Manit Nuinoon
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Hematology top 10%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 8
- Hemoglobinopathies and Related Disorders 8
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- Iron Metabolism and Disorders 7
- Blood groups and transfusion 3
- Co-authors
- Suthat Fucharoen (5 shared papers)Saovaros Svasti (3 shared papers)Orapan Sripichai (2 shared papers)Pranee Winichagoon (2 shared papers)Michiaki Kubo (1 shared paper)Atsushi Takahashi (1 shared paper)Pustika Amalia Wahidiyat (1 shared paper)Taisei Mushiroda (1 shared paper)
- Journals
- Biomedical Reports (2 papers)PeerJ (2 papers)Gene (1 paper)Scientific Reports (1 paper)Translational research (1 paper)
- Partner nations
- ThailandBangladeshUnited States
In The Last Decade
Manit Nuinoon
22 papers receiving 300 citations
Peers
Comparison fields: 5 of 61
- Genetics 168
- Hematology 135
- Pediatrics, Perinatology and Child Health 71
- Genetics 45
- Pharmacology 14
Countries citing papers authored by Manit Nuinoon
This map shows the geographic impact of Manit Nuinoon'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 Manit Nuinoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manit Nuinoon more than expected).
Fields of papers citing papers by Manit Nuinoon
This network shows the impact of papers produced by Manit Nuinoon. 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 Manit Nuinoon. The network helps show where Manit Nuinoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Manit Nuinoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2013 | 25 | |
| 3 | 2014 | 22 | |
| 4 | 2018 | 19 | |
| 5 | 2022 | 11 | |
| 6 | 2015 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2017 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2014 | 6 | |
| 11 | 2006 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Manit Nuinoon
Manit Nuinoon is a scholar working on Genetics, Hematology, Surgery, Pediatrics, Perinatology and Child Health and Physiology, having authored 24 papers that have together received 301 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Neonatal Health and Biochemistry (3 papers), Blood groups and transfusion (3 papers), Alkaloids: synthesis and pharmacology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Traditional and Medicinal Uses of Annonaceae (2 papers). The work is most often cited by research in Genetics (168 citations), Hematology (135 citations), Pediatrics, Perinatology and Child Health (71 citations), Genetics (45 citations) and Pharmacology (14 citations). Manit Nuinoon has collaborated with scholars based in Thailand, Bangladesh and United States. Frequent co-authors include Suthat Fucharoen, Saovaros Svasti, Orapan Sripichai, Pranee Winichagoon, Michiaki Kubo, Atsushi Takahashi, Pustika Amalia Wahidiyat, Taisei Mushiroda, Wattanan Makarasara and Vip Viprakasit. Their work appears in journals such as Biomedical Reports, PeerJ, Gene, Scientific Reports and Translational research.
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.