Sridhar Ramachandran
- Molecular Biology
- Cell Biology top 10%
- Genetics
- Media Technology top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Douglas G. HoweYvonne M. BradfordLeyla RuzickaSanjay E. SarmaSudarshan S. ChawatheMonte WesterfieldRyan MartinAnne Eagle
- Topics
- Biomedical Text Mining and Ontologies (10 papers)Bioinformatics and Genomic Networks (6 papers)Genetics, Bioinformatics, and Biomedical Research (6 papers)
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
Sridhar Ramachandran
22 papers receiving 633 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 310
- Cell Biology 150
- Genetics 89
- Media Technology 81
- Computer Networks and Communications 60
Countries citing papers authored by Sridhar Ramachandran
This map shows the geographic impact of Sridhar Ramachandran'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 Sridhar Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sridhar Ramachandran more than expected).
Fields of papers citing papers by Sridhar Ramachandran
This network shows the impact of papers produced by Sridhar Ramachandran. 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 Sridhar Ramachandran. The network helps show where Sridhar Ramachandran may publish in the future.
Co-authorship network of co-authors of Sridhar Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Sridhar Ramachandran. A scholar is included among the top collaborators of Sridhar Ramachandran 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 Sridhar Ramachandran. Sridhar Ramachandran 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 | 4 | |
| 3 | Zebrafish information network, the knowledgebase for Danio rerio researchbreakdown → | 114 |
| 4 | 0 | |
| 5 | 10 | |
| 6 | Online student feedback analysis system | 0 |
| 7 | 98 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 113 | |
| 11 | 62 | |
| 12 | 10 | |
| 13 | 53 | |
| 14 | 1 | |
| 15 | REALIZATION OF IP CORE FOR ROBOT CONTROLLED TRENCHING SYSTEM | 0 |
| 16 | 4 | |
| 17 | Managing RFID data | 129 |
| 18 | 1 | |
| 19 | 21 | |
| 20 | 3 |
About Sridhar Ramachandran
Sridhar Ramachandran is a scholar working on Molecular Biology, Modeling and Simulation and Health Information Management, having authored 29 papers that have together received 662 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (6 papers) and Genetics, Bioinformatics, and Biomedical Research (6 papers). The work is most often cited by research in Media Technology (81 citations), Cell Biology (150 citations) and Molecular Biology (310 citations). Sridhar Ramachandran has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Douglas G. Howe, Yvonne M. Bradford, Leyla Ruzicka, Sanjay E. Sarma, Sudarshan S. Chawathe, Monte Westerfield, Ryan Martin, Anne Eagle, Ceri E. Van Slyke and David Fashena. Their work appears in journals such as Nucleic Acids Research, Genetics and Genomics.
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.