Kwee Poo Yeo
- Pharmacology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Psychiatry and Mental health top 10%
- Molecular Biology
- Pharmacology top 5%
- Co-authors
- Stephen D. WiseAlan X. PanMary Pat KnadlerMaggie LimKorbtham SathirakulShobha ReddyMichael SkinnerCeledon Gonzales
- Topics
- Treatment of Major Depression (6 papers)Diabetes Management and Research (5 papers)Diabetes Treatment and Management (5 papers)
- Journals
- Journal of the American Statistical AssociationThe Journal of Clinical Endocrinology & MetabolismAntimicrobial Agents and Chemotherapy
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Kwee Poo Yeo
26 papers receiving 546 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 153
- Endocrinology, Diabetes and Metabolism 138
- Psychiatry and Mental health 131
- Molecular Biology 112
- Pharmacology 99
Countries citing papers authored by Kwee Poo Yeo
This map shows the geographic impact of Kwee Poo Yeo'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 Kwee Poo Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwee Poo Yeo more than expected).
Fields of papers citing papers by Kwee Poo Yeo
This network shows the impact of papers produced by Kwee Poo Yeo. 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 Kwee Poo Yeo. The network helps show where Kwee Poo Yeo may publish in the future.
Co-authorship network of co-authors of Kwee Poo Yeo
This figure shows the co-authorship network connecting the top 25 collaborators of Kwee Poo Yeo. A scholar is included among the top collaborators of Kwee Poo Yeo 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 Kwee Poo Yeo. Kwee Poo Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 34 | |
| 6 | 11 | |
| 7 | 53 | |
| 8 | 36 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 34 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 21 | |
| 15 | 31 | |
| 16 | 10 | |
| 17 | 8 | |
| 18 | 23 | |
| 19 | 15 | |
| 20 | 6 |
About Kwee Poo Yeo
Kwee Poo Yeo is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 26 papers that have together received 562 indexed citations. Recurring topics across this work include Treatment of Major Depression (6 papers), Diabetes Management and Research (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Pharmacology (99 citations), Pharmacology (153 citations) and Psychiatry and Mental health (131 citations). Kwee Poo Yeo has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Stephen D. Wise, Alan X. Pan, Mary Pat Knadler, Maggie Lim, Korbtham Sathirakul, Shobha Reddy, Michael Skinner, Celedon Gonzales, Martin T. Wells and Kenneth Mace. Their work appears in journals such as Journal of the American Statistical Association, The Journal of Clinical Endocrinology & Metabolism and Antimicrobial Agents and Chemotherapy.
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.