Anindita Basu
- Molecular Biology top 1%
- Cancer Research top 2%
- Immunology top 2%
- Biomedical Engineering top 5%
- Oncology top 5%
- Co-authors
- David A. WeitzKarthik ShekharAviv RegevSteven A. McCarrollJoshua R. SanesJames NemeshRahul SatijaEvan Z. Macosko
- Topics
- Single-cell and spatial transcriptomics (13 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Blood properties and coagulation (3 papers)
- Partner nations
- United StatesIndiaSaudi Arabia
In The Last Decade
Anindita Basu
35 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 4.3k
- Cancer Research 1.1k
- Immunology 1.0k
- Biomedical Engineering 906
- Oncology 542
Countries citing papers authored by Anindita Basu
This map shows the geographic impact of Anindita Basu'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 Anindita Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindita Basu more than expected).
Fields of papers citing papers by Anindita Basu
This network shows the impact of papers produced by Anindita Basu. 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 Anindita Basu. The network helps show where Anindita Basu may publish in the future.
Co-authorship network of co-authors of Anindita Basu
This figure shows the co-authorship network connecting the top 25 collaborators of Anindita Basu. A scholar is included among the top collaborators of Anindita Basu 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 Anindita Basu. Anindita Basu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 101 | |
| 10 | 38 | |
| 11 | 27 | |
| 12 | 66 | |
| 13 | Massively parallel single-nucleus RNA-seq with DroNc-seqbreakdown → | 630 |
| 14 | Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Dropletsbreakdown → | 4566 |
| 15 | 39 | |
| 16 | 10 | |
| 17 | 160 | |
| 18 | Non-affine deformations in biological gels | 1 |
| 19 | Statistical convergence on composite vector valued sequence space | 3 |
| 20 | RoBallet: exploring learning through expression in the arts through constructing in a technologically immersive environment | 8 |
About Anindita Basu
Anindita Basu is a scholar working on Emergency Medical Services, Cancer Research and Applied Mathematics, having authored 39 papers that have together received 6.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Biophysics (478 citations), Cancer Research (1.1k citations) and Molecular Biology (4.3k citations). Anindita Basu has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include David A. Weitz, Karthik Shekhar, Aviv Regev, Steven A. McCarroll, Joshua R. Sanes, James Nemesh, Rahul Satija, Evan Z. Macosko, John J. Trombetta and Itay Tirosh. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.