Parichart Permpikul
- Rheumatology top 10%
- Hematology top 10%
- Infectious Diseases
- Epidemiology
- Virology top 10%
- Co-authors
- SI RapaportLV RaoWilliam R. AugerKenneth Μ. MoserSurada LerdwanaEgarit NoulsriYong PoovorawanA. Mühlbacher
- Topics
- Blood groups and transfusion (7 papers)HIV Research and Treatment (5 papers)Erythrocyte Function and Pathophysiology (4 papers)
- Cited by
- VirologyInternal MedicineHematology
In The Last Decade
Parichart Permpikul
27 papers receiving 394 citations
Peers
Comparison fields: 5 of 57
- Rheumatology 123
- Hematology 120
- Infectious Diseases 83
- Epidemiology 79
- Virology 69
Countries citing papers authored by Parichart Permpikul
This map shows the geographic impact of Parichart Permpikul'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 Parichart Permpikul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parichart Permpikul more than expected).
Fields of papers citing papers by Parichart Permpikul
This network shows the impact of papers produced by Parichart Permpikul. 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 Parichart Permpikul. The network helps show where Parichart Permpikul may publish in the future.
Co-authorship network of co-authors of Parichart Permpikul
This figure shows the co-authorship network connecting the top 25 collaborators of Parichart Permpikul. A scholar is included among the top collaborators of Parichart Permpikul 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 Parichart Permpikul. Parichart Permpikul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | DENGUE VIREMIA AND DENGUE SEROPREVALENCE IN BLOOD DONORS, BANGKOK, THAILAND | 1 |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | Evaluation of Hemoglobin Screening Methods in Prospective Blood Donors by Using Hemoglobin Photometers | 1 |
| 11 | 9 | |
| 12 | 32 | |
| 13 | 20 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | HLA class II (DRB1, DQA1 and DQB1) allele and haplotype frequencies among HIV-infection discordant Thai couples. | 4 |
| 17 | 2 | |
| 18 | TT virus infection in Thailand: prevalence in blood donors and patients with aplastic anemia. | 7 |
| 19 | Serological infectious disease markers in blood donated at Siriraj Hospital. | 3 |
| 20 | 84 |
About Parichart Permpikul
Parichart Permpikul is a scholar working on Hematology, Virology and Management of Technology and Innovation, having authored 30 papers that have together received 406 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), HIV Research and Treatment (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Virology (69 citations), Internal Medicine (49 citations) and Hematology (120 citations). Parichart Permpikul has collaborated with scholars based in Thailand, Japan and Malaysia. Frequent co-authors include SI Rapaport, LV Rao, William R. Auger, Kenneth Μ. Moser, Surada Lerdwana, Egarit Noulsri, Yong Poovorawan, A. Mühlbacher, Tawesak Tanwandee and Teerha Piratvisuth. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.