Srijan Chatterjee

858 total citations · 1 hit paper
27 papers, 483 citations indexed

About

Srijan Chatterjee is a scholar working on Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Srijan Chatterjee has authored 27 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Infectious Diseases and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Srijan Chatterjee's work include SARS-CoV-2 and COVID-19 Research (10 papers), vaccines and immunoinformatics approaches (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Srijan Chatterjee is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), vaccines and immunoinformatics approaches (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Srijan Chatterjee collaborates with scholars based in India, South Korea and Taiwan. Srijan Chatterjee's co-authors include Chiranjib Chakraborty, Manojit Bhattacharya, Kuldeep Dhama, Sang‐Soo Lee, Sagnik Nag, Ashish Ranjan Sharma, Soumen Pal, Govindasamy Agoramoorthy, Yeon‐Hee Lee and Garima Sharma and has published in prestigious journals such as Pharmacological Reviews, Applied Microbiology and Biotechnology and Nutrients.

In The Last Decade

Srijan Chatterjee

25 papers receiving 473 citations

Hit Papers

align trajectories

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. Viruses profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Srijan Chatterjee India	12	237	169	57	54	47	27	483
Gregory M. Goldgof United States	8	152 0.6×	113 0.7×	10 0.2×	26 0.5×	27 0.6×	10	353
Xiaoqian Deng China	5	345 1.5×	125 0.7×	8 0.1×	94 1.7×	17 0.4×	8	551
Caroline Weis Switzerland	6	107 0.5×	130 0.8×	14 0.2×	31 0.6×	7 0.1×	7	416
Sunil Kumar Singh India	9	35 0.1×	52 0.3×	25 0.4×	18 0.3×	8 0.2×	31	284
Zijiao Zou China	9	713 3.0×	183 1.1×	5 0.1×	146 2.7×	31 0.7×	11	945
Yongzhen Liu China	16	206 0.9×	147 0.9×	6 0.1×	24 0.4×	239 5.1×	54	657
Cheng Song China	12	306 1.3×	113 0.7×	5 0.1×	16 0.3×	63 1.3×	29	571
Hee Jin Kim United States	12	341 1.4×	105 0.6×	8 0.1×	142 2.6×	55 1.2×	26	634

Countries citing papers authored by Srijan Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Srijan Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srijan Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Srijan Chatterjee. A scholar is included among the top collaborators of Srijan Chatterjee 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 Srijan Chatterjee. Srijan Chatterjee 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

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

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

Chatterjee, Srijan, et al.. (2024). Autoantibodies in COVID‐19 and Other Viral Diseases: Molecular, Cellular, and Clinical Perspectives. Reviews in Medical Virology. 34(5). e2583–e2583. 2 indexed citations

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

Bhattacharya, Manojit, Soumen Pal, Srijan Chatterjee, et al.. (2024). ChatGPT’s scorecard after the performance in a series of tests conducted at the multi-country level: A pattern of responses of generative artificial intelligence or large language models. Current Research in Biotechnology. 7. 100194–100194. 5 indexed citations

Chakraborty, Chiranjib, et al.. (2024). The landscape of neoantigens and its clinical applications: From immunobiology to cancer vaccines. Current Research in Biotechnology. 7. 100177–100177. 15 indexed citations

Bhattacharya, Manojit, Soumen Pal, Srijan Chatterjee, Sang‐Soo Lee, & Chiranjib Chakraborty. (2024). Large language model to multimodal large language model: A journey to shape the biological macromolecules to biological sciences and medicine. Molecular Therapy — Nucleic Acids. 35(3). 102255–102255. 11 indexed citations

Chatterjee, Srijan, Manojit Bhattacharya, Sagnik Nag, Kuldeep Dhama, & Chiranjib Chakraborty. (2023). A Detailed Overview of SARS-CoV-2 Omicron: Its Sub-Variants, Mutations and Pathophysiology, Clinical Characteristics, Immunological Landscape, Immune Escape, and Therapies. Viruses. 15(1). 167–167. 165 indexed citations breakdown →

10.

Sharma, Ashish Ranjan, Yeon‐Hee Lee, Srijan Chatterjee, et al.. (2023). Bioactivity, Molecular Mechanism, and Targeted Delivery of Flavonoids for Bone Loss. Nutrients. 15(4). 919–919. 19 indexed citations

11.

Bhattacharya, Manojit, Srijan Chatterjee, Sang‐Soo Lee, Kuldeep Dhama, & Chiranjib Chakraborty. (2023). Antibody evasion associated with the RBD significant mutations in several emerging SARS-CoV-2 variants and its subvariants. Drug Resistance Updates. 71. 101008–101008. 7 indexed citations

12.

Chatterjee, Srijan, Manojit Bhattacharya, Soumen Pal, Sang‐Soo Lee, & Chiranjib Chakraborty. (2023). ChatGPT and large language models in orthopedics: from education and surgery to research. Journal of Experimental Orthopaedics. 10(1). 128–128. 46 indexed citations

13.

Chatterjee, Srijan, Manojit Bhattacharya, Sang‐Soo Lee, & Chiranjib Chakraborty. (2023). Can artificial intelligence-strengthened ChatGPT or other large language models transform nucleic acid research?. Molecular Therapy — Nucleic Acids. 33. 205–207. 16 indexed citations

14.

Sharma, Garima, Srijan Chatterjee, Chiranjib Chakraborty, & Jin‐Chul Kim. (2023). Advances in Nanozymes as a Paradigm for Viral Diagnostics and Therapy. Pharmacological Reviews. 75(4). 739–757. 13 indexed citations

15.

Chatterjee, Srijan, Manojit Bhattacharya, Sang‐Soo Lee, & Chiranjib Chakraborty. (2023). An insight of different classes of RNA-based therapeutic, nanodelivery and clinical status: Current landscape. Current Research in Biotechnology. 6. 100150–100150. 5 indexed citations

16.

Chatterjee, Srijan, et al.. (2023). Different cellular barriers to RNA therapeutics and strategies to overcome. International Journal of Surgery. Publish Ahead of Print. 1 indexed citations

17.

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

18.

Chakraborty, Chiranjib, Manojit Bhattacharya, Ashish Ranjan Sharma, et al.. (2022). Structural Landscape of nsp Coding Genomic Regions of SARS-CoV-2-ssRNA Genome: A Structural Genomics Approach Toward Identification of Druggable Genome, Ligand-Binding Pockets, and Structure-Based Druggability. Molecular Biotechnology. 66(4). 641–662. 7 indexed citations

19.

Chatterjee, Srijan, et al.. (2022). Relooking the monkeypox virus during this present outbreak: epidemiology to therapeutics and vaccines.. PubMed. 26(16). 5991–6003. 7 indexed citations

20.

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

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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