P. Poon

749 citations
28 papers · 512 · h-index 12

Impact in

Papers in

P. Poon

27 papers receiving 484 citations

Peers

P. Poon
Comparison fields: 5 of 88
  • Family Practice 27
  • Complementary and alternative medicine 59
  • Drug Discovery 1
  • Health 43
  • Geriatrics and Gerontology 11
Replace Hasan İlkova with:
Hasan İlkova Türkiye
Zhaolan Liu China
Wendy L. McBee United States
Robert W. Piepho United States
Jordi Merino Spain
Rebecca N Gray United States
Sankha Shubhra Chakrabarti India
Maryam Shabani Iran
Chung‐Hsuen Wu United States
Andri Signorell Switzerland
P. Poon relative to Hasan İlkova Türkiye Hasan İlkova's profile →
Citations per field
00.5×8.6×
Hasan İlkova · 1×
Citations per year

Countries citing papers authored by P. Poon

Since Specialization
Citations

This map shows the geographic impact of P. Poon'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 P. Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Poon more than expected).

Fields of papers citing papers by P. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Poon. 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 P. Poon. The network helps show where P. Poon may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Poon Line = papers co-authored together P. Poon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 197274
3
The use of alternative therapies by Auckland general practitioners.
199070
4
A study of calcium and vitamin D metabolism in Chinese patients with pulmonary tuberculosis.
199448
5 200134
6 202230
7 202329
8 202226
9 200426
10 202318
11 202315
12 202115
13 202311
14 20257
15 20227
16 20225
17 20214
18 20213
19 20222
20 19952

About P. Poon

P. Poon is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Health, Family Practice and Endocrine and Autonomic Systems, having authored 28 papers that have together received 512 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Vaccine Coverage and Hesitancy (3 papers), Sodium Intake and Health (2 papers), HIV/AIDS Research and Interventions (2 papers), Nutrition and Health in Aging (2 papers), Circadian rhythm and melatonin (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Family Practice (27 citations), Complementary and alternative medicine (59 citations), Drug Discovery (1 citation), Health (43 citations) and Geriatrics and Gerontology (11 citations). P. Poon has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Samuel Yeung Shan Wong, B. Collier, Kam-Pui Lee, Chun‐Pong Yu, Benjamin Hon Kei Yip, Yacong Bo, Mengting Zhu, Martin C. S. Wong, Kin On Kwok and Ravi B. Patel. Their work appears in journals such as Journal of Hypertension, BMC Public Health, Vaccines, The Prostate and BMC Geriatrics.

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.

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