Megha Sahu

40 total papers · 737 total citations
22 papers, 536 citations indexed

About

Megha Sahu is a scholar working on Organic Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Megha Sahu has authored 22 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 5 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Megha Sahu's work include Graphene research and applications (4 papers), Quinazolinone synthesis and applications (3 papers) and Fiber-reinforced polymer composites (3 papers). Megha Sahu is often cited by papers focused on Graphene research and applications (4 papers), Quinazolinone synthesis and applications (3 papers) and Fiber-reinforced polymer composites (3 papers). Megha Sahu collaborates with scholars based in India, South Africa and Romania. Megha Sahu's co-authors include Ashok M. Raichur, Arun Kumar Sharma, Gunjan Sharma, Ashish Kumar, Om Prakash, Shantanu Bhattacharya, Satyendra Kumar Rajput, Poonam Sundriyal, Ashok Kumar Datusalia and Om Prakash and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Life Sciences.

In The Last Decade

Megha Sahu

22 papers receiving 525 citations

Author Peers

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

Author Last Decade Papers Cites
Megha Sahu 168 125 106 103 73 22 536
Mohsen Adabi 185 1.1× 82 0.7× 217 2.0× 95 0.9× 127 1.7× 24 601
Bo Yang 218 1.3× 82 0.7× 129 1.2× 78 0.8× 27 0.4× 35 563
G.S. Avadhani 271 1.6× 29 0.2× 154 1.5× 165 1.6× 37 0.5× 27 581
Dongze Wang 167 1.0× 74 0.6× 156 1.5× 100 1.0× 23 0.3× 31 580
Xiaonan Zhou 192 1.1× 35 0.3× 82 0.8× 87 0.8× 70 1.0× 34 562
Xu Yang 110 0.7× 128 1.0× 113 1.1× 56 0.5× 30 0.4× 26 617
Sanghyun Lee 113 0.7× 72 0.6× 120 1.1× 88 0.9× 133 1.8× 20 538
Yang–Il Huh 101 0.6× 266 2.1× 140 1.3× 81 0.8× 17 0.2× 19 506
Seyed Heydar Mahmoudi Najafi 92 0.5× 132 1.1× 73 0.7× 100 1.0× 15 0.2× 14 558
V. Rodrı́guez 131 0.8× 147 1.2× 97 0.9× 30 0.3× 66 0.9× 34 567

Countries citing papers authored by Megha Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Megha Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Sahu

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