Mano R. Maurya
- Molecular Biology top 10%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Statistics, Probability and Uncertainty top 1%
- Cancer Research top 10%
- Co-authors
- Venkat VenkatasubramanianRaghunathan RengaswamyShankar SubramaniamShakti GuptaZhen ChenNassim E. AjamiShu ChienEoin Fahy
- Topics
- Fault Detection and Control Systems (12 papers)Gene Regulatory Network Analysis (12 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Mano R. Maurya
53 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 811
- Control and Systems Engineering 637
- Mechanical Engineering 214
- Statistics, Probability and Uncertainty 213
- Cancer Research 211
Countries citing papers authored by Mano R. Maurya
This map shows the geographic impact of Mano R. Maurya'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 Mano R. Maurya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mano R. Maurya more than expected).
Fields of papers citing papers by Mano R. Maurya
This network shows the impact of papers produced by Mano R. Maurya. 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 Mano R. Maurya. The network helps show where Mano R. Maurya may publish in the future.
Co-authorship network of co-authors of Mano R. Maurya
This figure shows the co-authorship network connecting the top 25 collaborators of Mano R. Maurya. A scholar is included among the top collaborators of Mano R. Maurya 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 Mano R. Maurya. Mano R. Maurya 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 69 | |
| 6 | 30 | |
| 7 | 3 | |
| 8 | 71 | |
| 9 | 128 | |
| 10 | Abstract 15511: Kruppel-Like Factor 4 Regulation of Cholesterol-25-Hydroxylase and Liver X Receptor Mitigates Atherosclerosis Susceptibility | 1 |
| 11 | 23 | |
| 12 | 27 | |
| 13 | 26 | |
| 14 | 41 | |
| 15 | 53 | |
| 16 | 11 | |
| 17 | 39 | |
| 18 | 14 | |
| 19 | 34 | |
| 20 | 63 |
About Mano R. Maurya
Mano R. Maurya is a scholar working on Biochemistry, Statistics, Probability and Uncertainty and Biophysics, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Gene Regulatory Network Analysis (12 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (213 citations), Control and Systems Engineering (637 citations) and Cancer Research (211 citations). Mano R. Maurya has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Venkat Venkatasubramanian, Raghunathan Rengaswamy, Shankar Subramaniam, Shakti Gupta, Zhen Chen, Nassim E. Ajami, Shu Chien, Eoin Fahy, Ashok Reddy Dinasarapu and Manish Sud. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Circulation.
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.