Megha Agrawal

48 total papers · 985 total citations
30 papers, 785 citations indexed

About

Megha Agrawal is a scholar working on Molecular Biology, Organic Chemistry and Geriatrics and Gerontology. According to data from OpenAlex, Megha Agrawal has authored 30 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Geriatrics and Gerontology. Recurrent topics in Megha Agrawal's work include Sirtuins and Resveratrol in Medicine (5 papers), Nonlinear Optical Materials Research (4 papers) and Computational Drug Discovery Methods (3 papers). Megha Agrawal is often cited by papers focused on Sirtuins and Resveratrol in Medicine (5 papers), Nonlinear Optical Materials Research (4 papers) and Computational Drug Discovery Methods (3 papers). Megha Agrawal collaborates with scholars based in India, United States and Iraq. Megha Agrawal's co-authors include Abhijit Biswas, Sylvain Doré, Nilendra Singh, Mahendra Kashyap, Vivek Kumar, Aditya B. Pant, Vinay K. Khanna, Abhishek Kumar Singh, Vinay Tripathi and Archana Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Megha Agrawal

27 papers receiving 772 citations

Author Peers

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

Author						Papers	Cites
Megha Agrawal	230	121	112	110	95	30	785
Prapimpun Wongchitrat	275 1.2×	79 0.7×	61 0.5×	208 1.9×	40 0.4×	40	901
Bodong Wang	339 1.5×	138 1.1×	177 1.6×	126 1.1×	64 0.7×	30	877
Zhao-Jun Wang	225 1.0×	109 0.9×	48 0.4×	158 1.4×	28 0.3×	31	864
Wilasinee Suwanjang	320 1.4×	72 0.6×	57 0.5×	126 1.1×	35 0.4×	31	784
Lihui Wang	306 1.3×	59 0.5×	48 0.4×	107 1.0×	55 0.6×	30	856
Qiao Ling Cui	520 2.3×	40 0.3×	94 0.8×	52 0.5×	41 0.4×	20	909
Wen Zhang	390 1.7×	43 0.4×	236 2.1×	82 0.7×	21 0.2×	27	893
Marie‐Claude Menet	152 0.7×	45 0.4×	60 0.5×	46 0.4×	61 0.6×	37	664
Alma Ortíz-Plata	294 1.3×	55 0.5×	110 1.0×	108 1.0×	23 0.2×	44	861
Congying Zhao	243 1.1×	37 0.3×	57 0.5×	57 0.5×	40 0.4×	51	655

Countries citing papers authored by Megha Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by Megha Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Agrawal

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