Max Wong

996 citations
27 papers · 611 · h-index 12

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Metabolism and Genetic Disorders

Papers in

    • Banking stability, regulation, efficiency 2
    • Credit Risk and Financial Regulations 2
    • Financial Markets and Investment Strategies 2
    • Phytoestrogen effects and research 3

Max Wong

25 papers receiving 586 citations

Peers

Max Wong
Comparison fields: 5 of 112
  • Nephrology 107
  • Clinical Biochemistry 34
  • Biochemistry 23
  • Molecular Biology 190
  • Global and Planetary Change 53
Replace Yanyan Liu with:
Yanyan Liu China
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Miaomiao Lu China
Zyanya Lucía Zatarain-Barrón Mexico
Yukiko Yano Japan
Aihua Zhang China
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Hongzhi Li China
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Citations per field
00.5×5.3×
Yanyan Liu · 1×
Citations per year

Countries citing papers authored by Max Wong

Since Specialization
Citations

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

Fields of papers citing papers by Max Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 201482
3 201056
4 201854
5 201351
6 198438
7 201229
8 200727
9 200826
10 200826
11 201925
12 201013
13 201010
14 20227
15
Bubble Value at Risk: A Countercyclical Risk Management Approach
20117
16 20066
17 20115
18 20155
19 20114
20 20083

About Max Wong

Max Wong is a scholar working on Finance, Pathology and Forensic Medicine, Physiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 611 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (3 papers), Diet and metabolism studies (3 papers), Banking stability, regulation, efficiency (2 papers), Credit Risk and Financial Regulations (2 papers), Diabetes Treatment and Management (2 papers), Nutritional Studies and Diet (2 papers), Financial Markets and Investment Strategies (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Nephrology (107 citations), Clinical Biochemistry (34 citations), Biochemistry (23 citations), Molecular Biology (190 citations) and Global and Planetary Change (53 citations). Max Wong has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Charles Turner, Philippa Prentice, David B. Dunger, H. Y. Mok, John K. Lodge, Gary L. Lilien, R. Neil Dalton, Leif Groop, M. Julia Brosnan and Paul McKeigue. Their work appears in journals such as Journal of Adolescent Health, Metabolism, International Journal of Climatology, Journal of Chromatography B and Diabetologia.

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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