Manojit Bhattacharya

7.2k total citations · 1 hit paper
181 papers, 4.4k citations indexed

About

Manojit Bhattacharya is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Manojit Bhattacharya has authored 181 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 73 papers in Infectious Diseases and 20 papers in Immunology. Recurrent topics in Manojit Bhattacharya's 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). Manojit Bhattacharya is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (59 papers), vaccines and immunoinformatics approaches (38 papers) and COVID-19 Clinical Research Studies (27 papers). Manojit Bhattacharya collaborates with scholars based in India, South Korea and Taiwan. Manojit Bhattacharya's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Manojit Bhattacharya

169 papers receiving 4.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Detailed Overview of SARS-CoV-2 Omicron: Its Sub-Variants, Mutations and Pathophysiology, Clinical Characteristics, Immunological Landscape, Immune Escape, and Therapies

2023 165 citations Srijan Chatterjee, Manojit Bhattacharya et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manojit Bhattacharya India	36	2.0k	2.0k	478	373	334	181	4.4k
Qianqian Li China	33	2.7k 1.4×	1.4k 0.7×	407 0.9×	243 0.7×	578 1.7×	164	4.6k
Chiranjib Chakraborty India	48	2.3k 1.1×	4.1k 2.1×	694 1.5×	417 1.1×	536 1.6×	275	8.3k
Aiping Wu China	24	1.9k 1.0×	1.3k 0.7×	515 1.1×	174 0.5×	721 2.2×	125	3.8k
Kin‐Hang Kok Hong Kong	32	3.6k 1.8×	1.5k 0.8×	1.3k 2.7×	206 0.6×	723 2.2×	67	5.8k
Jie Cui China	38	5.4k 2.7×	1.9k 1.0×	800 1.7×	425 1.1×	1.1k 3.2×	153	9.3k
Shailendra K. Saxena India	39	1.4k 0.7×	1.7k 0.9×	717 1.5×	267 0.7×	826 2.5×	253	5.4k
Tianlei Ying China	35	2.6k 1.3×	1.7k 0.8×	762 1.6×	955 2.6×	422 1.3×	140	4.9k
Shuofeng Yuan Hong Kong	33	4.4k 2.2×	1.4k 0.7×	709 1.5×	291 0.8×	982 2.9×	111	6.7k
Shuai Xia China	25	3.6k 1.8×	1.2k 0.6×	520 1.1×	393 1.1×	451 1.4×	61	4.6k
Yanfang Zhang China	23	2.7k 1.4×	1.2k 0.6×	348 0.7×	251 0.7×	457 1.4×	159	4.3k

Countries citing papers authored by Manojit Bhattacharya

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bhattacharya, Manojit, et al.. (2025). Deep learning in next-generation vaccine development for infectious diseases. Molecular Therapy — Nucleic Acids. 36(3). 102586–102586. 1 indexed citations

Chakraborty, Chiranjib, Manojit Bhattacharya, Soumen Pal, et al.. (2025). AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development. Journal of Advanced Research. 78. 377–389. 9 indexed citations

Bhattacharya, Manojit, et al.. (2025). Eugenol’s anti-cancer properties, its modulation of signalling pathways, and cascades across various cancers: A review. Current Research in Biotechnology. 10. 100330–100330.

Chakraborty, Chiranjib, Manojit Bhattacharya, Arpita Das, & Abinit Saha. (2025). Regulation of miRNA in Cytokine Storm (CS) of COVID‐19 and Other Viral Infection: An Exhaustive Review. Reviews in Medical Virology. 35(2). e70026–e70026. 3 indexed citations

Chakraborty, Chiranjib, Manojit Bhattacharya, Srijan Chatterjee, et al.. (2025). Comprehensive global-scale evaluation of the COVID-19 pandemic associated with 234 countries, territories, and sub-national locations during 2020–2024. Folia Microbiologica.

Bhattacharya, Manojit, et al.. (2024). Recent Advances of Nipah Virus Disease: Pathobiology to Treatment and Vaccine Advancement. The Journal of Microbiology. 62(10). 811–828. 2 indexed citations

Bhattacharya, Manojit, et al.. (2024). Current landscape of long COVID clinical trials. International Immunopharmacology. 132. 111930–111930. 6 indexed citations

Chakraborty, Chiranjib, Manojit Bhattacharya, Abdulrahman Alshammari, & Thamer H. Albekairi. (2024). Blueprint of differentially expressed genes reveals the dynamic gene expression landscape and the gender biases in long COVID. Journal of Infection and Public Health. 17(5). 748–766. 3 indexed citations

Chakraborty, Chiranjib, et al.. (2023). Artificial intelligence–enabled clinical trials might be a faster way to perform rapid clinical trials and counter future pandemics: lessons learned from the COVID-19 period. International Journal of Surgery. 109(5). 1535–1538. 4 indexed citations

10.

Chakraborty, Chiranjib & Manojit Bhattacharya. (2023). The current landscape of long COVID clinical trials: NIH’s RECOVER to Stanford Medicine’s STOP-PASC initiative. Molecular Therapy — Nucleic Acids. 33. 887–889. 8 indexed citations

11.

Bhattacharya, Manojit, et al.. (2023). Entropy-Driven, Integrative Bioinformatics Approaches Reveal the Recent Transmission of the Monkeypox Virus from Nigeria to Multiple Non-African Countries. Molecular Biotechnology. 66(10). 2816–2829. 1 indexed citations

12.

Chakraborty, Chiranjib, Manojit Bhattacharya, Soumen Pal, & Sang‐Soo Lee. (2023). From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology. 7. 100164–100164. 113 indexed citations

13.

Bhattacharya, Manojit, Abdulrahman Alshammari, Metab Alharbi, et al.. (2023). A novel mutation-proof, next-generation vaccine to fight against upcoming SARS-CoV-2 variants and subvariants, designed through AI enabled approaches and tools, along with the machine learning based immune simulation: A vaccine breakthrough. International Journal of Biological Macromolecules. 242(Pt 2). 124893–124893. 10 indexed citations

14.

Bhattacharya, Manojit, Srijan Chatterjee, Ashish Ranjan Sharma, Sang‐Soo Lee, & Chiranjib Chakraborty. (2022). Delta variant (B.1.617.2) of SARS-CoV-2: current understanding of infection, transmission, immune escape, and mutational landscape. Folia Microbiologica. 68(1). 17–28. 26 indexed citations

15.

Ghosh, Pratik, Manojit Bhattacharya, Prasanta Patra, et al.. (2021). Evaluation and Designing of Epitopic-Peptide Vaccine Against Bunyamwera orthobunyavirus Using M-Polyprotein Target Sequences. International Journal of Peptide Research and Therapeutics. 28(1). 5–5. 4 indexed citations

16.

Sharma, Ashish Ranjan, et al.. (2021). Recent research progress on circular RNAs: Biogenesis, properties, functions, and therapeutic potential. Molecular Therapy — Nucleic Acids. 25. 355–371. 39 indexed citations

17.

Chakraborty, Chiranjib, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, & Sang‐Soo Lee. (2021). Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis. Vaccines. 9(6). 600–600. 21 indexed citations

18.

Bhattacharya, Manojit, Srijan Chatterjee, Ashish Ranjan Sharma, Govindasamy Agoramoorthy, & Chiranjib Chakraborty. (2021). D614G mutation and SARS-CoV-2: impact on S-protein structure, function, infectivity, and immunity. Applied Microbiology and Biotechnology. 105(24). 9035–9045. 39 indexed citations

19.

Patra, Prasanta, Manojit Bhattacharya, Ashish Ranjan Sharma, et al.. (2020). Identification and Design of a Next-Generation Multi Epitopes Bases Peptide Vaccine Candidate Against Prostate Cancer: An In Silico Approach. Cell Biochemistry and Biophysics. 78(4). 495–509. 12 indexed citations

20.

Sharma, Garima, Ashish Ranjan Sharma, Sang‐Soo Lee, et al.. (2019). Advances in nanocarriers enabled brain targeted drug delivery across blood brain barrier. International Journal of Pharmaceutics. 559. 360–372. 146 indexed citations

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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