Ravat Panvichian
- Co-authors
- Surasak LeelaudomlipiNapat AngkathunyakulKenneth J. PientaKim OrthKathleen C. DayMark L. DayMary Jo PilatTouch Ativitavas
- Topics
- HER2/EGFR in Cancer Research (5 papers)Molecular Biology Techniques and Applications (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Cited by
- PharmacologyCancer ResearchOncology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBioMed Research International
- Partner nations
- ThailandUnited StatesBangladesh
In The Last Decade
Ravat Panvichian
18 papers receiving 350 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 192
- Oncology 130
- Pulmonary and Respiratory Medicine 88
- Cancer Research 79
- Pharmacology 59
Countries citing papers authored by Ravat Panvichian
This map shows the geographic impact of Ravat Panvichian'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 Ravat Panvichian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravat Panvichian more than expected).
Fields of papers citing papers by Ravat Panvichian
This network shows the impact of papers produced by Ravat Panvichian. 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 Ravat Panvichian. The network helps show where Ravat Panvichian may publish in the future.
Co-authorship network of co-authors of Ravat Panvichian
This figure shows the co-authorship network connecting the top 25 collaborators of Ravat Panvichian. A scholar is included among the top collaborators of Ravat Panvichian 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 Ravat Panvichian. Ravat Panvichian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 34 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 89 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 35 | |
| 11 | 4 | |
| 12 | Assessment of the Relationship Between RNA Integrity and Post-Chip QC Variables of Affymetrix GeneChip Human Genome U133 Plus 2.0 Array Experiments | 1 |
| 13 | Fluorescence in situ hybridization method in isolated single nuclei extracted from paraffin-embedded hepatocellular carcinoma tissues. | 4 |
| 14 | 22 | |
| 15 | 12 | |
| 16 | Paclitaxel-associated multimininucleation is permitted by the inhibition of caspase activation: a potential early step in drug resistance. | 63 |
| 17 | 2 | |
| 18 | The treatment of hormone refractory prostate cancer. | 5 |
About Ravat Panvichian
Ravat Panvichian is a scholar working on Oncology, Pharmacology and Hepatology, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Molecular Biology Techniques and Applications (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Pharmacology (59 citations), Cancer Research (79 citations) and Oncology (130 citations). Ravat Panvichian has collaborated with scholars based in Thailand, United States and Bangladesh. Frequent co-authors include Surasak Leelaudomlipi, Napat Angkathunyakul, Kenneth J. Pienta, Kim Orth, Kathleen C. Day, Mark L. Day, Mary Jo Pilat, Touch Ativitavas, T. Sirisinha and Ekaphop Sirachainan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and BioMed Research International.
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.