Mamata Singhvi

44 total papers · 2.5k total citations
34 papers, 1.8k citations indexed

About

Mamata Singhvi is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Mamata Singhvi has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 20 papers in Molecular Biology and 11 papers in Biomaterials. Recurrent topics in Mamata Singhvi's work include Biofuel production and bioconversion (19 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and biodegradable polymer synthesis and properties (10 papers). Mamata Singhvi is often cited by papers focused on Biofuel production and bioconversion (19 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and biodegradable polymer synthesis and properties (10 papers). Mamata Singhvi collaborates with scholars based in India, South Korea and Japan. Mamata Singhvi's co-authors include D. V. Gokhale, Smita Zinjarde, Beom Soo Kim, Mukund Adsul, Kenji Sonomoto, Takeshi Zendo, Anamika Kushwaha, Lalit Goswami, Aarti R. Deshmukh and J. M. Khire and has published in prestigious journals such as Bioresource Technology, Chemical Engineering Journal and Green Chemistry.

In The Last Decade

Mamata Singhvi

34 papers receiving 1.8k citations

Hit Papers

Polylactic acid: synthesi... 2019 2026 2021 2023 2019 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Mamata Singhvi 1.1k 719 605 192 165 34 1.8k
Alok Satlewal 1.2k 1.1× 395 0.5× 496 0.8× 170 0.9× 254 1.5× 30 1.7k
Hitomi Ohara 617 0.6× 741 1.0× 609 1.0× 205 1.1× 114 0.7× 105 2.0k
Nallusamy Sivakumar 716 0.7× 542 0.8× 613 1.0× 249 1.3× 276 1.7× 71 1.9k
Jixian Gong 754 0.7× 458 0.6× 320 0.5× 245 1.3× 246 1.5× 99 2.0k
Jian Yu 624 0.6× 892 1.2× 533 0.9× 505 2.6× 53 0.3× 56 1.7k
Tina Lütke‐Eversloh 747 0.7× 790 1.1× 1.4k 2.4× 344 1.8× 146 0.9× 30 2.1k
William E. Michener 986 0.9× 404 0.6× 646 1.1× 328 1.7× 289 1.8× 41 1.7k
Carla Silva 652 0.6× 625 0.9× 472 0.8× 100 0.5× 327 2.0× 79 1.9k
Numbi Ramudu Kamini 676 0.6× 658 0.9× 1.1k 1.8× 441 2.3× 284 1.7× 68 2.2k
R. Reshmy 637 0.6× 710 1.0× 455 0.8× 218 1.1× 160 1.0× 58 2.1k

Countries citing papers authored by Mamata Singhvi

Since Specialization
Citations

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

Fields of papers citing papers by Mamata Singhvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamata Singhvi

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