Megha Rajendran

34 total papers · 597 total citations
19 papers, 460 citations indexed

About

Megha Rajendran is a scholar working on Molecular Biology, Biophysics and Materials Chemistry. According to data from OpenAlex, Megha Rajendran has authored 19 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Biophysics and 4 papers in Materials Chemistry. Recurrent topics in Megha Rajendran's work include Mitochondrial Function and Pathology (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Lanthanide and Transition Metal Complexes (4 papers). Megha Rajendran is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Lanthanide and Transition Metal Complexes (4 papers). Megha Rajendran collaborates with scholars based in United States, India and Spain. Megha Rajendran's co-authors include Lawrence W. Miller, Mathew Tantama, Tatiana K. Rostovtseva, Eric L. Dane, Jason M. Conley, Sergey M. Bezrukov, William M. Rosencrans, Darren Magda, Srinivasan Chandrasekaran and Shabnam Mohandessi and has published in prestigious journals such as Analytical Chemistry, The FASEB Journal and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Megha Rajendran

17 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Megha Rajendran	239	160	63	50	47	19	460
James R. Bunting	252 1.1×	53 0.3×	63 1.0×	36 0.7×	29 0.6×	12	408
Yanqun Song	293 1.2×	113 0.7×	99 1.6×	84 1.7×	30 0.6×	20	517
Marta Dabros	190 0.8×	156 1.0×	82 1.3×	67 1.3×	59 1.3×	13	535
Shohei Uchinomiya	237 1.0×	90 0.6×	103 1.6×	149 3.0×	64 1.4×	23	420
Keiji Kajiwara	323 1.4×	55 0.3×	33 0.5×	44 0.9×	25 0.5×	19	473
Tomohiro Doura	186 0.8×	195 1.2×	171 2.7×	99 2.0×	42 0.9×	23	518
Sebastian Hauke	269 1.1×	69 0.4×	31 0.5×	112 2.2×	20 0.4×	15	431
Marina A. Orlova	126 0.5×	92 0.6×	39 0.6×	83 1.7×	42 0.9×	27	418
Palapuravan Anees	248 1.0×	208 1.3×	127 2.0×	53 1.1×	15 0.3×	18	545
Chan Cao	335 1.4×	63 0.4×	50 0.8×	26 0.5×	47 1.0×	11	466

Countries citing papers authored by Megha Rajendran

Since Specialization

Citations

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

Fields of papers citing papers by Megha Rajendran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Rajendran

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