Nithi Mahanonda
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Infectious Diseases
- Physiology
- Biological Psychiatry top 10%
- Co-authors
- Michael BerkMichaël MaesCharuwan KangkagateKiertijai BhuripanyoS ChaithiraphanKoonlawee NademaneeWattana LeowattanaKamonwan Soonklang
- Topics
- SARS-CoV-2 and COVID-19 Research (14 papers)COVID-19 Clinical Research Studies (10 papers)Vaccine Coverage and Hesitancy (7 papers)
In The Last Decade
Nithi Mahanonda
54 papers receiving 508 citations
Peers
Comparison fields: 5 of 103
- Cardiology and Cardiovascular Medicine 197
- Surgery 170
- Infectious Diseases 79
- Physiology 64
- Biological Psychiatry 63
Countries citing papers authored by Nithi Mahanonda
This map shows the geographic impact of Nithi Mahanonda'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 Nithi Mahanonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nithi Mahanonda more than expected).
Fields of papers citing papers by Nithi Mahanonda
This network shows the impact of papers produced by Nithi Mahanonda. 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 Nithi Mahanonda. The network helps show where Nithi Mahanonda may publish in the future.
Co-authorship network of co-authors of Nithi Mahanonda
This figure shows the co-authorship network connecting the top 25 collaborators of Nithi Mahanonda. A scholar is included among the top collaborators of Nithi Mahanonda 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 Nithi Mahanonda. Nithi Mahanonda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 131 | |
| 17 | Biochemical markers of bone turnover in angiographically-demonstrated coronary artery disease patients and healthy Thais. | 2 |
| 18 | Chlamydia pneumoniae antibodies and angiographically demonstrated coronary artery disease in Thailand. | 1 |
| 19 | Comparison of parathyroid hormone in angiographically-demonstrated coronary artery disease patients and healthy Thais. | 1 |
| 20 | 20 |
About Nithi Mahanonda
Nithi Mahanonda is a scholar working on Biological Psychiatry, Microbiology and Health, having authored 57 papers that have together received 529 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 Clinical Research Studies (10 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Cardiology and Cardiovascular Medicine (197 citations) and Behavioral Neuroscience (30 citations). Nithi Mahanonda has collaborated with scholars based in Thailand, Australia and Germany. Frequent co-authors include Michael Berk, Michaël Maes, Charuwan Kangkagate, Kiertijai Bhuripanyo, S Chaithiraphan, Koonlawee Nademanee, Wattana Leowattana, Kamonwan Soonklang, Chirayu Auewarakul and Teerapat Ungtrakul. Their work appears in journals such as Scientific Reports, The American Journal of Cardiology and Journal of Pharmaceutical 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.