Chonlaphat Sukasem

5.0k total citations
182 papers, 2.9k citations indexed

About

Chonlaphat Sukasem is a scholar working on Pharmacology, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, Chonlaphat Sukasem has authored 182 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Pharmacology, 38 papers in Infectious Diseases and 28 papers in Pathology and Forensic Medicine. Recurrent topics in Chonlaphat Sukasem's work include Drug-Induced Adverse Reactions (52 papers), HIV/AIDS drug development and treatment (33 papers) and Autoimmune Bullous Skin Diseases (26 papers). Chonlaphat Sukasem is often cited by papers focused on Drug-Induced Adverse Reactions (52 papers), HIV/AIDS drug development and treatment (33 papers) and Autoimmune Bullous Skin Diseases (26 papers). Chonlaphat Sukasem collaborates with scholars based in Thailand, United Kingdom and United States. Chonlaphat Sukasem's co-authors include Apichaya Puangpetch, Wasun Chantratita, Napatrupron Koomdee, Thawinee Jantararoungtong, Yaowaluck Hongkaew, Monpat Chamnanphon, Natchaya Vanwong, Apichaya Puangpetch, Ticha Rerkpattanapipat and Patompong Satapornpong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Chonlaphat Sukasem

180 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chonlaphat Sukasem Thailand 29 1.1k 781 480 455 385 182 2.9k
Christopher Banfield United States 30 426 0.4× 425 0.5× 411 0.9× 196 0.4× 481 1.2× 88 2.8k
Cyril Mamotte Australia 26 676 0.6× 201 0.3× 208 0.4× 302 0.7× 504 1.3× 67 3.4k
Walid M. Awni United States 30 454 0.4× 531 0.7× 602 1.3× 416 0.9× 112 0.3× 139 3.0k
Alise Reicin United States 27 3.8k 3.5× 633 0.8× 125 0.3× 197 0.4× 654 1.7× 39 5.7k
Keith G. Tolman United States 31 242 0.2× 454 0.6× 371 0.8× 141 0.3× 335 0.9× 83 3.2k
Franck Broly France 34 370 0.3× 1.8k 2.3× 670 1.4× 233 0.5× 140 0.4× 107 4.2k
Ellen M. McDonagh United States 22 301 0.3× 837 1.1× 422 0.9× 170 0.4× 90 0.2× 35 2.9k
Kelly E. Caudle United States 32 786 0.7× 3.1k 3.9× 1.7k 3.6× 349 0.8× 90 0.2× 61 5.5k
Kazuko Nakagawa Japan 32 216 0.2× 620 0.8× 574 1.2× 132 0.3× 69 0.2× 117 2.8k
Martin Bergstrand Sweden 17 487 0.5× 235 0.3× 376 0.8× 315 0.7× 60 0.2× 38 2.5k

Countries citing papers authored by Chonlaphat Sukasem

Since Specialization
Citations

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

Fields of papers citing papers by Chonlaphat Sukasem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonlaphat Sukasem

This figure shows the co-authorship network connecting the top 25 collaborators of Chonlaphat Sukasem. A scholar is included among the top collaborators of Chonlaphat Sukasem 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 Chonlaphat Sukasem. Chonlaphat Sukasem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Biswas, Mohitosh, et al.. (2025). Pharmacogenomics of antibiotic-induced hypersensitivity reactions: current evidence and implications in clinical practice. Frontiers in Pharmacology. 16. 1651909–1651909. 1 indexed citations
2.
Jaruthamsophon, Kanoot, et al.. (2024). Molecular identification of HLA‐B75 serotype markers by qPCR: A more inclusive pharmacogenetic approach before carbamazepine prescription. Clinical and Translational Science. 17(6). e13867–e13867. 1 indexed citations
3.
Satapornpong, Patompong, Thawinee Jantararoungtong, Napatrupron Koomdee, et al.. (2024). Influence of pharmacogenomic polymorphisms on allopurinol-induced cutaneous adverse drug reactions in Thai patients. BMC Medical Genomics. 17(1). 101–101. 1 indexed citations
4.
Chongpison, Yuda, Sira Sriswasdi, Supranee Buranapraditkun, et al.. (2023). IFN-γ ELISpot-enabled machine learning for culprit drug identification in nonimmediate drug hypersensitivity. Journal of Allergy and Clinical Immunology. 153(1). 193–202. 6 indexed citations
5.
Vanwong, Natchaya, Pornpen Srisawasdi, Sadeep Medhasi, et al.. (2022). Association of Drug-Metabolizing Enzyme and Transporter Gene Polymorphisms and Lipid-Lowering Response to Statins in Thai Patients with Dyslipidemia. SHILAP Revista de lepidopterología. 4 indexed citations
6.
Zhao, Qing, Mubarak Almutairi, Arun Tailor, et al.. (2021). HLA Class-II‒Restricted CD8+ T Cells Contribute to the Promiscuous Immune Response in Dapsone-Hypersensitive Patients. Journal of Investigative Dermatology. 141(10). 2412–2425.e2. 16 indexed citations
7.
Bình, Trần Quang, et al.. (2021). A Novel Allele-Specific PCR Protocol for the Detection of the HLA-C*03:02 Allele, a Pharmacogenetic Marker, in Vietnamese Kinh People. The Application of Clinical Genetics. Volume 14. 27–35. 2 indexed citations
8.
Gaedigk, Andrea, Ekawat Pasomsub, Wasun Chantratita, et al.. (2020). Pharmacogene Variation in Thai Plasmodium vivax Relapse Patients Treated with a Combination of Primaquine and Chloroquine. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Sukasem, Chonlaphat, et al.. (2020). Genetic and clinical risk factors associated with phenytoin‐induced cutaneous adverse drug reactions in Thai population. Pharmacoepidemiology and Drug Safety. 29(5). 565–574. 23 indexed citations
10.
Tangwongchai, Sookjaroen, et al.. (2020). CYP2D6 Predicts Plasma Donepezil Concentrations in a Cohort of Thai Patients with Mild to Moderate Dementia. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Desta, Zeruesenay, Roseann S. Gammal, Li Gong, et al.. (2019). Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2B6 and Efavirenz‐Containing Antiretroviral Therapy. PMC. 19 indexed citations
12.
Puangpetch, Apichaya, et al.. (2019). <p>Association between polymorphisms of <em>LEP</em>,<em> LEPR</em>, <em>DRD2</em>, <em>HTR2A</em> and<em> HTR2C</em> genes and risperidone- or clozapine-induced hyperglycemia</p>. Pharmacogenomics and Personalized Medicine. Volume 12. 155–166. 8 indexed citations
13.
Sukasem, Chonlaphat, Θεοδώρα Κάτσιλα, Therdpong Tempark, George P. Patrinos, & Wasun Chantratita. (2018). Drug-Induced Stevens–Johnson Syndrome and Toxic Epidermal Necrolysis Call for Optimum Patient Stratification and Theranostics via Pharmacogenomics. Annual Review of Genomics and Human Genetics. 19(1). 329–353. 20 indexed citations
14.
Srinoulprasert, Yuttana, Pattarawat Thantiworasit, Pawinee Rerknimitr, et al.. (2018). The measurement of drug‐induced interferon γ‐releasing cells and lymphocyte proliferation in severe cutaneous adverse reactions. Journal of the European Academy of Dermatology and Venereology. 32(6). 992–998. 33 indexed citations
15.
Sukasem, Chonlaphat, Patompong Satapornpong, Kanoot Jaruthamsophon, et al.. (2018). Association between HLA-B Alleles and Carbamazepine-Induced Maculopapular Exanthema and Severe Cutaneous Reactions in Thai Patients. Journal of Immunology Research. 2018. 1–11. 56 indexed citations
17.
Pasomsub, Ekawat, et al.. (2017). SURVEILLANCE OF HIV-1 DRUG-RESISTANCE MUTATIONS IN THAILAND FROM 1999 TO 2014.. PubMed. 48(2). 271–81. 3 indexed citations
18.
Saksit, Niwat, Nontaya Nakkam, Parinya Konyoung, et al.. (2017). Comparison between theHLA-B58 : 01Allele and Single-Nucleotide Polymorphisms in Chromosome 6 for Prediction of Allopurinol-Induced Severe Cutaneous Adverse Reactions. Journal of Immunology Research. 2017. 1–9. 12 indexed citations
19.
Jantararoungtong, Thawinee, Maria N. Chitasombat, Apichaya Puangpetch, et al.. (2016). A prospective observational study of CYP2C19 polymorphisms and voriconazole plasma level in adult Thai patients with invasive aspergillosis. Drug Metabolism and Pharmacokinetics. 31(2). 117–122. 26 indexed citations
20.
Sukasem, Chonlaphat, Vina Churdboonchart, Suda Riengrojpitak, et al.. (2007). Genotypic Resistance Mutations in Treatment-Naïve and Treatment-Experienced Patients under Widespread Use of Antiretroviral Drugs in Thailand: Implications for Further Epidemiologic Surveillance. Japanese Journal of Infectious Diseases. 60(5). 284–289. 21 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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