Sourav Choudhury

2.9k citations
21 papers · 1.8k indexed · 2 hit papers · h-index 8

Sourav Choudhury

17 papers receiving 1.8k citations

Hit Papers

Massively parallel single-nucleus RNA-seq with DroNc-seq6302016202620192022200400600

Peers

Sourav Choudhury
Comparison fields: 5 of 114
  • Business and International Management 85
  • Aging 58
  • Molecular Biology 1.5k
  • Neurology 140
  • Developmental Neuroscience 54
Replace Jonathan Y. Hsu with:
Jonathan Y. Hsu United States
Benedikt Wefers Germany
Yonatan Stelzer Israel
Geoff Stanley United States
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Takuro Horii Japan
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Sourav Choudhury relative to Jonathan Y. Hsu United States Jonathan Y. Hsu's profile →
Citations per field
00.5×3.8×
Jonathan Y. Hsu · 1×
Citations per year

Countries citing papers authored by Sourav Choudhury

Since Specialization
Citations

This map shows the geographic impact of Sourav Choudhury'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 Sourav Choudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourav Choudhury more than expected).

Fields of papers citing papers by Sourav Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sourav Choudhury. 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 Sourav Choudhury. The network helps show where Sourav Choudhury may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sourav Choudhury, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sourav Choudhury Line = papers co-authored together Sourav Choudhury links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20242
5 20240
6 20242
7 20240
8 20240
9 20231
10 20231
11 20212
12 201841
13 201872
14
Massively parallel single-nucleus RNA-seq with DroNc-seqbreakdown →
2017630
15 201715
16 20171
17 201697
18
Multiplex gene editing by CRISPR–Cpf1 using a single crRNA arraybreakdown →
2016699
19 2016135
20 201591

About Sourav Choudhury

Sourav Choudhury is a scholar working on Human-Computer Interaction, Information Systems and Management and Applied Psychology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Single-cell and spatial transcriptomics (3 papers), RNA Interference and Gene Delivery (3 papers), Technology-Enhanced Education Studies (2 papers), Viral Infections and Immunology Research (2 papers), Technology Adoption and User Behaviour (2 papers), CRISPR and Genetic Engineering (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Business and International Management (85 citations), Aging (58 citations) and Molecular Biology (1.5k citations). Sourav Choudhury has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Matthias Heidenreich, Feng Zhang, Wen Y. Wu, Omar O. Abudayyeh, Jonathan S. Gootenberg, Nerges Winblad, Prarthana Mohanraju, Bernd Zetsche, Konstantin Severinov and John van der Oost. Their work appears in journals such as Nature Biotechnology, Nature Methods and Molecular Therapy.

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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