Ip Tim Lau
Impact in
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- Diabetes Treatment and Management
- Thyroid Disorders and Treatments
- Diabetes Management and Research
- Growth Hormone and Insulin-like Growth Factors
- Diabetes Management and Education
- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Chronic Kidney Disease and Diabetes
Papers in
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- Diabetes Management and Research 3
- Diabetes Treatment and Management 2
- Diabetes Management and Education 2
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- Chronic Disease Management Strategies 3
- Neuroendocrine Tumor Research Advances 2
- Co-authors
- Ming Wai Yeung (3 shared papers)Silvana Pannain (1 shared paper)Samuel Refetoff (1 shared paper)Paolo Emidio Macchia (1 shared paper)Roy E. Weiss (1 shared paper)Joachim Pohlenz (1 shared paper)Wing‐Yee So (1 shared paper)Man-Wo Tsang (1 shared paper)
In The Last Decade
Ip Tim Lau
11 papers receiving 245 citations
Peers
Comparison fields: 5 of 44
- Endocrinology, Diabetes and Metabolism 203
- Nephrology 36
- Epidemiology 54
- Family Practice 3
- Genetics 30
Countries citing papers authored by Ip Tim Lau
This map shows the geographic impact of Ip Tim Lau'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 Ip Tim Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ip Tim Lau more than expected).
Fields of papers citing papers by Ip Tim Lau
This network shows the impact of papers produced by Ip Tim Lau. 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 Ip Tim Lau. The network helps show where Ip Tim Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Ip Tim Lau, 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 | 2009 | 89 | |
| 2 | 1999 | 70 | |
| 3 | 2017 | 40 | |
| 4 | 2017 | 21 | |
| 5 | 1998 | 10 | |
| 6 | Usage of a fixed dose of radioactive iodine for the treatment of hyperthyroidism: one-year outcome in a regional hospital in Hong Kong. | 2009 | 8 |
| 7 | Cost implication of team-based structured versus usual care for type 2 diabetic patients with chronic renal disease. | 2011 | 7 |
| 8 | 2014 | 3 | |
| 9 | 2021 | 2 | |
| 10 | Review on the use of insulin in primary care. | 2013 | 2 |
| 11 | 2017 | 1 |
About Ip Tim Lau
Ip Tim Lau is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Surgery and Economics and Econometrics, having authored 11 papers that have together received 253 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Chronic Disease Management Strategies (3 papers), Diabetes and associated disorders (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Diabetes Treatment and Management (2 papers), Diabetes Management and Education (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Nephrology (36 citations), Epidemiology (54 citations), Family Practice (3 citations) and Genetics (30 citations). Ip Tim Lau has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ming Wai Yeung, Silvana Pannain, Samuel Refetoff, Paolo Emidio Macchia, Roy E. Weiss, Joachim Pohlenz, Wing‐Yee So, Man-Wo Tsang, Peter C.Y. Tong and Chun‐Yip Yeung. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Diabetes Care, Diabetes Metabolic Syndrome and Obesity, Diabetes & Metabolism Journal and The Journal of Clinical Endocrinology & Metabolism.
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.