Sujatha Jayaraman
About
In The Last Decade
Sujatha Jayaraman
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 614
- Pulmonary and Respiratory Medicine 611
- Physiology 186
- Spectroscopy 129
- Pathology and Forensic Medicine 125
Countries citing papers authored by Sujatha Jayaraman
This map shows the geographic impact of Sujatha Jayaraman'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 Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujatha Jayaraman more than expected).
Fields of papers citing papers by Sujatha Jayaraman
This network shows the impact of papers produced by Sujatha Jayaraman. 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 Jayaraman. The network helps show where Sujatha Jayaraman may publish in the future.
Co-authorship network of co-authors of Sujatha Jayaraman
This figure shows the co-authorship network connecting the top 25 collaborators of Sujatha Jayaraman. A scholar is included among the top collaborators of Sujatha Jayaraman 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 Jayaraman. Sujatha Jayaraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 27 | |
| 3 | 99 | |
| 4 | 34 | |
| 5 | 37 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 170 | |
| 11 | 92 | |
| 12 | 60 | |
| 13 | 156 | |
| 14 | 59 | |
| 15 | HCO3- transport in relation to mucus secretion from submucosal glands. | 29 |
| 16 | 174 | |
| 17 | 237 | |
| 18 | 75 | |
| 19 | 46 | |
| 20 | 53 |
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.