Sang‐Soo Lee

10.1k total citations · 2 hit papers
263 papers, 7.0k citations indexed

About

Sang‐Soo Lee is a scholar working on Molecular Biology, Surgery and Infectious Diseases. According to data from OpenAlex, Sang‐Soo Lee has authored 263 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 66 papers in Surgery and 44 papers in Infectious Diseases. Recurrent topics in Sang‐Soo Lee's work include SARS-CoV-2 and COVID-19 Research (35 papers), vaccines and immunoinformatics approaches (21 papers) and Orthopaedic implants and arthroplasty (18 papers). Sang‐Soo Lee is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (35 papers), vaccines and immunoinformatics approaches (21 papers) and Orthopaedic implants and arthroplasty (18 papers). Sang‐Soo Lee collaborates with scholars based in South Korea, India and Taiwan. Sang‐Soo Lee's co-authors include Ashish Ranjan Sharma, Chiranjib Chakraborty, Garima Sharma, Manojit Bhattacharya, Ju‐Suk Nam, C. George Priya Doss, Supriya Jagga, Bidhan Chandra Patra, Govindasamy Agoramoorthy and Soumen Pal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Sang‐Soo Lee

239 papers receiving 6.8k 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.

Therapeutic miRNA and siRNA: Moving from Bench to Clinic as Next Generation Medicine

2017 586 citations Chiranjib Chakraborty, Ashish Ranjan Sharma et al. Molecular Therapy — Nucleic Acids profile →
Therapeutic advances of miRNAs: A preclinical and clinical update

2020 303 citations Chiranjib Chakraborty, Ashish Ranjan Sharma et al. Journal of Advanced Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang‐Soo Lee South Korea	46	2.8k	1.2k	981	912	548	263	7.0k
Ashish Ranjan Sharma South Korea	43	3.0k 1.1×	1.6k 1.3×	983 1.0×	362 0.4×	627 1.1×	141	6.8k
Song Chen China	43	2.7k 1.0×	594 0.5×	841 0.9×	1.2k 1.4×	638 1.2×	329	7.5k
Jie Li China	47	2.8k 1.0×	1.5k 1.2×	718 0.7×	1.2k 1.3×	397 0.7×	688	10.9k
Heng Li China	39	2.3k 0.8×	651 0.5×	869 0.9×	559 0.6×	667 1.2×	309	6.7k
Cheng‐Yu Chen Taiwan	49	1.9k 0.7×	965 0.8×	369 0.4×	1.4k 1.6×	637 1.2×	460	9.5k
Chiranjib Chakraborty India	48	4.1k 1.5×	2.3k 1.8×	1.3k 1.4×	319 0.3×	418 0.8×	275	8.3k
Xue Li China	43	1.8k 0.6×	1.4k 1.1×	414 0.4×	873 1.0×	338 0.6×	563	8.5k
Huimin Xia China	41	2.6k 0.9×	1.1k 0.8×	843 0.9×	1.1k 1.3×	790 1.4×	294	7.3k
Xiao Li China	46	3.8k 1.4×	939 0.8×	1.0k 1.1×	520 0.6×	1.1k 1.9×	593	9.4k
Francesco Cappello Italy	53	5.4k 1.9×	553 0.4×	1.0k 1.1×	958 1.1×	314 0.6×	339	9.6k

Countries citing papers authored by Sang‐Soo Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sang‐Soo Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Soo Lee. 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 Sang‐Soo Lee. The network helps show where Sang‐Soo Lee may publish in the future.

Co-authorship network of co-authors of Sang‐Soo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Soo Lee. A scholar is included among the top collaborators of Sang‐Soo Lee 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 Sang‐Soo Lee. Sang‐Soo Lee 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

Oh, Sooyeon, Sang‐Soo Lee, Joo‐Ho Lee, et al.. (2025). A disintegrin and metallopeptidase domain (ADAM) 12, ADAM 17 mRNA and ADAM10 protein hold potential as biomarkers for detection of early gastric cancer. Scientific Reports. 15(1). 763–763. 2 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.

Sharma, Garima, Yeon Hee Lee, Jin‐Chul Kim, Ashish Ranjan Sharma, & Sang‐Soo Lee. (2024). Bone Regeneration Enhanced by Quercetin-Capped Selenium Nanoparticles via miR206/Connexin43, WNT, and BMP signaling pathways. Aging and Disease. 3 indexed citations

Sharma, Ashish Ranjan, et al.. (2024). Screening the phytochemicals in Perilla leaves and phytosynthesis of bioactive silver nanoparticles for potential antioxidant and wound-healing application. Green Processing and Synthesis. 13(1). 6 indexed citations

Chakraborty, Chiranjib, et al.. (2024). The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges. Molecular Therapy — Nucleic Acids. 35(3). 102295–102295. 26 indexed citations

Chakraborty, Chiranjib, Manojit Bhattacharya, & Sang‐Soo Lee. (2024). Regulatory role of miRNAs in the human immune and inflammatory response during the infection of SARS‐CoV‐2 and other respiratory viruses: A comprehensive review. Reviews in Medical Virology. 34(2). e2526–e2526. 5 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

Lee, Sang‐Soo, et al.. (2023). Current Medical Technology Reimbursement System in Japan. Value in Health Regional Issues. 34. 118–124. 2 indexed citations

10.

Chakraborty, Chiranjib, Manojit Bhattacharya, Abinit Saha, et al.. (2023). Revealing the structural and molecular interaction landscape of the favipiravir-RTP and SARS-CoV-2 RdRp complex through integrative bioinformatics: Insights for developing potent drugs targeting SARS-CoV-2 and other viruses. Journal of Infection and Public Health. 16(7). 1048–1056. 6 indexed citations

11.

Chakraborty, Chiranjib, Manojit Bhattacharya, & Sang‐Soo Lee. (2023). Current Status of Microneedle Array Technology for Therapeutic Delivery: From Bench to Clinic. Molecular Biotechnology. 66(12). 3415–3437. 14 indexed citations

12.

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

13.

Chakraborty, Chiranjib, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, & Sang‐Soo Lee. (2021). Evolution, Mode of Transmission, and Mutational Landscape of Newly Emerging SARS-CoV-2 Variants. mBio. 12(4). e0114021–e0114021. 61 indexed citations

14.

Chakraborty, Chiranjib, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, & Sang‐Soo Lee. (2021). The current second wave and COVID-19 vaccination status in India. Brain Behavior and Immunity. 96. 1–4. 42 indexed citations

15.

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

16.

Bhattacharya, Manojit, Ashish Ranjan Sharma, Prasanta Patra, et al.. (2020). Development of epitope‐based peptide vaccine against novel coronavirus 2019 (SARS‐COV‐2): Immunoinformatics approach. Journal of Medical Virology. 92(6). 618–631. 281 indexed citations

17.

Chakraborty, Chiranjib, Ashish Ranjan Sharma, Garima Sharma, Manojit Bhattacharya, & Sang‐Soo Lee. (2020). Insight into Evolution and Conservation Patterns of B1-Subfamily Members of GPCR. International Journal of Peptide Research and Therapeutics. 26(4). 2505–2517. 4 indexed citations

18.

Kim, Do-Young, et al.. (2020). Prevalence of rotator cuff diseases in adults older than 40 years in or near Chuncheon city, Korea. SHILAP Revista de lepidopterología. 23(3). 125–130. 8 indexed citations

19.

Sharma, Ashish Ranjan, Jongmin Park, Donghyun Lee, et al.. (2013). Rspo 1 promotes osteoblast differentiation via Wnt signaling pathway.. PubMed. 50(1). 19–25. 24 indexed citations

20.

‍Kim, Do Young, et al.. (2011). Flexor Pollicis Longus Tendon Rupture as a Complication of a Closed Distal Radius Fracture - A Case Report -. Journal of the Korean Fracture Society. 24(2). 191–191. 1 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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