Ravinder Sardana

32 total papers · 1.6k total citations
27 papers, 1.2k citations indexed

About

Ravinder Sardana is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Ravinder Sardana has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Biotechnology. Recurrent topics in Ravinder Sardana's work include Plant tissue culture and regeneration (15 papers), Transgenic Plants and Applications (13 papers) and CRISPR and Genetic Engineering (8 papers). Ravinder Sardana is often cited by papers focused on Plant tissue culture and regeneration (15 papers), Transgenic Plants and Applications (13 papers) and CRISPR and Genetic Engineering (8 papers). Ravinder Sardana collaborates with scholars based in Canada, United Kingdom and United States. Ravinder Sardana's co-authors include Illimar Altosaar, Xiongying Cheng, Harvey Kaplan, R. B. Flavell, Anil K. Dudani, E. Tackaberry, Michael R. O’Dell, Cui Hairui, Qingyao Shu and Peter R. Ganz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Journal and Theoretical and Applied Genetics.

In The Last Decade

Ravinder Sardana

27 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Ravinder Sardana 908 672 414 122 95 27 1.2k
Yakov E. Dunaevsky 618 0.7× 551 0.8× 230 0.6× 246 2.0× 50 0.5× 47 1.1k
Guy della-Cioppa 834 0.9× 783 1.2× 304 0.7× 76 0.6× 56 0.6× 19 1.2k
Alejandro Mentaberry 522 0.6× 479 0.7× 263 0.6× 28 0.2× 32 0.3× 36 1.0k
Sylvia de Pater 935 1.0× 846 1.3× 131 0.3× 54 0.4× 157 1.7× 32 1.3k
Elena N. Elpidina 783 0.9× 381 0.6× 147 0.4× 552 4.5× 89 0.9× 51 1.1k
Joanna Tripp 1.2k 1.3× 865 1.3× 76 0.2× 82 0.7× 52 0.5× 19 1.5k
Donald E. Foard 656 0.7× 682 1.0× 99 0.2× 144 1.2× 28 0.3× 32 949
Andrew J. Greenland 967 1.1× 1.0k 1.5× 246 0.6× 19 0.2× 70 0.7× 23 1.4k
Philip J. Dix 1.1k 1.3× 833 1.2× 440 1.1× 13 0.1× 40 0.4× 36 1.4k
Joan McPherson 746 0.8× 741 1.1× 322 0.8× 39 0.3× 54 0.6× 13 1.1k

Countries citing papers authored by Ravinder Sardana

Since Specialization
Citations

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

Fields of papers citing papers by Ravinder Sardana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravinder Sardana

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