Monalisa Tiwari

45 total papers · 3.0k total citations
39 papers, 2.4k citations indexed

About

Monalisa Tiwari is a scholar working on Molecular Biology, Molecular Medicine and Pharmacology. According to data from OpenAlex, Monalisa Tiwari has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Molecular Medicine and 7 papers in Pharmacology. Recurrent topics in Monalisa Tiwari's work include Antibiotic Resistance in Bacteria (22 papers), Bacterial biofilms and quorum sensing (10 papers) and vaccines and immunoinformatics approaches (6 papers). Monalisa Tiwari is often cited by papers focused on Antibiotic Resistance in Bacteria (22 papers), Bacterial biofilms and quorum sensing (10 papers) and vaccines and immunoinformatics approaches (6 papers). Monalisa Tiwari collaborates with scholars based in India and Italy. Monalisa Tiwari's co-authors include Vishvanath Tiwari, Gianfranco Donelli, Vandana Solanki, Keval Gadani, P.S. Solanki, Neha Mishra, Nilesh Shah, Richa Joshi, Moganty R. Rajeswari and Pawan Kumar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Infection and Immunity.

In The Last Decade

Monalisa Tiwari

39 papers receiving 2.4k citations

Hit Papers

Strategies for combating ... 2017 2026 2020 2023 2017 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Monalisa Tiwari 1.2k 616 424 337 296 39 2.4k
Vishvanath Tiwari 1.7k 1.4× 993 1.6× 486 1.1× 419 1.2× 339 1.1× 73 3.2k
Aixin Yan 1.3k 1.1× 661 1.1× 246 0.6× 153 0.5× 185 0.6× 58 2.7k
Karishma R. Pardesi 912 0.8× 568 0.9× 971 2.3× 339 1.0× 258 0.9× 37 3.0k
Claudia Vuotto 1.2k 1.0× 596 1.0× 130 0.3× 302 0.9× 268 0.9× 33 2.5k
Qinqin Pu 1.2k 1.0× 397 0.6× 208 0.5× 315 0.9× 107 0.4× 43 2.2k
Tahir Hussain 895 0.8× 202 0.3× 294 0.7× 406 1.2× 219 0.7× 34 2.0k
Ivana Dakić 1.4k 1.2× 319 0.5× 367 0.9× 309 0.9× 639 2.2× 24 3.0k
Muhammad Aamir Aslam 644 0.5× 465 0.8× 182 0.4× 287 0.9× 274 0.9× 17 2.0k
Muhammad Khalid Farooq Salamat 735 0.6× 431 0.7× 182 0.4× 225 0.7× 245 0.8× 16 2.0k
Chung‐Dar Lu 1.8k 1.6× 359 0.6× 358 0.8× 191 0.6× 163 0.6× 69 2.5k

Countries citing papers authored by Monalisa Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Monalisa Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monalisa Tiwari

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