Michael Heung

13.1k citations
128 papers · 3.2k · h-index 30

Impact in

Papers in

    • Acute Kidney Injury Research 53
    • Dialysis and Renal Disease Management 18
    • Chronic Kidney Disease and Diabetes 17
    • Sepsis Diagnosis and Treatment 8

Michael Heung

114 papers receiving 3.2k citations

Peers

Michael Heung
Comparison fields: 5 of 121
  • Nephrology 1.6k
  • Critical Care and Intensive Care Medicine 370
  • Emergency Medicine 236
  • Emergency Medical Services 103
  • Cardiology and Cardiovascular Medicine 271
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Etienne Macedo United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Heung

Since Specialization
Citations

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

Fields of papers citing papers by Michael Heung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009416
2 2014173
3 2019158
4 2020157
5 2011154
6 2011144
7 2012129
8 2012110
9 201599
10 201273
11 201065
12 201165
13 201757
14 201551
15 201449
16 201542
17 201536
18 201036
19 201735
20 201735

About Michael Heung

Michael Heung is a scholar working on Nephrology, Epidemiology, Emergency Medicine, Surgery and Critical Care and Intensive Care Medicine, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (53 papers), Dialysis and Renal Disease Management (18 papers), Chronic Kidney Disease and Diabetes (17 papers), Sepsis Diagnosis and Treatment (8 papers), Central Venous Catheters and Hemodialysis (7 papers), Cardiac Arrest and Resuscitation (6 papers), Hemodynamic Monitoring and Therapy (5 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). The work is most often cited by research in Nephrology (1.6k citations), Critical Care and Intensive Care Medicine (370 citations), Emergency Medicine (236 citations), Emergency Medical Services (103 citations) and Cardiology and Cardiovascular Medicine (271 citations). Michael Heung has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sachin Kheterpal, Lakhmir S. Chawla, Amy Shanks, Kevin K. Tremper, Andrew L. Rosenberg, Michael J. Englesbe, Darrell A. Campbell, Mallika Kommareddi, Thomas P. Shanley and David T. Selewski. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, BMC Nephrology, Blood Purification, Journal of the American Society of Nephrology and The Annals of Thoracic Surgery.

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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