Shilpi Gupta

94 total papers · 3.8k total citations
59 papers, 2.8k citations indexed

About

Shilpi Gupta is a scholar working on Molecular Biology, Aquatic Science and Food Science. According to data from OpenAlex, Shilpi Gupta has authored 59 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Aquatic Science and 12 papers in Food Science. Recurrent topics in Shilpi Gupta's work include Seaweed-derived Bioactive Compounds (14 papers), Protein Hydrolysis and Bioactive Peptides (10 papers) and Moringa oleifera research and applications (8 papers). Shilpi Gupta is often cited by papers focused on Seaweed-derived Bioactive Compounds (14 papers), Protein Hydrolysis and Bioactive Peptides (10 papers) and Moringa oleifera research and applications (8 papers). Shilpi Gupta collaborates with scholars based in United States, India and Ireland. Shilpi Gupta's co-authors include Nissreen Abu‐Ghannam, Sabrina Cox, Amit K. Jaiswal, Gaurav Rajauria, Daniel E. Kadouri, Chi Tang, Amalia G. M. Scannell, Nancy Connell, Bineeta Kashyap and Joseph Rinaggio and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shilpi Gupta

54 papers receiving 2.6k citations

Hit Papers

Bioactive potential and p... 2011 2026 2016 2021 2011 2024 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shilpi Gupta 1.3k 880 855 524 448 59 2.8k
Takashi Kuda 1.0k 0.8× 2.0k 2.2× 1.8k 2.1× 477 0.9× 737 1.6× 192 4.0k
Haijin Mou 975 0.8× 1.9k 2.1× 714 0.8× 562 1.1× 568 1.3× 128 4.2k
Nathalie Bourgougnon 1.6k 1.3× 800 0.9× 456 0.5× 566 1.1× 179 0.4× 113 3.5k
Imen Fendri 516 0.4× 673 0.8× 433 0.5× 519 1.0× 271 0.6× 116 2.6k
Ana M. L. Seca 570 0.5× 1.1k 1.3× 428 0.5× 827 1.6× 158 0.4× 66 2.7k
Gaurav Rajauria 1.5k 1.2× 774 0.9× 702 0.8× 666 1.3× 483 1.1× 81 3.1k
Weihua Jin 1.1k 0.9× 823 0.9× 273 0.3× 546 1.0× 313 0.7× 110 2.8k
Andrew P. Desbois 275 0.2× 853 1.0× 482 0.6× 299 0.6× 154 0.3× 41 2.6k
Ravindra Pal Singh 350 0.3× 723 0.8× 651 0.8× 1.1k 2.0× 762 1.7× 187 3.5k
Javier Carballo 477 0.4× 2.0k 2.3× 2.6k 3.0× 505 1.0× 834 1.9× 171 5.3k

Countries citing papers authored by Shilpi Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Shilpi Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpi Gupta

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