Raphatphorn Navakanitworakul

766 total citations
25 papers, 562 citations indexed

About

Raphatphorn Navakanitworakul is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Raphatphorn Navakanitworakul has authored 25 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Raphatphorn Navakanitworakul's work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Raphatphorn Navakanitworakul is often cited by papers focused on Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Raphatphorn Navakanitworakul collaborates with scholars based in Thailand, United States and United Kingdom. Raphatphorn Navakanitworakul's co-authors include Lane K. Christenson, Gregory W. Burns, Thomas E. Spencer, Mark R. Wildung, Kelsey E. Brooks, John S. Davis, Wei‐Ting Hung, Wilaiwan Chotigeat, Sumedha Gunewardena and Kanyanatt Kanokwiroon and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Raphatphorn Navakanitworakul

23 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphatphorn Navakanitworakul Thailand 9 362 277 133 115 106 25 562
Yuanlin He China 13 360 1.0× 83 0.3× 101 0.8× 30 0.3× 185 1.7× 41 619
Zhihui Li China 11 147 0.4× 232 0.8× 58 0.4× 29 0.3× 22 0.2× 21 396
Zeev Zaslavsky Israel 9 209 0.6× 117 0.4× 93 0.7× 31 0.3× 111 1.0× 12 406
M. Bush United States 9 129 0.4× 116 0.4× 45 0.3× 21 0.2× 134 1.3× 19 409
Laura Fraccaroli Argentina 15 92 0.3× 306 1.1× 13 0.1× 158 1.4× 175 1.7× 22 546
Külli Samuel Estonia 9 127 0.4× 137 0.5× 31 0.2× 120 1.0× 21 0.2× 13 367
Tiantian Li China 11 127 0.4× 181 0.7× 26 0.2× 39 0.3× 39 0.4× 26 339
Liqin Ren China 12 119 0.3× 125 0.5× 38 0.3× 54 0.5× 19 0.2× 17 325
Nonda Katopodis United States 6 228 0.6× 66 0.2× 49 0.4× 19 0.2× 17 0.2× 10 376
Xiang Gan China 14 220 0.6× 49 0.2× 78 0.6× 5 0.0× 55 0.5× 35 434

Countries citing papers authored by Raphatphorn Navakanitworakul

Since Specialization
Citations

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

Fields of papers citing papers by Raphatphorn Navakanitworakul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphatphorn Navakanitworakul

This figure shows the co-authorship network connecting the top 25 collaborators of Raphatphorn Navakanitworakul. A scholar is included among the top collaborators of Raphatphorn Navakanitworakul 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 Raphatphorn Navakanitworakul. Raphatphorn Navakanitworakul 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.
Navakanitworakul, Raphatphorn, et al.. (2025). Comparative proteomic analysis of astrocytoma tissues from patients with and without seizures. Scientific Reports. 15(1). 3020–3020.
2.
Navakanitworakul, Raphatphorn, et al.. (2025). Exosomal miRNA expression profiling in patients with imatinib resistant Chronic myeloid leukemia: A pilot study. PLoS ONE. 20(8). e0331479–e0331479. 1 indexed citations
3.
Navakanitworakul, Raphatphorn, et al.. (2025). Bone Marrow Mesenchymal Stem Cell-Derived Exosomes Modulate Chemoradiotherapy Response in Cervical Cancer Spheroids. Pharmaceuticals. 18(7). 1050–1050.
4.
Phabphal, Kanitpong, et al.. (2025). Gene mutations linked to drug-resistant epilepsy in astrocytoma. Frontiers in Neurology. 16. 1523468–1523468. 1 indexed citations
5.
Chiangjong, Wararat, et al.. (2024). Proteomic Analysis Reveals Cadherin, Actin, and Focal Adhesion Molecule-Mediated Formation of Cervical Cancer Spheroids. Cells. 13(23). 2004–2004. 4 indexed citations
6.
7.
Roytrakul, Sittiruk, et al.. (2023). MALDI-TOF MS Analysis of Serum Peptidome Patterns in Cervical Cancer. Biomedicines. 11(8). 2327–2327. 4 indexed citations
8.
Roytrakul, Sittiruk, et al.. (2023). Proteomic analysis of small extracellular vesicles unique to cervical cancer. Translational Cancer Research. 12(11). 3113–3128. 6 indexed citations
9.
Sriplung, Hutcha, et al.. (2023). Proteomic profiling of urinary extracellular vesicles differentiates breast cancer patients from healthy women. PLoS ONE. 18(11). e0291574–e0291574. 8 indexed citations
10.
Surachat, Komwit, et al.. (2023). Exploration of Extracellular Vesicle Long Non-Coding RNAs in Serum of Patients with Cervical Cancer. Oncology. 102(1). 53–66. 2 indexed citations
11.
Sangkhathat, Surasak, et al.. (2022). Characterization of Butyrate‐Resistant Colorectal Cancer Cell Lines and the Cytotoxicity of Anticancer Drugs against These Cells. BioMed Research International. 2022(1). 6565300–6565300. 3 indexed citations
12.
Sangkhathat, Surasak, et al.. (2022). Cytotoxic effect of metformin on butyrate-resistant PMF-K014 colorectal cancer spheroid cells. Biomedicine & Pharmacotherapy. 151. 113214–113214. 7 indexed citations
13.
Navakanitworakul, Raphatphorn, et al.. (2022). Integrated bioinformatic analysis of potential biomarkers of poor prognosis in triple-negative breast cancer. Translational Cancer Research. 11(9). 3039–3049. 4 indexed citations
14.
Chaichulee, Sitthichok, et al.. (2021). Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning. Journal of Personalized Medicine. 11(9). 881–881. 15 indexed citations
15.
Pattanapanyasat, Kovit, et al.. (2021). The Concentration of Large Extracellular Vesicles Differentiates Early Septic Shock From Infection. Frontiers in Medicine. 8. 724371–724371. 6 indexed citations
16.
Hanprasertpong, Jitti, et al.. (2021). Molecular insights and clinical impacts of extracellular vesicles in cancer. Oncology Reviews. 2(15). 542–542. 2 indexed citations
17.
Navakanitworakul, Raphatphorn, et al.. (2020). Distinguishing Sepsis From Infection by Neutrophil Dysfunction: A Promising Role of CXCR2 Surface Level. Frontiers in Immunology. 11. 608696–608696. 20 indexed citations
18.
Lirdprapamongkol, Kriengsak, et al.. (2017). The role of WT1 isoforms in vasculogenic mimicry and metastatic potential of human triple negative breast cancer cells. Biochemical and Biophysical Research Communications. 494(1-2). 256–262. 14 indexed citations
19.
Navakanitworakul, Raphatphorn, Wei‐Ting Hung, Sumedha Gunewardena, et al.. (2016). Characterization and Small RNA Content of Extracellular Vesicles in Follicular Fluid of Developing Bovine Antral Follicles. Scientific Reports. 6(1). 25486–25486. 107 indexed citations
20.
Navakanitworakul, Raphatphorn, et al.. (2012). The roles of ribosomal protein S3a in ovarian development of Fenneropenaeus merguiensis (De Man). Aquaculture. 338-341. 208–215. 11 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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