Ayushi Jain

52 total papers · 911 total citations
28 papers, 604 citations indexed

About

Ayushi Jain is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Ayushi Jain has authored 28 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Materials Chemistry and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ayushi Jain's work include Environmental remediation with nanomaterials (7 papers), Analytical Chemistry and Sensors (5 papers) and Adsorption and biosorption for pollutant removal (4 papers). Ayushi Jain is often cited by papers focused on Environmental remediation with nanomaterials (7 papers), Analytical Chemistry and Sensors (5 papers) and Adsorption and biosorption for pollutant removal (4 papers). Ayushi Jain collaborates with scholars based in India, Saudi Arabia and United States. Ayushi Jain's co-authors include S.K. Mehta, Shweta Wadhawan, Vineet Kumar, Madhu Agarwal, V. K. Gupta, Sanjeev Sharma, Aashima Sharma, Suman Singh, Satish Kumar Pandey and L.P. Singh and has published in prestigious journals such as Chemical Physics Letters, Biotechnology and Bioengineering and ACS Omega.

In The Last Decade

Ayushi Jain

26 papers receiving 583 citations

Hit Papers

Role of nanomaterials as ... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ayushi Jain 288 206 156 109 73 28 604
Ganden Supriyanto 281 1.0× 219 1.1× 171 1.1× 118 1.1× 80 1.1× 39 652
Siti Zu Nurain Ahmad 298 1.0× 171 0.8× 171 1.1× 103 0.9× 88 1.2× 19 551
Zhiyun Kong 311 1.1× 144 0.7× 134 0.9× 94 0.9× 68 0.9× 25 582
Xinyu Ge 320 1.1× 184 0.9× 103 0.7× 108 1.0× 81 1.1× 27 573
Khairi R. Kalash 283 1.0× 152 0.7× 134 0.9× 81 0.7× 65 0.9× 22 513
Nomcebo H. Mthombeni 285 1.0× 193 0.9× 126 0.8× 114 1.0× 66 0.9× 27 555
A. K. Obidul Huq 252 0.9× 150 0.7× 100 0.6× 93 0.9× 65 0.9× 22 562
Mohd Nasir 251 0.9× 134 0.7× 95 0.6× 122 1.1× 59 0.8× 25 544
Mostafa Stitou 380 1.3× 165 0.8× 102 0.7× 172 1.6× 63 0.9× 34 671
Pamphile Ndagijimana 272 0.9× 139 0.7× 167 1.1× 109 1.0× 71 1.0× 32 593

Countries citing papers authored by Ayushi Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ayushi Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayushi Jain

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