W. M. Kong

13 papers receiving 781 citations

Hit Papers

The cost of diabetic foot ulcers and amputations to the National Health Service in England 2019 · 271 citations
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Peers

W. M. Kong
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 270
  • Occupational Therapy 130
  • Rehabilitation 175
  • Endocrinology, Diabetes and Metabolism 377
  • Behavioral Neuroscience 59
Replace Csaba Csontos with:
Csaba Csontos Hungary
Monia Zaouali Tunisia
A. C. Hackney United States
Lisa G. Johnson United States
Richard Diego Leite Brazil
Cheyne E. Donges Australia
K.‐G. Petersen Germany
Cynthia M. Ferrara United States
A. Dessypris Finland
Angelo Tremblay Canada
W. M. Kong relative to Csaba Csontos Hungary Csaba Csontos's profile →
Citations per field
00.5×8.1×
Csaba Csontos · 1×
Citations per year

Countries citing papers authored by W. M. Kong

Since Specialization
Citations

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

Fields of papers citing papers by W. M. Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. M. Kong. 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 W. M. Kong. The network helps show where W. M. Kong may publish in the future.

Co-authors

The 25 scholars most cited alongside W. M. Kong, 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 W. M. Kong Line = papers co-authored together W. M. Kong links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20252
2 202118
3
The cost of diabetic foot ulcers and amputations to the National Health Service in England
Hit paper breakdown →
2019271
4 201351
5 20120
6 20063
7 200510
8 200450
9 20043
10 200441
11 2003110
12
The Modified Free Cortisol Index allows Reliable Interpretation of Total Cortisol Levels in Women on Oestrogen and Post-operative Patients
20021
13 2000221
14 199918

About W. M. Kong

W. M. Kong is a scholar working on Health Informatics, Endocrine and Autonomic Systems, Occupational Therapy, Endocrinology, Diabetes and Metabolism and Physiology, having authored 14 papers that have together received 799 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (2 papers), Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (2 papers), Adrenal Hormones and Disorders (2 papers), Biomedical Ethics and Regulation (2 papers), Thyroid Disorders and Treatments (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (270 citations), Occupational Therapy (130 citations), Rehabilitation (175 citations), Endocrinology, Diabetes and Metabolism (377 citations) and Behavioral Neuroscience (59 citations). W. M. Kong has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Bob Young, Marion Kerr, Stephen R. Bloom, Mark Sutton‐Smith, Paul Chadwick, Gerry Rayman, T. Evans, William Jeffcoate, Emma Barron and George Todd. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Obesity and Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Journal of Medical Ethics and Diabetic Medicine.

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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2026