Sonika Bhatnagar

52 papers receiving 499 citations

Peers

Sonika Bhatnagar
Comparison fields: 5 of 101
  • Molecular Medicine 38
  • Endocrinology 22
  • Molecular Biology 286
  • Genetics 110
  • Ecology 86
Replace Ningyu Zhu with:
Ningyu Zhu China
Geetha B. Kumar India
Xiaomei He China
Mónica Rosas‐Lemus United States
Hemant Kumar India
Yao Bai China
Lucía Herrera-Domínguez Germany
Anjana Roy India
Thomas Hudson United States
Muralidharan Vanuopadath India
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Citations per field
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Citations per year

Countries citing papers authored by Sonika Bhatnagar

Since Specialization
Citations

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

Fields of papers citing papers by Sonika Bhatnagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200958
2 201753
3 201127
4 201426
5 201922
6 201921
7 200520
8 201618
9 201617
10 202116
11 201314
12 201414
13 201413
14 201312
15 201512
16 199511
17 202510
18 20029
19 20109
20 20249

About Sonika Bhatnagar

Sonika Bhatnagar is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Infectious Diseases and Immunology and Allergy, having authored 55 papers that have together received 512 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers), Bacillus and Francisella bacterial research (7 papers), Bacteriophages and microbial interactions (5 papers), Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Molecular Medicine (38 citations), Endocrinology (22 citations), Molecular Biology (286 citations), Genetics (110 citations) and Ecology (86 citations). Sonika Bhatnagar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rakesh Kumar Bhatnagar, Shivangi Agarwal, N. L. Singh, Neeraj Kumar Mishra, Ashok Kumar Dubey, Alisha Dhiman, Ravi Ramesh Pathak, Shubham Singh, Shashwat Deepali Nagar and Hemant Joshi. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, OMICS A Journal of Integrative Biology, Assay and Drug Development Technologies, Biochemical and Biophysical Research Communications and Journal of Molecular Graphics and Modelling.

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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