Shubhroz Gill
- Physiology top 0.5%
- Endocrine and Autonomic Systems top 0.1%
- Experimental and Cognitive Psychology top 2%
- Aging top 0.5%
- Molecular Biology
- Co-authors
- Satchidananda PandaLuciano DiTacchioChristopher VollmersHiep D. LeMegumi HatoriAmandine ChaixMathias LeblancMatthew S. Joens
- Topics
- Circadian rhythm and melatonin (5 papers)Sleep and related disorders (3 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Shubhroz Gill
11 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Physiology 2.4k
- Endocrine and Autonomic Systems 2.2k
- Experimental and Cognitive Psychology 485
- Aging 459
- Molecular Biology 427
Countries citing papers authored by Shubhroz Gill
This map shows the geographic impact of Shubhroz Gill'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 Shubhroz Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubhroz Gill more than expected).
Fields of papers citing papers by Shubhroz Gill
This network shows the impact of papers produced by Shubhroz Gill. 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 Shubhroz Gill. The network helps show where Shubhroz Gill may publish in the future.
Co-authorship network of co-authors of Shubhroz Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhroz Gill. A scholar is included among the top collaborators of Shubhroz Gill 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 Shubhroz Gill. Shubhroz Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 226 | |
| 3 | 201 | |
| 4 | 212 | |
| 5 | A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefitsbreakdown → | 666 |
| 6 | 56 | |
| 7 | Time-Restricted Feeding without Reducing Caloric Intake Prevents Metabolic Diseases in Mice Fed a High-Fat Dietbreakdown → | 1477 |
| 8 | Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expressionbreakdown → | 583 |
| 9 | 30 | |
| 10 | 14 | |
| 11 | 4 |
About Shubhroz Gill
Shubhroz Gill is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Medicine, having authored 11 papers that have together received 3.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Sleep and related disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.2k citations), Aging (459 citations) and Physiology (2.4k citations). Shubhroz Gill has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Satchidananda Panda, Luciano DiTacchio, Christopher Vollmers, Hiep D. Le, Megumi Hatori, Amandine Chaix, Mathias Leblanc, Matthew S. Joens, James A. J. Fitzpatrick and Mark H. Ellisman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.