Sujatha Ramachandran
- Biomedical Engineering top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Infectious Diseases top 10%
- Cell Biology
- Co-authors
- Paul YagerElain FuBarry R. LutzTinny LiangJared HoughtalingPeter KauffmanPaolo Spicar-MihalicHenry Hess
- Topics
- Biosensors and Analytical Detection (7 papers)Advanced biosensing and bioanalysis techniques (6 papers)Advanced Biosensing Techniques and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersAnalytical Chemistry
- Partner nations
- United StatesNepalSwitzerland
In The Last Decade
Sujatha Ramachandran
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 886
- Molecular Biology 668
- Electrical and Electronic Engineering 208
- Infectious Diseases 141
- Cell Biology 82
Countries citing papers authored by Sujatha Ramachandran
This map shows the geographic impact of Sujatha 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 Sujatha Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujatha Ramachandran more than expected).
Fields of papers citing papers by Sujatha Ramachandran
This network shows the impact of papers produced by Sujatha 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 Sujatha Ramachandran. The network helps show where Sujatha Ramachandran may publish in the future.
Co-authorship network of co-authors of Sujatha Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Sujatha Ramachandran. A scholar is included among the top collaborators of Sujatha 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 Sujatha Ramachandran. Sujatha 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 | 75 | |
| 2 | 99 | |
| 3 | 222 | |
| 4 | 29 | |
| 5 | 60 | |
| 6 | 213 | |
| 7 | 189 | |
| 8 | 10 | |
| 9 | 34 | |
| 10 | 112 | |
| 11 | 13 | |
| 12 | 22 | |
| 13 | Static nozzle accretion study to understand nozzle clogging during continuous casting | 1 |
About Sujatha Ramachandran
Sujatha Ramachandran is a scholar working on Biomedical Engineering, Molecular Biology and Condensed Matter Physics, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (886 citations), Molecular Biology (668 citations) and Infectious Diseases (141 citations). Sujatha Ramachandran has collaborated with scholars based in United States, Nepal and Switzerland. Frequent co-authors include Paul Yager, Elain Fu, Barry R. Lutz, Tinny Liang, Jared Houghtaling, Peter Kauffman, Paolo Spicar-Mihalic, Henry Hess, Stephen A. Ramsey and Viola Vogel. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Analytical Chemistry.
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.