Eric Sy

25 papers receiving 635 citations

Peers

Eric Sy
Comparison fields: 5 of 86
  • Hepatology 84
  • Emergency Medicine 89
  • Critical Care and Intensive Care Medicine 24
  • Biomedical Engineering 211
  • Global and Planetary Change 94
Replace John Moloney with:
John Moloney Australia
Curtis Kennedy United States
Gonzalo Hernández Spain
Mohamed Shokr United States
Ramandeep Kaur United States
Kei Nishiyama Japan
Kevin Walsh United States
James G. Parker United States
Qishi Zheng Singapore
Chii-Hwa Chern Taiwan
Eric Sy relative to John Moloney Australia John Moloney's profile →
Citations per field
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John Moloney · 1×
Citations per year

Countries citing papers authored by Eric Sy

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 2016115
3 2016111
4 201878
5 201841
6 201935
7 201622
8 201512
9 20228
10 20218
11 20227
12 20207
13 20227
14 20207
15 20216
16 20226
17 20215
18 20234
19 20214
20 20214

About Eric Sy

Eric Sy is a scholar working on Hepatology, Surgery, Epidemiology, Emergency Medicine and Biomedical Engineering, having authored 30 papers that have together received 644 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (6 papers), Mechanical Circulatory Support Devices (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiac Arrest and Resuscitation (2 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 Clinical Research Studies (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hepatology (84 citations), Emergency Medicine (89 citations), Critical Care and Intensive Care Medicine (24 citations), Biomedical Engineering (211 citations) and Global and Planetary Change (94 citations). Eric Sy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hussein D. Kanji, Eddy Fan, Michael C. Sklar, Laurance Lequier, Constantine Karvellas, Juan J. Ronco, Todd Karsies, Elizabeth Mostofsky, Matthew J. Burke and Michael Fralick. Their work appears in journals such as Journal of Critical Care, Critical Care Medicine, Journal of Intensive Care Medicine, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and Journal of the Intensive Care Society.

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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