Alaksh Choudhury

804 citations
22 papers · 587 indexed · h-index 15

Alaksh Choudhury

22 papers receiving 571 citations

Peers

Alaksh Choudhury
Comparison fields: 5 of 83
  • Molecular Medicine 110
  • Applied Microbiology and Biotechnology 25
  • Molecular Biology 407
  • Endocrinology 28
  • Pharmacology 86
Replace Eynat Dellus-Gur with:
Eynat Dellus-Gur Israel
Logan D. Andrews United States
Karin Mitosch Germany
Philippe Bénas France
Alice Verchère France
James J. A. Huntley United States
Jonathan Diver United Kingdom
Chenyu Liu China
David Novo United States
Anna Philips Poland
Alaksh Choudhury relative to Eynat Dellus-Gur Israel Eynat Dellus-Gur's profile →
Citations per field
00.5×4.3×
Eynat Dellus-Gur · 1×
Citations per year

Countries citing papers authored by Alaksh Choudhury

Since Specialization
Citations

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

Fields of papers citing papers by Alaksh Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alaksh 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 Alaksh Choudhury Line = papers co-authored together Alaksh Choudhury links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20236
3 202180
4 202029
5 202010
6 202023
7 202032
8 201944
9 201810
10 201834
11 201842
12 201832
13 201829
14 201618
15 201611
16 201615
17 201510
18 201551
19 201416
20 196550

About Alaksh Choudhury

Alaksh Choudhury is a scholar working on Molecular Medicine, Molecular Biology, Biotechnology, Genetics and Pharmacology, having authored 22 papers that have together received 587 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), RNA and protein synthesis mechanisms (7 papers), Evolution and Genetic Dynamics (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Biofuel production and bioconversion (3 papers), RNA regulation and disease (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Molecular Medicine (110 citations), Applied Microbiology and Biotechnology (25 citations), Molecular Biology (407 citations), Endocrinology (28 citations) and Pharmacology (86 citations). Alaksh Choudhury has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Ryan T. Gill, Andrew D. Garst, Liya Liang, Rongming Liu, Olivier Tenaillon, Claire Amaris Hobson, André Birgy, Hervé Jacquier, Stéphane Bonacorsi and Mélanie Magnan. Their work appears in journals such as Metabolic Engineering, Nature Communications, ACS Synthetic Biology, Molecular Systems Biology and The Journal of Physical Chemistry B.

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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