Mahesh Thakkar
- Cognitive Neuroscience top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 0.5%
- Co-authors
- Robert W. McCarleyRobert E. StreckerPradeep SahotaRadhika BasheerRobert GreeneTarja Porkka‐HeiskanenRishi SharmaAlvhild Alette Bjørkum
- Topics
- Sleep and Wakefulness Research (61 papers)Sleep and related disorders (30 papers)Neuroscience and Neuropharmacology Research (23 papers)
- Partner nations
- United StatesIndiaFinland
In The Last Decade
Mahesh Thakkar
87 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 3.2k
- Endocrine and Autonomic Systems 2.1k
- Experimental and Cognitive Psychology 1.9k
- Cellular and Molecular Neuroscience 1.4k
- Physiology 477
Countries citing papers authored by Mahesh Thakkar
This map shows the geographic impact of Mahesh Thakkar'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 Mahesh Thakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Thakkar more than expected).
Fields of papers citing papers by Mahesh Thakkar
This network shows the impact of papers produced by Mahesh Thakkar. 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 Mahesh Thakkar. The network helps show where Mahesh Thakkar may publish in the future.
Co-authorship network of co-authors of Mahesh Thakkar
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Thakkar. A scholar is included among the top collaborators of Mahesh Thakkar 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 Mahesh Thakkar. Mahesh Thakkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 175 | |
| 8 | 62 | |
| 9 | 46 | |
| 10 | 58 | |
| 11 | 42 | |
| 12 | 87 | |
| 13 | 164 | |
| 14 | 47 | |
| 15 | 419 | |
| 16 | 21 | |
| 17 | 244 | |
| 18 | 7 | |
| 19 | 46 | |
| 20 | 11 |
About Mahesh Thakkar
Mahesh Thakkar is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (61 papers), Sleep and related disorders (30 papers) and Neuroscience and Neuropharmacology Research (23 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.1k citations), Cognitive Neuroscience (3.2k citations) and Experimental and Cognitive Psychology (1.9k citations). Mahesh Thakkar has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Robert W. McCarley, Robert E. Strecker, Pradeep Sahota, Radhika Basheer, Robert Greene, Tarja Porkka‐Heiskanen, Rishi Sharma, Alvhild Alette Bjørkum, Stuart Winston and Donald G. Rainnie. Their work appears in journals such as Science, Journal of Neuroscience and Neurology.
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.