Janarthanan Krishnamoorthy
- Molecular Biology
- Physiology top 5%
- Computational Theory and Mathematics top 5%
- Pharmacology top 10%
- Biomaterials top 10%
- Co-authors
- Ayyalusamy RamamoorthyJeffrey BrenderAnirban BhuniaSubramanian VivekanandanAnirban GhoshMichele F. M. SciaccaE. Neil G. MarshYuta Suzuki
- Topics
- Alzheimer's disease research and treatments (12 papers)Protein Structure and Dynamics (8 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesEthiopiaIndia
In The Last Decade
Janarthanan Krishnamoorthy
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 605
- Physiology 557
- Computational Theory and Mathematics 188
- Pharmacology 150
- Biomaterials 135
Countries citing papers authored by Janarthanan Krishnamoorthy
This map shows the geographic impact of Janarthanan Krishnamoorthy'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 Janarthanan Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janarthanan Krishnamoorthy more than expected).
Fields of papers citing papers by Janarthanan Krishnamoorthy
This network shows the impact of papers produced by Janarthanan Krishnamoorthy. 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 Janarthanan Krishnamoorthy. The network helps show where Janarthanan Krishnamoorthy may publish in the future.
Co-authorship network of co-authors of Janarthanan Krishnamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Janarthanan Krishnamoorthy. A scholar is included among the top collaborators of Janarthanan Krishnamoorthy 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 Janarthanan Krishnamoorthy. Janarthanan Krishnamoorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 62 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 97 | |
| 16 | 13 | |
| 17 | 87 | |
| 18 | 15 | |
| 19 | 66 | |
| 20 | 16 |
About Janarthanan Krishnamoorthy
Janarthanan Krishnamoorthy is a scholar working on Microbiology, Physiology and Computational Theory and Mathematics, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Protein Structure and Dynamics (8 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Physiology (557 citations), Microbiology (132 citations) and Computational Theory and Mathematics (188 citations). Janarthanan Krishnamoorthy has collaborated with scholars based in United States, Ethiopia and India. Frequent co-authors include Ayyalusamy Ramamoorthy, Jeffrey Brender, Anirban Bhunia, Subramanian Vivekanandan, Anirban Ghosh, Michele F. M. Sciacca, E. Neil G. Marsh, Yuta Suzuki, Carmelo La Rosa and Samuel A. Kotler. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.