a Direct Activator of the Nuclear Factor-κB p65 Transcription Factor. Cancer Research. 69(17). 7013–7021. 163 indexed citations
12.
Raina, Deepak, Rehan Ahmad, Maya Datt Joshi, et al.. (2009). Direct Targeting of the Mucin 1 Oncoprotein Blocks Survival and Tumorigenicity of Human Breast Carcinoma Cells. Cancer Research. 69(12). 5133–5141. 125 indexed citations
13.
Srivastava, R. C., C. Johansen, Maya Datt Joshi, et al.. (2005). Severe boron deficiency limiting grain legumes in the inner Terai of Nepal.. 67–76. 4 indexed citations
14.
Srivastava, R. C., et al.. (1999). Boron deficiency of lentil in Nepal. 4 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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