Mayank Gangwar

166 total papers · 1.3k total citations
63 papers, 991 citations indexed

About

Mayank Gangwar is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Mayank Gangwar has authored 63 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 13 papers in Molecular Biology and 10 papers in Organic Chemistry. Recurrent topics in Mayank Gangwar's work include Synthesis and biological activity (10 papers), Essential Oils and Antimicrobial Activity (10 papers) and Ethnobotanical and Medicinal Plants Studies (8 papers). Mayank Gangwar is often cited by papers focused on Synthesis and biological activity (10 papers), Essential Oils and Antimicrobial Activity (10 papers) and Ethnobotanical and Medicinal Plants Studies (8 papers). Mayank Gangwar collaborates with scholars based in India, United States and United Kingdom. Mayank Gangwar's co-authors include Gopal Nath, Rajesh Kumar Goel, Manish Kumar Gautam, Yamini Bhusan Tripathi, Amit Kumar Sharma, Sambhu Charan Mondal, Mahendra Kumar Trivedi, Sushil Kumar Singh, Snehasis Jana and Meenakshi Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Surface Science and RSC Advances.

In The Last Decade

Mayank Gangwar

60 papers receiving 936 citations

Author Peers

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

Author Last Decade Papers Cites
Mayank Gangwar 227 225 197 176 90 63 991
Ádley Antonini Neves de Lima 241 1.1× 144 0.6× 158 0.8× 208 1.2× 79 0.9× 55 1.1k
Maya M. Zaharieva 454 2.0× 228 1.0× 172 0.9× 214 1.2× 127 1.4× 72 1.1k
Eleonora Marian 152 0.7× 129 0.6× 108 0.5× 172 1.0× 71 0.8× 60 868
Bishnu P. Marasini 329 1.4× 277 1.2× 180 0.9× 163 0.9× 69 0.8× 59 1.1k
Amal Alotaibi 200 0.9× 274 1.2× 85 0.4× 224 1.3× 108 1.2× 91 1.1k
S. L. Deore 167 0.7× 238 1.1× 117 0.6× 222 1.3× 85 0.9× 52 1.1k
Marı́a Luisa Garduño-Ramı́rez 417 1.8× 213 0.9× 123 0.6× 148 0.8× 108 1.2× 48 1.2k
Rajendran Vijayakumar 251 1.1× 277 1.2× 115 0.6× 382 2.2× 75 0.8× 54 1.2k
Husam Qanash 200 0.9× 184 0.8× 81 0.4× 171 1.0× 84 0.9× 56 863
Samar Zuhair Alshawwa 217 1.0× 144 0.6× 115 0.6× 141 0.8× 56 0.6× 54 926

Countries citing papers authored by Mayank Gangwar

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Gangwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Gangwar

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