Karishma Bhatia
About
In The Last Decade
Karishma Bhatia
9 papers receiving 406 citations
Peers
Comparison fields: 5 of 54
- Oncology 228
- Molecular Biology 190
- Pathology and Forensic Medicine 134
- Immunology 54
- Cancer Research 42
Countries citing papers authored by Karishma Bhatia
This map shows the geographic impact of Karishma Bhatia'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 Karishma Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karishma Bhatia more than expected).
Fields of papers citing papers by Karishma Bhatia
This network shows the impact of papers produced by Karishma Bhatia. 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 Karishma Bhatia. The network helps show where Karishma Bhatia may publish in the future.
Co-authorship network of co-authors of Karishma Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Karishma Bhatia. A scholar is included among the top collaborators of Karishma Bhatia 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 Karishma Bhatia. Karishma Bhatia 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 | 1 | |
| 3 | 3 | |
| 4 | An in vitro model of adipose tissue-associated macrophages. | 2 |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 36 | |
| 8 | 218 | |
| 9 | 5 | |
| 10 | Epstein-Barr virus and Burkitt's lymphoma. | 94 |
| 11 | Infrequent p53 mutation in mouse tumors with deregulated myc. | 39 |
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.