Poorva Mudgal
About
In The Last Decade
Poorva Mudgal
7 papers receiving 323 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 105
- Nephrology 93
- Immunology 65
- Oncology 60
- Psychiatry and Mental health 60
Countries citing papers authored by Poorva Mudgal
This map shows the geographic impact of Poorva Mudgal'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 Poorva Mudgal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poorva Mudgal more than expected).
Fields of papers citing papers by Poorva Mudgal
This network shows the impact of papers produced by Poorva Mudgal. 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 Poorva Mudgal. The network helps show where Poorva Mudgal may publish in the future.
Co-authorship network of co-authors of Poorva Mudgal
This figure shows the co-authorship network connecting the top 25 collaborators of Poorva Mudgal. A scholar is included among the top collaborators of Poorva Mudgal 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 Poorva Mudgal. Poorva Mudgal 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 | 10 | |
| 3 | Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression breakdown → | 165 |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 58 | |
| 7 | 24 | |
| 8 | 41 |
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.