Aakanksha Pant

25 total papers · 870 total citations
20 papers, 693 citations indexed

About

Aakanksha Pant is a scholar working on Biomedical Engineering, Automotive Engineering and Pharmaceutical Science. According to data from OpenAlex, Aakanksha Pant has authored 20 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Automotive Engineering and 3 papers in Pharmaceutical Science. Recurrent topics in Aakanksha Pant's work include Additive Manufacturing and 3D Printing Technologies (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Advanced Drug Delivery Systems (2 papers). Aakanksha Pant is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Advanced Drug Delivery Systems (2 papers). Aakanksha Pant collaborates with scholars based in Singapore, China and India. Aakanksha Pant's co-authors include Chee Kai Chua, U-Xuan Tan, Michinao Hashimoto, Gladys Wong, Cheng Pau Lee, Amelia Yilin Lee, Jia An, Rahul Karyappa, Yi Zhang and Giorgia Pastorin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nanoscale.

In The Last Decade

Aakanksha Pant

19 papers receiving 682 citations

Hit Papers

3D food printing of fresh... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Aakanksha Pant 238 219 127 122 67 20 693
Amelia Yilin Lee 310 1.3× 307 1.4× 136 1.1× 95 0.8× 64 1.0× 8 760
Cheng Pau Lee 327 1.4× 223 1.0× 137 1.1× 142 1.2× 68 1.0× 14 573
Arianna Dick 431 1.8× 279 1.3× 168 1.3× 191 1.6× 111 1.7× 10 789
Gladys Wong 354 1.5× 218 1.0× 139 1.1× 144 1.2× 77 1.1× 8 606
Richard J. A. Moakes 54 0.2× 166 0.8× 94 0.7× 155 1.3× 5 0.1× 26 661
Kamil P. Drapala 166 0.7× 126 0.6× 71 0.6× 491 4.0× 6 0.1× 17 754
Eleftherios G. Andriotis 120 0.5× 251 1.1× 148 1.2× 74 0.6× 3 0.0× 34 661
Motaharesadat Hosseini 23 0.1× 164 0.7× 161 1.3× 22 0.2× 6 0.1× 39 660
Joanna Mystkowska 50 0.2× 203 0.9× 141 1.1× 27 0.2× 10 0.1× 46 730
Kaiyang Lim 18 0.1× 207 0.9× 142 1.1× 94 0.8× 6 0.1× 19 782

Countries citing papers authored by Aakanksha Pant

Since Specialization
Citations

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

Fields of papers citing papers by Aakanksha Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aakanksha Pant

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