Shubham Choudhury

447 citations
16 papers · 188 indexed · 1 hit paper · h-index 7
Topics
vaccines and immunoinformatics approaches (7 papers)Machine Learning in Bioinformatics (4 papers)Biochemical and Structural Characterization (4 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in MicrobiologyProtein Science
Partner nations
IndiaUnited States

In The Last Decade

Shubham Choudhury

15 papers receiving 187 citations

Hit Papers

ToxinPred 3.0: An improved method for predicting the toxi...2024202620252024255075

Peers

Shubham Choudhury
Comparison fields: 5 of 57
  • Molecular Biology 145
  • Microbiology 34
  • Ecology 29
  • Computational Theory and Mathematics 28
  • Immunology 28
Replace Himanshu Avashthi with:
Himanshu Avashthi India
William S. Sawyer United States
Maha AlKhazindar Egypt
Urmi Bajpai India
Muhammad Shahab China
Satyendra Singh India
Mokhtar Nosrati Iran
Patricia L. Taylor Canada
Vijayaraghava Seshadri Sundararajan India
Mais Ammari United States
Shubham Choudhury relative to Himanshu Avashthi India Himanshu Avashthi's profile →
Citations per field
00.5×
Himanshu Avashthi · 1×
Citations per year

Countries citing papers authored by Shubham Choudhury

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Choudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Choudhury. A scholar is included among the top collaborators of Shubham 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 Shubham Choudhury. Shubham Choudhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 9
2 0
3 3
4
ToxinPred 3.0: An improved method for predicting the toxicity of peptidesbreakdown →
78
5 2
6 1
7 4
8 2
9 16
10 14
11 5
12 19
13 4
14 8
15 21
16 2

About Shubham Choudhury

Shubham Choudhury is a scholar working on Microbiology, Molecular Biology and Computational Theory and Mathematics, having authored 16 papers that have together received 188 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Machine Learning in Bioinformatics (4 papers) and Biochemical and Structural Characterization (4 papers). The work is most often cited by research in Microbiology (34 citations), Molecular Biology (145 citations) and Computational Theory and Mathematics (28 citations). Shubham Choudhury has collaborated with scholars based in India and United States. Frequent co-authors include Gajendra P. S. Raghava, Akanksha Arora, Anjali Dhall, Sumeet Patiyal, Manoj Kumar, Anamika Thakur, Shipra Jain, Akanksha Rajput, Amit Gupta and Shoaib Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Protein Science.

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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