Amit Kaushik

49 total papers · 2.4k total citations
26 papers, 1.9k citations indexed

About

Amit Kaushik is a scholar working on Plant Science, Polymers and Plastics and Genetics. According to data from OpenAlex, Amit Kaushik has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Polymers and Plastics and 4 papers in Genetics. Recurrent topics in Amit Kaushik's work include Polymer Nanocomposites and Properties (5 papers), Polymer composites and self-healing (4 papers) and Plant Genetic and Mutation Studies (3 papers). Amit Kaushik is often cited by papers focused on Polymer Nanocomposites and Properties (5 papers), Polymer composites and self-healing (4 papers) and Plant Genetic and Mutation Studies (3 papers). Amit Kaushik collaborates with scholars based in India, United States and Ukraine. Amit Kaushik's co-authors include Anthony M. Waas, Ellen M. Arruda, Nicholas A. Kotov, Paul Podsiadlo, Bong Sup Shim, Himabindu Nandivada, Ayyalusamy Ramamoorthy, Joerg Lahann, Jiadi Xu and Ming Qin and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Amit Kaushik

26 papers receiving 1.9k citations

Hit Papers

Ultrastrong and Stiff Lay... 2007 2026 2013 2019 2007 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Amit Kaushik 761 749 604 488 299 26 1.9k
Youxian Yan 903 1.2× 837 1.1× 458 0.8× 258 0.5× 166 0.6× 20 1.7k
Jani‐Markus Malho 1.5k 2.0× 941 1.3× 530 0.9× 349 0.7× 175 0.6× 24 2.1k
Jingsong Peng 717 0.9× 1.1k 1.5× 1.1k 1.7× 486 1.0× 159 0.5× 40 2.4k
Rafael Libanori 926 1.2× 1.3k 1.7× 619 1.0× 363 0.7× 107 0.4× 35 2.5k
Nifang Zhao 422 0.6× 759 1.0× 505 0.8× 328 0.7× 216 0.7× 19 1.8k
Haiyu Fang 504 0.7× 737 1.0× 1.5k 2.5× 372 0.8× 126 0.4× 23 2.2k
Kesong Hu 700 0.9× 1.1k 1.5× 998 1.7× 587 1.2× 138 0.5× 18 2.2k
Yewen Cao 449 0.6× 789 1.1× 888 1.5× 637 1.3× 196 0.7× 14 1.8k
Hewei Zhao 575 0.8× 827 1.1× 1.0k 1.7× 280 0.6× 78 0.3× 61 2.3k
Gaolai Du 445 0.6× 820 1.1× 530 0.9× 370 0.8× 107 0.4× 12 1.7k

Countries citing papers authored by Amit Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Kaushik

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