Amita Sehgal
- Endocrine and Autonomic Systems top 0.01%
- Circadian rhythm and melatonin 148
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 29
- Cellular and Molecular Neuroscience top 0.05%
- Neurobiology and Insect Physiology Research 86
- Photoreceptor and optogenetics research 16
- Cognitive Neuroscience top 0.5%
- Sleep and Wakefulness Research 41
- Plant Science top 0.5%
- Light effects on plants 41
- Plant Molecular Biology Research 21
-
- Insect and Arachnid Ecology and Behavior 14
- Co-authors
- Xiangzhong ZhengMichael W. YoungJulie A. WilliamsAmanda CrockerJoan C. HendricksWilliam J. JoinerKyunghee KohMoses V. Chao
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Amita Sehgal
181 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Endocrine and Autonomic Systems 9.3k
- Aging 2.1k
- Cellular and Molecular Neuroscience 7.7k
- Cognitive Neuroscience 2.8k
- Plant Science 3.5k
Countries citing papers authored by Amita Sehgal
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
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
The 25 scholars most cited alongside Amita Sehgal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 18 | |
| 5 | Senescent glia link mitochondrial dysfunction and lipid accumulationbreakdown → | 2024 | 56 |
| 6 | A neuron–glia lipid metabolic cycle couples daily sleep to mitochondrial homeostasisbreakdown → | 2024 | 57 |
| 7 | 2023 | 7 | |
| 8 | 2023 | 45 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 89 | |
| 14 | 2019 | 125 | |
| 15 | 2017 | 255 | |
| 16 | 2008 | 230 | |
| 17 | 2007 | 91 | |
| 18 | 2006 | 229 | |
| 19 | 2001 | 134 | |
| 20 | 1988 | 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), Light effects on plants (41 papers), Sleep and Wakefulness Research (41 papers), Genetics, Aging, and Longevity in Model Organisms (29 papers), Plant Molecular Biology Research (21 papers), Photoreceptor and optogenetics research (16 papers) and Insect and Arachnid Ecology and Behavior (14 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.