Sujira Mukda
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Neurology top 5%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jenq‐Lin YangPiyarat GovitrapongShang‐Der ChenChutikorn NopparatPrapimpun WongchitratParichart BoontemPatthara KongsupholAlfredo Villarroel
- Topics
- Circadian rhythm and melatonin (16 papers)Neuroinflammation and Neurodegeneration Mechanisms (8 papers)Tryptophan and brain disorders (8 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaInternational Journal of Molecular Sciences
- Partner nations
- ThailandTaiwanUnited States
In The Last Decade
Sujira Mukda
40 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 427
- Endocrine and Autonomic Systems 367
- Neurology 243
- Physiology 239
- Cellular and Molecular Neuroscience 197
Countries citing papers authored by Sujira Mukda
This map shows the geographic impact of Sujira Mukda'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 Sujira Mukda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujira Mukda more than expected).
Fields of papers citing papers by Sujira Mukda
This network shows the impact of papers produced by Sujira Mukda. 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 Sujira Mukda. The network helps show where Sujira Mukda may publish in the future.
Co-authorship network of co-authors of Sujira Mukda
This figure shows the co-authorship network connecting the top 25 collaborators of Sujira Mukda. A scholar is included among the top collaborators of Sujira Mukda 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 Sujira Mukda. Sujira Mukda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 34 | |
| 10 | 17 | |
| 11 | 18 | |
| 12 | 60 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 29 | |
| 19 | 11 | |
| 20 | 14 |
About Sujira Mukda
Sujira Mukda is a scholar working on Biological Psychiatry, Endocrine and Autonomic Systems and Aging, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Tryptophan and brain disorders (8 papers). The work is most often cited by research in Biological Psychiatry (162 citations), Endocrine and Autonomic Systems (367 citations) and Aging (67 citations). Sujira Mukda has collaborated with scholars based in Thailand, Taiwan and United States. Frequent co-authors include Jenq‐Lin Yang, Piyarat Govitrapong, Shang‐Der Chen, Chutikorn Nopparat, Prapimpun Wongchitrat, Parichart Boontem, Patthara Kongsuphol, Alfredo Villarroel, Morten Møller and Kannika Permpoonputtana. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.
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.