Muktika Tekade

166 total papers · 1.7k total citations
19 papers, 509 citations indexed

About

Muktika Tekade is a scholar working on Molecular Biology, Biomaterials and Polymers and Plastics. According to data from OpenAlex, Muktika Tekade has authored 19 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biomaterials and 6 papers in Polymers and Plastics. Recurrent topics in Muktika Tekade's work include Dendrimers and Hyperbranched Polymers (6 papers), RNA Interference and Gene Delivery (5 papers) and Advanced Drug Delivery Systems (4 papers). Muktika Tekade is often cited by papers focused on Dendrimers and Hyperbranched Polymers (6 papers), RNA Interference and Gene Delivery (5 papers) and Advanced Drug Delivery Systems (4 papers). Muktika Tekade collaborates with scholars based in India, Malaysia and United States. Muktika Tekade's co-authors include Rakesh Kumar Tekade, Rahul Maheshwari, Prashant Kesharwani, Antony D’Emanuele, Kiran Kalia, Bapi Gorain, Piyoosh Sharma, Abhay Singh Chauhan, Arun K. Iyer and Manoj Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pharmaceutical Research and Drug Discovery Today.

In The Last Decade

Muktika Tekade

16 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Muktika Tekade 232 181 170 103 81 19 509
Pramod Kumar 203 0.9× 270 1.5× 210 1.2× 59 0.6× 82 1.0× 21 515
Shunping Han 274 1.2× 206 1.1× 187 1.1× 54 0.5× 70 0.9× 21 545
Vanshikha Singh 162 0.7× 161 0.9× 122 0.7× 132 1.3× 70 0.9× 13 499
Yingwen Hu 206 0.9× 293 1.6× 228 1.3× 55 0.5× 43 0.5× 15 555
Asmaa M. Elbakry 311 1.3× 192 1.1× 155 0.9× 84 0.8× 24 0.3× 20 618
Chunhu Gu 188 0.8× 297 1.6× 161 0.9× 67 0.7× 42 0.5× 22 578
Zi-Xian Liao 278 1.2× 200 1.1× 156 0.9× 74 0.7× 52 0.6× 14 528
Guoqing Zhang 202 0.9× 228 1.3× 165 1.0× 65 0.6× 48 0.6× 22 556
Guanqing Yang 154 0.7× 255 1.4× 243 1.4× 43 0.4× 44 0.5× 17 494
Chengming Zhou 181 0.8× 198 1.1× 120 0.7× 75 0.7× 37 0.5× 21 497

Countries citing papers authored by Muktika Tekade

Since Specialization
Citations

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

Fields of papers citing papers by Muktika Tekade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muktika Tekade

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