Manop Pithukpakorn

663 total citations
37 papers, 327 citations indexed

About

Manop Pithukpakorn is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Manop Pithukpakorn has authored 37 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 10 papers in Pathology and Forensic Medicine and 10 papers in Oncology. Recurrent topics in Manop Pithukpakorn's work include Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (7 papers). Manop Pithukpakorn is often cited by papers focused on Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (7 papers). Manop Pithukpakorn collaborates with scholars based in Thailand, United States and Japan. Manop Pithukpakorn's co-authors include Wanna Thongnoppakhun, Bhoom Suktitipat, Yupin Suputtamongkol, Suporn Foongladda, Nasikarn Angkasekwinai, Chanin Limwongse, Pakpoom Phoompoung, Anunchai Assawamakin, Surakameth Mahasirimongkol and Ananya Pongpaibul and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Infectious Diseases.

In The Last Decade

Manop Pithukpakorn

33 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manop Pithukpakorn Thailand 12 100 98 64 57 55 37 327
Longgui Ning China 8 86 0.9× 63 0.6× 54 0.8× 32 0.6× 45 0.8× 12 258
Tomoyoshi Inoue Japan 12 91 0.9× 83 0.8× 112 1.8× 99 1.7× 51 0.9× 31 465
Cristina Clissa Italy 15 341 3.4× 83 0.8× 77 1.2× 46 0.8× 54 1.0× 31 723
Yuichiro Yamamoto Japan 10 135 1.4× 58 0.6× 46 0.7× 73 1.3× 17 0.3× 29 356
Elizabeth Klein United States 9 81 0.8× 146 1.5× 45 0.7× 59 1.0× 27 0.5× 32 510
Jiangyang Zhao China 11 145 1.4× 72 0.7× 79 1.2× 42 0.7× 29 0.5× 28 392
Weier Dai China 11 235 2.4× 45 0.5× 87 1.4× 44 0.8× 36 0.7× 28 396
Yuhua Chen China 11 112 1.1× 47 0.5× 60 0.9× 35 0.6× 28 0.5× 26 293
Laron McPhaul United States 14 176 1.8× 81 0.8× 41 0.6× 49 0.9× 37 0.7× 23 435
Germán Rodrigo Alemán-Muench Mexico 8 246 2.5× 87 0.9× 176 2.8× 42 0.7× 23 0.4× 11 478

Countries citing papers authored by Manop Pithukpakorn

Since Specialization
Citations

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

Fields of papers citing papers by Manop Pithukpakorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manop Pithukpakorn

This figure shows the co-authorship network connecting the top 25 collaborators of Manop Pithukpakorn. A scholar is included among the top collaborators of Manop Pithukpakorn 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 Manop Pithukpakorn. Manop Pithukpakorn 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.
Ponvilawan, Ben, Phuwanat Sakornsakolpat, Ananya Pongpaibul, et al.. (2025). Comprehensive genomic analysis in sporadic early-onset colorectal adenocarcinoma patients. BMC Cancer. 25(1). 349–349. 1 indexed citations
2.
Thongnoppakhun, Wanna, et al.. (2025). Comprehensive germline and somatic profiling of high-risk Thai breast cancer via next-generation sequencing. Scientific Reports. 15(1). 11427–11427.
3.
Suktitipat, Bhoom, et al.. (2024). GLIMMERS: glioma molecular markers exploration using long-read sequencing. Bioinformatics Advances. 4(1). vbae058–vbae058.
4.
Thongnoppakhun, Wanna, et al.. (2024). Germline mutations of 4567 patients with hereditary breast-ovarian cancer spectrum in Thailand. npj Genomic Medicine. 9(1). 9–9. 3 indexed citations
5.
Chaiboonchoe, Amphun, Masayoshi Tanaka, Mina Okochi, et al.. (2024). Overexpression of TSPAN8 in consensus molecular subtype 3 colorectal cancer. Experimental and Molecular Pathology. 137. 104911–104911. 2 indexed citations
6.
Chaiboonchoe, Amphun, et al.. (2024). Assessment of long-term stored specimens in the Siriraj Hospital colorectal cancer biobank for RNA sequencing and profiling. Journal of Laboratory Medicine. 48(4). 173–181.
7.
Chaiboonchoe, Amphun, Bhoom Suktitipat, Somponnat Sampattavanich, et al.. (2023). The KRAS-Mutant Consensus Molecular Subtype 3 Reveals an Immunosuppressive Tumor Microenvironment in Colorectal Cancer. Cancers. 15(4). 1098–1098. 14 indexed citations
8.
9.
Angkasekwinai, Nasikarn, Yupin Suputtamongkol, Wiwit Tantibhedhyangkul, et al.. (2023). Efficacy of Bortezomib for Treating Anti-Interferon-Gamma Autoantibody-Associated Adult-Onset Immunodeficiency Syndrome. Clinical Infectious Diseases. 78(4). 1033–1042. 4 indexed citations
10.
Chaiboonchoe, Amphun, Chainarong Phalanusitthepha, Atthaphorn Trakarnsanga, et al.. (2023). Exploring extracellular matrix and prostaglandin pathway alterations across varying resection margin distances of right-sided colonic adenocarcinoma. BMC Cancer. 23(1). 1202–1202. 1 indexed citations
11.
12.
Suktitipat, Bhoom, et al.. (2021). Identification of novel mutation in RANKL by whole‐exome sequencing in a Thai family with osteopetrosis; a case report and review of RANKL osteopetrosis. Molecular Genetics & Genomic Medicine. 9(7). e1727–e1727. 6 indexed citations
13.
14.
Angkasekwinai, Nasikarn, Yupin Suputtamongkol, Pakpoom Phoompoung, et al.. (2019). Clinical outcome and laboratory markers for predicting disease activity in patients with disseminated opportunistic infections associated with anti-interferon-γ autoantibodies. PLoS ONE. 14(4). e0215581–e0215581. 25 indexed citations
15.
16.
Pithukpakorn, Manop, et al.. (2016). Revised Ghent Criteria is Comparable to Original Diagnostic Criteria for Marfan Syndrome with Increased Ability to Clinically Diagnose Related Disorders.. PubMed. 99(1). 34–9. 10 indexed citations
17.
Pithukpakorn, Manop, Nasikarn Angkasekwinai, Bhoom Suktitipat, et al.. (2015). HLA-DRB1 and HLA-DQB1 Are Associated with Adult-Onset Immunodeficiency with Acquired Anti-Interferon-Gamma Autoantibodies. PLoS ONE. 10(5). e0128481–e0128481. 42 indexed citations
18.
Tanboon, Jantima, et al.. (2014). A Novel<b> </b>Mutation of the <b><i>GNE</i></b> Gene in Distal Myopathy with Rimmed Vacuoles: A Case with Inflammation. Case Reports in Neurology. 6(1). 55–59. 7 indexed citations
19.
Pithukpakorn, Manop, Anunchai Assawamakin, Nalinee Premasathian, et al.. (2014). Mycophenolic acid AUC in Thai kidney transplant recipients receiving low dose mycophenolate and its association with UGT2B7 polymorphisms. Pharmacogenomics and Personalized Medicine. 7. 379–379. 12 indexed citations
20.
Pithukpakorn, Manop. (2005). Disorders of pyruvate metabolism and the tricarboxylic acid cycle. Molecular Genetics and Metabolism. 85(4). 243–246. 43 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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