Muskan Gupta

85 total papers · 761 total citations
34 papers, 387 citations indexed

About

Muskan Gupta is a scholar working on Computer Vision and Pattern Recognition, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Muskan Gupta has authored 34 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Muskan Gupta's work include Phytochemicals and Medicinal Plants (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Medicinal Plants and Neuroprotection (3 papers). Muskan Gupta is often cited by papers focused on Phytochemicals and Medicinal Plants (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Medicinal Plants and Neuroprotection (3 papers). Muskan Gupta collaborates with scholars based in India, Ethiopia and United States. Muskan Gupta's co-authors include Gurcharan Kaur, T R Mahesh, Vinoth Kumar Venkatesan, Suresh Guluwadi, Deepak K. Sinha, Manali Singh, Siddharth Gupta, Akash Gupta, Harpal Singh and Amrit Pal Singh and has published in prestigious journals such as Journal of Neuroinflammation, BMC Complementary and Alternative Medicine and Journal of Cachexia Sarcopenia and Muscle.

In The Last Decade

Muskan Gupta

26 papers receiving 370 citations

Hit Papers

Transformative Breast Can... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Muskan Gupta 111 59 56 47 38 34 387
Wen‐Yuan Lee 21 0.2× 42 0.7× 80 1.4× 13 0.3× 82 2.2× 35 408
Ran Wu 15 0.1× 34 0.6× 43 0.8× 7 0.1× 31 0.8× 17 408
Ying He 33 0.3× 14 0.2× 41 0.7× 8 0.2× 36 0.9× 28 339
Rongying Li 27 0.2× 18 0.3× 14 0.3× 17 0.4× 55 1.4× 22 358
Sheetal D Ullal 35 0.3× 5 0.1× 16 0.3× 29 0.6× 44 1.2× 47 424
Yang Yang 211 1.9× 6 0.1× 16 0.3× 37 0.8× 40 1.1× 48 420
Xiaomei Tao 74 0.7× 10 0.2× 21 0.4× 9 0.2× 59 1.6× 28 360
Shuang Hu 32 0.3× 10 0.2× 11 0.2× 19 0.4× 84 2.2× 25 333
Silvia Aparicio Obregón 16 0.1× 14 0.2× 9 0.2× 36 0.8× 87 2.3× 19 401
Mónica Dias-Teixeira 38 0.3× 4 0.1× 21 0.4× 28 0.6× 53 1.4× 14 422

Countries citing papers authored by Muskan Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Muskan Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muskan Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Muskan Gupta. A scholar is included among the top collaborators of Muskan Gupta 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 Muskan Gupta. Muskan Gupta 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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