Chada Phisalaphong
- Molecular Medicine top 0.5%
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 2%
- Co-authors
- Somlak ChuengsamarnRataya LuechapudipornSuthee RattanamongkolgulSiwanon JirawatnotaiNoppawan Phumala MoralesSomjai NakornchaiPoorichaya SomparnSupeenun Unchern
- Topics
- Curcumin's Biomedical Applications (8 papers)Hemoglobinopathies and Related Disorders (8 papers)Iron Metabolism and Disorders (7 papers)
- Partner nations
- ThailandUnited KingdomJapan
In The Last Decade
Chada Phisalaphong
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Medicine 728
- Molecular Biology 437
- Physiology 268
- Endocrinology, Diabetes and Metabolism 256
- Pharmacology 210
Countries citing papers authored by Chada Phisalaphong
This map shows the geographic impact of Chada Phisalaphong'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 Chada Phisalaphong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chada Phisalaphong more than expected).
Fields of papers citing papers by Chada Phisalaphong
This network shows the impact of papers produced by Chada Phisalaphong. 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 Chada Phisalaphong. The network helps show where Chada Phisalaphong may publish in the future.
Co-authorship network of co-authors of Chada Phisalaphong
This figure shows the co-authorship network connecting the top 25 collaborators of Chada Phisalaphong. A scholar is included among the top collaborators of Chada Phisalaphong 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 Chada Phisalaphong. Chada Phisalaphong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | Curcumin Extract for Prevention of Type 2 Diabetesbreakdown → | 490 |
| 5 | 9 | |
| 6 | Effects of Curcuminoids Extracts Capsule on Antioxidant Enzymes in Leber’s Hereditary Optic Neuropathy | 1 |
| 7 | 77 | |
| 8 | 147 | |
| 9 | 33 | |
| 10 | 24 | |
| 11 | 104 | |
| 12 | 120 | |
| 13 | 36 | |
| 14 | 291 | |
| 15 | Chronic toxicity study of curcuminoids in rats | 1 |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 86 |
About Chada Phisalaphong
Chada Phisalaphong is a scholar working on Molecular Medicine, Genetics and Hematology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (8 papers), Hemoglobinopathies and Related Disorders (8 papers) and Iron Metabolism and Disorders (7 papers). The work is most often cited by research in Molecular Medicine (728 citations), Biochemistry (200 citations) and Pharmacology (210 citations). Chada Phisalaphong has collaborated with scholars based in Thailand, United Kingdom and Japan. Frequent co-authors include Somlak Chuengsamarn, Rataya Luechapudiporn, Suthee Rattanamongkolgul, Siwanon Jirawatnotai, Noppawan Phumala Morales, Somjai Nakornchai, Poorichaya Somparn, Supeenun Unchern, Muenduen Phisalaphong and Somdet Srichairatanakool. Their work appears in journals such as Diabetes Care, Tetrahedron and Tetrahedron Letters.
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.