Rashmi Kataria

43 total papers · 1.1k total citations
29 papers, 780 citations indexed

About

Rashmi Kataria is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Rashmi Kataria has authored 29 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Biomedical Engineering and 6 papers in Biomaterials. Recurrent topics in Rashmi Kataria's work include Biofuel production and bioconversion (16 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Enzyme Catalysis and Immobilization (7 papers). Rashmi Kataria is often cited by papers focused on Biofuel production and bioconversion (16 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Enzyme Catalysis and Immobilization (7 papers). Rashmi Kataria collaborates with scholars based in India, Sweden and Ireland. Rashmi Kataria's co-authors include Rohit Ruhal, Sanjoy Ghosh, Bijan Choudhury, Pravir Kumar, Ramesh Babu, Kevin E. O’Connor, Federico Cerrone, Trevor Woods, Reeta Davis and Solange I. Mussatto and has published in prestigious journals such as Bioresource Technology, Chemical Engineering Journal and Industrial Crops and Products.

In The Last Decade

Rashmi Kataria

28 papers receiving 766 citations

Hit Papers

Biofilm patterns in gram-... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Rashmi Kataria 347 335 187 84 78 29 780
Alejandro Huerta‐Saquero 277 0.8× 179 0.5× 97 0.5× 56 0.7× 87 1.1× 42 900
Ankita Dey 265 0.8× 141 0.4× 189 1.0× 71 0.8× 83 1.1× 40 709
Nikolay Stepanov 326 0.9× 307 0.9× 84 0.4× 53 0.6× 85 1.1× 68 791
Uwe Remminghorst 437 1.3× 96 0.3× 189 1.0× 110 1.3× 70 0.9× 9 783
Isfahan Tauseef 206 0.6× 161 0.5× 119 0.6× 27 0.3× 101 1.3× 49 790
Jianmei Su 276 0.8× 163 0.5× 75 0.4× 39 0.5× 126 1.6× 31 814
María A. Cubitto 185 0.5× 152 0.5× 151 0.8× 86 1.0× 81 1.0× 31 716
Hee-Jin Park 267 0.8× 273 0.8× 57 0.3× 30 0.4× 31 0.4× 36 872
Joseph Uknalis 182 0.5× 234 0.7× 135 0.7× 155 1.8× 60 0.8× 44 782
Chiara Ceresa 308 0.9× 133 0.4× 94 0.5× 52 0.6× 26 0.3× 32 799

Countries citing papers authored by Rashmi Kataria

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi Kataria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Kataria

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