Meena Krishania

52 total papers · 1.0k total citations
38 papers, 774 citations indexed

About

Meena Krishania is a scholar working on Biomedical Engineering, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Meena Krishania has authored 38 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Molecular Biology and 15 papers in Nutrition and Dietetics. Recurrent topics in Meena Krishania's work include Biofuel production and bioconversion (18 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Phytochemicals and Antioxidant Activities (7 papers). Meena Krishania is often cited by papers focused on Biofuel production and bioconversion (18 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Phytochemicals and Antioxidant Activities (7 papers). Meena Krishania collaborates with scholars based in India, United States and Switzerland. Meena Krishania's co-authors include Virendra Kumar Vijay, Ram Chandra, S. P. Singh, R. S. Sangwan, Virendra Kumar, Anushree Malik, Dalveer Kaur, Vinod Kumar, Anita Kumari and Vandita Tiwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Scientific Reports.

In The Last Decade

Meena Krishania

37 papers receiving 744 citations

Author Peers

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

Author Last Decade Papers Cites
Meena Krishania 330 208 163 157 131 38 774
Jean‐Charles Motte 316 1.0× 237 1.1× 347 2.1× 69 0.4× 148 1.1× 32 898
João Paulo Bender 512 1.6× 271 1.3× 51 0.3× 155 1.0× 87 0.7× 49 824
Fang Wang 236 0.7× 246 1.2× 39 0.2× 97 0.6× 302 2.3× 55 785
Mette Marie Løkke 157 0.5× 180 0.9× 43 0.3× 97 0.6× 212 1.6× 22 781
Krishna Nand 379 1.1× 328 1.6× 262 1.6× 120 0.8× 203 1.5× 37 909
Vesna Vučurović 290 0.9× 186 0.9× 33 0.2× 101 0.6× 136 1.0× 40 626
Faisal Nureldin Awad 304 0.9× 230 1.1× 60 0.4× 67 0.4× 148 1.1× 17 787
Alexandre Soares dos Santos 248 0.8× 238 1.1× 70 0.4× 50 0.3× 97 0.7× 78 806
Dušanka Pejin 482 1.5× 355 1.7× 53 0.3× 146 0.9× 150 1.1× 31 727
Juliana Vasco‐Correa 445 1.3× 156 0.8× 273 1.7× 46 0.3× 111 0.8× 17 812

Countries citing papers authored by Meena Krishania

Since Specialization
Citations

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

Fields of papers citing papers by Meena Krishania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meena Krishania

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