Yee‐How Say
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Immunology and Allergy top 10%
- Allergic Rhinitis and Sensitization
Papers in
-
- Allergic Rhinitis and Sensitization 11
- Food Allergy and Anaphylaxis Research 8
- Dermatology 16
- Dermatology and Skin Diseases 13
- Co-authors
- Fook Tim ChewYang Yie SioYeannie H. Y. YapChi‐Jing ChoongKavita ReginaldYu Ting NgNigel M. HooperKing‐Hwa Ling
In The Last Decade
Yee‐How Say
63 papers receiving 639 citations
Peers
Comparison fields: 5 of 97
- Dermatology 109
- Immunology and Allergy 72
- Endocrine and Autonomic Systems 76
- Nutrition and Dietetics 139
- Sensory Systems 43
Countries citing papers authored by Yee‐How Say
This map shows the geographic impact of Yee‐How Say'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 Yee‐How Say with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee‐How Say more than expected).
Fields of papers citing papers by Yee‐How Say
This network shows the impact of papers produced by Yee‐How Say. 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 Yee‐How Say. The network helps show where Yee‐How Say may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yee‐How Say, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 12 | |
| 15 | 2017 | 2 | |
| 16 | 2014 | 10 | |
| 17 | Prevalence of melanocortin receptor 4 (MC4R) V103I gene variant and its association with obesity among the Kampar Health Clinic cohort, Perak, Malaysia. | 2012 | 4 |
| 18 | Prevalence of Depression and Cognitive Distortion among a Cohort of Malaysian Tertiary Students | 2012 | 3 |
| 19 | 2011 | 16 | |
| 20 | 2007 | 15 |
About Yee‐How Say
Yee‐How Say is a scholar working on Immunology and Allergy, Dermatology, Nutrition and Dietetics, Physiology and Endocrine and Autonomic Systems, having authored 70 papers that have together received 656 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (15 papers), Dermatology and Skin Diseases (13 papers), Allergic Rhinitis and Sensitization (11 papers), Biochemical Analysis and Sensing Techniques (9 papers), Food Allergy and Anaphylaxis Research (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Dermatology (109 citations), Immunology and Allergy (72 citations), Endocrine and Autonomic Systems (76 citations), Nutrition and Dietetics (139 citations) and Sensory Systems (43 citations). Yee‐How Say has collaborated with scholars based in Malaysia, Singapore and Taiwan. Frequent co-authors include Fook Tim Chew, Yang Yie Sio, Yeannie H. Y. Yap, Chi‐Jing Choong, Kavita Reginald, Yu Ting Ng, Nigel M. Hooper, King‐Hwa Ling, Rozita Rosli and Sze Lei Pang. Their work appears in journals such as International Archives of Allergy and Immunology, Scientific Reports, World Allergy Organization Journal, BMC Public Health and Journal of PHYSIOLOGICAL ANTHROPOLOGY.
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.