Swapna Mandal
About
In The Last Decade
Swapna Mandal
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Pulmonary and Respiratory Medicine 1.5k
- Neurology 746
- Infectious Diseases 614
- Clinical Psychology 427
- Physiology 427
Countries citing papers authored by Swapna Mandal
This map shows the geographic impact of Swapna Mandal'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 Swapna Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapna Mandal more than expected).
Fields of papers citing papers by Swapna Mandal
This network shows the impact of papers produced by Swapna Mandal. 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 Swapna Mandal. The network helps show where Swapna Mandal may publish in the future.
Co-authorship network of co-authors of Swapna Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Swapna Mandal. A scholar is included among the top collaborators of Swapna Mandal 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 Swapna Mandal. Swapna Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | Predictors of 30- and 90-Day COPD Exacerbation Readmission: A Prospective Cohort Study | 1 |
| 10 | 33 | |
| 11 | 22 | |
| 12 | 27 | |
| 13 | 5 | |
| 14 | ‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19 breakdown → | 575 |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 94 | |
| 19 | 14 | |
| 20 | 64 |
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.