Sushil K. Jha
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Experimental and Cognitive Psychology top 5%
- Biomedical Engineering
- Co-authors
- Tammi ColemanMarcos G. FrankBirendra Nath MallickAdrian R. MorrisonAaron C. PawlykFrancis X. BrennanRichard RossSara J. Aton
- Topics
- Sleep and Wakefulness Research (23 papers)Neuroscience and Neuropharmacology Research (14 papers)Memory and Neural Mechanisms (10 papers)
- Journals
- NeuronJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Sushil K. Jha
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 743
- Cellular and Molecular Neuroscience 417
- Endocrine and Autonomic Systems 287
- Experimental and Cognitive Psychology 235
- Biomedical Engineering 88
Countries citing papers authored by Sushil K. Jha
This map shows the geographic impact of Sushil K. Jha'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 Sushil K. Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil K. Jha more than expected).
Fields of papers citing papers by Sushil K. Jha
This network shows the impact of papers produced by Sushil K. Jha. 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 Sushil K. Jha. The network helps show where Sushil K. Jha may publish in the future.
Co-authorship network of co-authors of Sushil K. Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Sushil K. Jha. A scholar is included among the top collaborators of Sushil K. Jha 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 Sushil K. Jha. Sushil K. Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 62 | |
| 6 | 23 | |
| 7 | 27 | |
| 8 | 176 | |
| 9 | 40 | |
| 10 | 22 | |
| 11 | 21 | |
| 12 | 23 | |
| 13 | 26 | |
| 14 | 74 | |
| 15 | 36 | |
| 16 | 93 | |
| 17 | 5 | |
| 18 | 29 | |
| 19 | 20 | |
| 20 | 29 |
About Sushil K. Jha
Sushil K. Jha is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (23 papers), Neuroscience and Neuropharmacology Research (14 papers) and Memory and Neural Mechanisms (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (287 citations), Cognitive Neuroscience (743 citations) and Cellular and Molecular Neuroscience (417 citations). Sushil K. Jha has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Tammi Coleman, Marcos G. Frank, Birendra Nath Mallick, Adrian R. Morrison, Aaron C. Pawlyk, Francis X. Brennan, Richard Ross, Sara J. Aton, Julie Seibt and Nicholas A. Steinmetz. Their work appears in journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.