Anindita Basu

10.8k total citations · 2 hit papers
39 papers, 6.2k citations indexed

About

Anindita Basu is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anindita Basu has authored 39 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anindita Basu's work include Single-cell and spatial transcriptomics (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Blood properties and coagulation (3 papers). Anindita Basu is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Blood properties and coagulation (3 papers). Anindita Basu collaborates with scholars based in United States, Saudi Arabia and India. Anindita Basu's co-authors include David A. Weitz, Aviv Regev, Karthik Shekhar, Evan Z. Macosko, Joshua R. Sanes, Alex K. Shalek, Melissa Goldman, John J. Trombetta, Itay Tirosh and Steven A. McCarroll and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Anindita Basu

35 papers receiving 6.1k citations

Hit Papers

Highly Parallel Genome-wide Expression Profiling of Indiv... 2015 2026 2018 2022 2015 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anindita Basu United States 17 4.3k 1.1k 1.0k 906 542 39 6.2k
John J. Trombetta United States 10 5.7k 1.3× 1.3k 1.2× 1.4k 1.4× 759 0.8× 638 1.2× 12 7.5k
Melissa Goldman United States 11 5.6k 1.3× 998 0.9× 1.1k 1.1× 937 1.0× 524 1.0× 16 7.9k
Barbara Treutlein Germany 39 5.6k 1.3× 818 0.8× 461 0.4× 903 1.0× 564 1.0× 73 7.4k
Zev J. Gartner United States 38 4.5k 1.1× 526 0.5× 1.0k 1.0× 1.7k 1.8× 920 1.7× 92 7.5k
Fei Chen United States 34 5.6k 1.3× 920 0.9× 1.1k 1.1× 882 1.0× 539 1.0× 82 8.2k
Karthik Shekhar United States 25 6.9k 1.6× 1.2k 1.1× 1.5k 1.5× 768 0.8× 582 1.1× 52 9.5k
Åsa K. Björklund Sweden 30 5.5k 1.3× 1.2k 1.2× 2.0k 1.9× 281 0.3× 884 1.6× 42 8.1k
Paul Robson United States 45 8.1k 1.9× 1.3k 1.2× 1.1k 1.1× 589 0.7× 967 1.8× 89 10.3k
Kevin Wei United States 14 3.2k 0.7× 857 0.8× 2.0k 2.0× 294 0.3× 1.1k 2.0× 23 5.6k
Itay Tirosh Israel 34 8.0k 1.9× 2.2k 2.0× 1.8k 1.8× 841 0.9× 1.9k 3.5× 65 10.7k

Countries citing papers authored by Anindita Basu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Weigert, Melanie, Yan Li, Heather Eckart, et al.. (2025). A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause. Nature Communications. 16(1). 372–372. 4 indexed citations
2.
Zhao, Yu, Bingqing Xie, Cambrian Y. Liu, et al.. (2025). Multiomic analysis reveals cellular, transcriptomic and epigenetic changes in intestinal pouches of ulcerative colitis patients. Nature Communications. 16(1). 904–904. 1 indexed citations
3.
Mishra, Suryakant, et al.. (2023). Integration of silicon chip microstructures for in-line microbial cell lysis in soft microfluidics. Lab on a Chip. 23(9). 2327–2340. 5 indexed citations
4.
Fiebig, Aretha, Matthew K. Schnizlein, Florian Trigodet, et al.. (2023). Bile acid fitness determinants of a Bacteroides fragilis isolate from a human pouchitis patient. mBio. 15(1). e0283023–e0283023. 6 indexed citations
5.
Haltom, Amanda R., Janine Hensel, Jiha Kim, et al.. (2022). Engineered exosomes targeting MYC reverse the proneural-mesenchymal transition and extend survival of glioblastoma. SHILAP Revista de lepidopterología. 1. 100014–100014. 23 indexed citations
6.
Lengyel, Ernst, Yan Li, Melanie Weigert, et al.. (2022). A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing. Cell Reports. 41(12). 111838–111838. 29 indexed citations
7.
Nathan, Sandeep, et al.. (2022). Creating patient-specific vein models to characterize wall shear stress in hemodialysis population. Computational and Structural Biotechnology Journal. 20. 5729–5739. 1 indexed citations
8.
Olalekan, Susan, et al.. (2021). Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomics. Cell Reports. 35(8). 109165–109165. 101 indexed citations
9.
Eckart, Heather, Bingqing Xie, Reem Elorbany, et al.. (2020). Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation. Scientific Reports. 10(1). 66 indexed citations
10.
Kweon, Junghun, Heather Eckart, Andrew D. Hoffmann, et al.. (2020). Hedgehog–FGF signaling axis patterns anterior mesoderm during gastrulation. Proceedings of the National Academy of Sciences. 117(27). 15712–15723. 27 indexed citations
11.
Habib, Naomi, Inbal Avraham‐Davidi, Anindita Basu, et al.. (2017). Massively parallel single-nucleus RNA-seq with DroNc-seq. Nature Methods. 14(10). 955–958. 630 indexed citations breakdown →
13.
Macosko, Evan Z., Anindita Basu, Rahul Satija, et al.. (2015). Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. Cell. 161(5). 1202–1214. 4566 indexed citations breakdown →
14.
Chen, Jin, Shimin Le, Anindita Basu, Walter Chazin, & Jie Yan. (2015). Mechanochemical regulations of RPA's binding to ssDNA. Scientific Reports. 5(1). 9296–9296. 39 indexed citations
15.
Basu, Anindita, et al.. (2014). Growth and L δ-approximation of solutions of the Helmholtz equation in a finite disk. Journal of Applied Analysis. 20(2). 119–128.
16.
Basu, Anindita, et al.. (2014). Role of Rare Earth Oxide Nanoparticles (CeO2 and La2O3) in Suppressing the Photobleaching of Fluorescent Organic Dyes. Journal of Fluorescence. 24(3). 683–687. 10 indexed citations
17.
Basu, Anindita, Ye Xu, Tim Still, et al.. (2014). Rheology of soft colloids across the onset of rigidity: scaling behavior, thermal, and non-thermal responses. Soft Matter. 10(17). 3027–3027. 61 indexed citations
18.
Wen, Qi, Anindita Basu, Jessamine Winer‐Jones, Arjun G. Yodh, & Paul A. Janmey. (2008). Non-affine deformations in biological gels. Bulletin of the American Physical Society. 1 indexed citations
19.
Basu, Anindita, et al.. (2007). Statistical convergence on composite vector valued sequence space. 29. 75–90. 3 indexed citations
20.
Cavallo, David, Anindita Basu, John Maloney, et al.. (2004). RoBallet: exploring learning through expression in the arts through constructing in a technologically immersive environment. International Conference of Learning Sciences. 105–112. 8 indexed citations

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.

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