Amita Sehgal

21.9k citations
188 papers · 15.8k indexed · 5 hit papers · h-index 71
Topics
Circadian rhythm and melatonin (148 papers)Neurobiology and Insect Physiology Research (86 papers)Light effects on plants (41 papers)

In The Last Decade

Amita Sehgal

181 papers receiving 15.6k citations

Hit Papers

Expression and structure of the human NGF receptor198620261999201219862000199420242024250500750

Peers

Amita Sehgal
Comparison fields: 5 of 163
  • Endocrine and Autonomic Systems 9.3k
  • Cellular and Molecular Neuroscience 7.7k
  • Plant Science 3.5k
  • Molecular Biology 3.1k
  • Cognitive Neuroscience 2.8k
Replace Urs Albrecht with:
Urs Albrecht Switzerland
Michael H. Hastings United Kingdom
Elizabeth S. Maywood United Kingdom
Charles J. Weitz United States
Steven M. Reppert United States
David C. Klein United States
Ying‐Hui Fu United States
Martha Hotz Vitaterna United States
Gijsbertus T. J. van der Horst Netherlands
Michael Menaker United States
Amita Sehgal relative to Urs Albrecht Switzerland Urs Albrecht's profile →
Citations per field
00.5×1.5×2.3×
Urs Albrecht · 1×
Citations per year

Countries citing papers authored by Amita Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Amita Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Amita Sehgal. A scholar is included among the top collaborators of Amita 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 Amita Sehgal. Amita Sehgal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 18
5
Senescent glia link mitochondrial dysfunction and lipid accumulationbreakdown →
56
6
A neuron–glia lipid metabolic cycle couples daily sleep to mitochondrial homeostasisbreakdown →
57
7 7
8 45
9 2
10 8
11 29
12 38
13 89
14 125
15 255
16 230
17 91
18 229
19 134
20 74

About Amita Sehgal

Amita Sehgal is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 188 papers that have together received 15.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (148 papers), Neurobiology and Insect Physiology Research (86 papers) and Light effects on plants (41 papers). The work is most often cited by research in Endocrine and Autonomic Systems (9.3k citations), Aging (2.1k citations) and Cellular and Molecular Neuroscience (7.7k citations). Amita Sehgal has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Xiangzhong Zheng, Michael W. Young, Julie A. Williams, Amanda Crocker, Joan C. Hendricks, William J. Joiner, Kyunghee Koh, Moses V. Chao, Jeffrey L. Price and Zhaohai Yang. Their work appears in journals such as Nature, Science and Cell.

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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