Abhigyan Choudhury

835 citations
9 papers · 584 indexed · 1 hit paper · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)vaccines and immunoinformatics approaches (3 papers)COVID-19 Clinical Research Studies (3 papers)
Partner nations
IndiaCanadaMorocco

In The Last Decade

Abhigyan Choudhury

9 papers receiving 577 citations

Hit Papers

In silico studies on the comparative characterization of ...20202026202220242020100200300

Peers

Abhigyan Choudhury
Comparison fields: 5 of 81
  • Infectious Diseases 412
  • Molecular Biology 154
  • Immunology 133
  • Neurology 112
  • Epidemiology 89
Replace Lok-Yin Roy Wong with:
Lok-Yin Roy Wong United States
Cornelius Rohde Germany
Huiping Shuai Hong Kong
Rong Xiang China
André C. Ferreira Brazil
Barnali Nath India
Coralie Valle France
Jerritt Nunneley United States
Natalya Bukreyeva United States
Soonju Park South Korea
Abhigyan Choudhury relative to Lok-Yin Roy Wong United States Lok-Yin Roy Wong's profile →
Citations per field
00.5×1.5×
Lok-Yin Roy Wong · 1×
Citations per year

Countries citing papers authored by Abhigyan Choudhury

Since Specialization
Citations

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

Fields of papers citing papers by Abhigyan Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhigyan Choudhury

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2 6
3 6
4 36
5 23
6 78
7 5
8 54
9
In silico studies on the comparative characterization of the interactions of SARS‐CoV‐2 spike glycoprotein with ACE‐2 receptor homologs and human TLRsbreakdown →
371

About Abhigyan Choudhury

Abhigyan Choudhury is a scholar working on General Dentistry, Infectious Diseases and Immunology, having authored 9 papers that have together received 584 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), vaccines and immunoinformatics approaches (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (412 citations), Neurology (112 citations) and Immunology (133 citations). Abhigyan Choudhury has collaborated with scholars based in India, Canada and Morocco. Frequent co-authors include Suprabhat Mukherjee, Ritwik Patra, Nabarun Chandra Das, Pratik Ghosh, Bidhan Chandra Patra, Manojit Bhattacharya, Malay Kumar Rana, Parth Sarthi Sen Gupta, Saroj Kumar Panda and Probir Kumar Ojha. Their work appears in journals such as Journal of Hazardous Materials, Scientific Reports and Journal of Molecular Liquids.

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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