Sourav Choudhury

2.9k citations
21 papers · 1.8k indexed · 2 hit papers · h-index 8
Topics
Virus-based gene therapy research (3 papers)Single-cell and spatial transcriptomics (3 papers)RNA Interference and Gene Delivery (3 papers)

In The Last Decade

Sourav Choudhury

17 papers receiving 1.8k citations

Hit Papers

Multiplex gene editing by CRISPR–Cpf1 using a single crRN...201620262019202220162017200400600

Peers

Sourav Choudhury
Comparison fields: 5 of 114
  • Molecular Biology 1.5k
  • Genetics 353
  • Cancer Research 154
  • Neurology 140
  • Plant Science 135
Replace Jonathan Y. Hsu with:
Jonathan Y. Hsu United States
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Yonatan Stelzer Israel
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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 of co-authors of Sourav Choudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Choudhury. A scholar is included among the top collaborators of Sourav Choudhury 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 Sourav Choudhury. Sourav Choudhury 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
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 0
6 2
7 0
8 0
9 1
10 1
11 2
12 41
13 72
14
Massively parallel single-nucleus RNA-seq with DroNc-seqbreakdown →
630
15 15
16 1
17 97
18
Multiplex gene editing by CRISPR–Cpf1 using a single crRNA arraybreakdown →
699
19 135
20 91

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) and RNA Interference and Gene Delivery (3 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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