Megha Sehgal

19 total papers · 833 total citations
10 papers, 490 citations indexed

About

Megha Sehgal is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Megha Sehgal has authored 10 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Megha Sehgal's work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Megha Sehgal is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Megha Sehgal collaborates with scholars based in United States, Brazil and South Korea. Megha Sehgal's co-authors include John Lisman, Katherine M. Cooper, Alcino J. Silva, James R. Moyer, Chenghui Song, Alcino J. Silva, Peyman Golshani, Daniel Aharoni, Michele A. Basso and Hugh T. Blair and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Megha Sehgal

10 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Megha Sehgal	310	230	102	86	41	10	490
Rosanna P. Sammons	282 0.9×	189 0.8×	126 1.2×	57 0.7×	14 0.3×	14	514
Alexandre Foncelle	265 0.9×	122 0.5×	126 1.2×	109 1.3×	21 0.5×	14	506
Yuqi Ren	289 0.9×	190 0.8×	135 1.3×	33 0.4×	40 1.0×	9	516
Mina Matsuo	413 1.3×	419 1.8×	79 0.8×	77 0.9×	14 0.3×	9	552
V. Rema	304 1.0×	228 1.0×	85 0.8×	67 0.8×	30 0.7×	20	525
Pedro Mateos‐Aparicio	271 0.9×	181 0.8×	138 1.4×	85 1.0×	17 0.4×	10	473
Ananya Chowdhury	294 0.9×	235 1.0×	122 1.2×	58 0.7×	9 0.2×	15	477
Yue Xi	237 0.8×	175 0.8×	119 1.2×	38 0.4×	24 0.6×	11	468
Dennis L. Glanzman	288 0.9×	292 1.3×	79 0.8×	25 0.3×	29 0.7×	25	533
Kevin J. Canning	416 1.3×	308 1.3×	117 1.1×	33 0.4×	11 0.3×	12	475

Countries citing papers authored by Megha Sehgal

Since Specialization

Citations

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

Fields of papers citing papers by Megha Sehgal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Sehgal

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