Manojit Bhattacharya
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology top 10%
- Co-authors
- Chiranjib ChakrabortyAshish Ranjan SharmaSang‐Soo LeeGarima SharmaKuldeep DhamaBidhan Chandra PatraGovindasamy AgoramoorthySrijan Chatterjee
- Topics
- SARS-CoV-2 and COVID-19 Research (59 papers)vaccines and immunoinformatics approaches (38 papers)COVID-19 Clinical Research Studies (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsApplied Microbiology and Biotechnology
- Partner nations
- IndiaSouth KoreaTaiwan
In The Last Decade
Manojit Bhattacharya
169 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Infectious Diseases 2.0k
- Molecular Biology 2.0k
- Immunology 478
- Radiology, Nuclear Medicine and Imaging 373
- Epidemiology 334
Countries citing papers authored by Manojit Bhattacharya
This map shows the geographic impact of Manojit Bhattacharya'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 Manojit Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manojit Bhattacharya more than expected).
Fields of papers citing papers by Manojit Bhattacharya
This network shows the impact of papers produced by Manojit Bhattacharya. 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 Manojit Bhattacharya. The network helps show where Manojit Bhattacharya may publish in the future.
Co-authorship network of co-authors of Manojit Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Manojit Bhattacharya. A scholar is included among the top collaborators of Manojit Bhattacharya 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 Manojit Bhattacharya. Manojit Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | A Detailed Overview of SARS-CoV-2 Omicron: Its Sub-Variants, Mutations and Pathophysiology, Clinical Characteristics, Immunological Landscape, Immune Escape, and Therapiesbreakdown → | 165 |
| 12 | 14 | |
| 13 | 26 | |
| 14 | 14 | |
| 15 | 61 | |
| 16 | 42 | |
| 17 | 21 | |
| 18 | 39 | |
| 19 | 281 | |
| 20 | 4 |
About Manojit Bhattacharya
Manojit Bhattacharya is a scholar working on Health Informatics, Infectious Diseases and Modeling and Simulation, having authored 181 papers that have together received 4.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (59 papers), vaccines and immunoinformatics approaches (38 papers) and COVID-19 Clinical Research Studies (27 papers). The work is most often cited by research in Health Informatics (157 citations), Infectious Diseases (2.0k citations) and Modeling and Simulation (195 citations). Manojit Bhattacharya has collaborated with scholars based in India, South Korea and Taiwan. Frequent co-authors include Chiranjib Chakraborty, Ashish Ranjan Sharma, Sang‐Soo Lee, Garima Sharma, Kuldeep Dhama, Bidhan Chandra Patra, Govindasamy Agoramoorthy, Srijan Chatterjee, Soumen Pal and Pratik Ghosh. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Microbiology and Biotechnology.
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.