Maya Datt Joshi

80 total papers · 761 total citations
14 papers, 641 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 641 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 Prostate Cancer Treatment and Research (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 Prostate Cancer Treatment and Research (2 papers). Maya Datt Joshi collaborates with scholars based in United States and India. Maya Datt Joshi's co-authors include Donald Küfe, Rehan Ahmad, 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 636 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maya Datt Joshi 481 178 142 115 112 14 641
Robert Hinderer 498 1.0× 116 0.7× 199 1.4× 125 1.1× 50 0.4× 14 755
Keiichiro Sakuma 403 0.8× 126 0.7× 165 1.2× 49 0.4× 89 0.8× 19 567
Marie-Christine Multon 441 0.9× 138 0.8× 68 0.5× 66 0.6× 90 0.8× 14 666
Roberto Bitton 427 0.9× 107 0.6× 235 1.7× 96 0.8× 36 0.3× 10 556
Erich Weber 417 0.9× 394 2.2× 173 1.2× 48 0.4× 104 0.9× 17 757
Kavitha Ramachandran 627 1.3× 124 0.7× 142 1.0× 105 0.9× 133 1.2× 22 778
Linda K. Woods 354 0.7× 164 0.9× 71 0.5× 50 0.4× 104 0.9× 10 624
Anne Fertitta 491 1.0× 99 0.6× 70 0.5× 47 0.4× 72 0.6× 11 712
James W. Purcell 266 0.6× 288 1.6× 124 0.9× 56 0.5× 80 0.7× 18 581
J Murata 399 0.8× 201 1.1× 102 0.7× 89 0.8× 129 1.2× 15 749

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

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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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