Devapriya Choudhury

2.1k citations
37 papers · 1.7k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Devapriya Choudhury

36 papers receiving 1.7k citations

Hit Papers

X-ray Structure of the FimC-FimH Chaperone-Adhesin Complex from Uropathogenic Escherichia coli 1999 · 504 citations
5041999202620082017100200300400500

Peers

Devapriya Choudhury
Comparison fields: 5 of 100
  • Endocrinology 515
  • Molecular Medicine 159
  • Molecular Biology 971
  • Microbiology 70
  • Genetics 314
Replace Nobuo Kido with:
Nobuo Kido Japan
Suat L. G. Cirillo United States
Juan A. Fuentes Chile
Yu Luo Canada
Stéphanie Blangy France
Anton V. Zavialov Finland
Anthony W. Smith United Kingdom
Nicholas P. West Australia
Matthew B. Neiditch United States
Xiuju Jiang United States
Devapriya Choudhury relative to Nobuo Kido Japan Nobuo Kido's profile →
Citations per field
00.5×3.3×
Nobuo Kido · 1×
Citations per year

Countries citing papers authored by Devapriya Choudhury

Since Specialization
Citations

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

Fields of papers citing papers by Devapriya Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20198
3 20184
4 20189
5 20154
6 201534
7 20154
8 201530
9 201420
10 20131
11 200878
12 20078
13 20072
14 2006120
15 200572
16 2004368
17 20044
18 200314
19 200314
20 200229

About Devapriya Choudhury

Devapriya Choudhury is a scholar working on Endocrinology, Molecular Medicine, Genetics, Molecular Biology and Biotechnology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Escherichia coli research studies (6 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Plant nutrient uptake and metabolism (4 papers), Vibrio bacteria research studies (3 papers), Enzyme Structure and Function (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (515 citations), Molecular Medicine (159 citations), Molecular Biology (971 citations), Microbiology (70 citations) and Genetics (314 citations). Devapriya Choudhury has collaborated with scholars based in India, Sweden and United States. Frequent co-authors include Stefan D. Knight, Scott J. Hultgren, Jerome S. Pinkner, Solomon Langermann, V. Stojanoff, Andrew W. Thompson, Rajendra Prasad, Julie Bouckaert, Stefan Oscarson and Henri De Greve. Their work appears in journals such as Biochemistry, Molecular Microbiology, Journal of Computer-Aided Molecular Design, Biochemical and Biophysical Research Communications and Molecular Genetics and Genomics.

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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