Daniel J. Wong

423 citations
20 papers · 275 indexed · h-index 7

Impact in

Papers in

Daniel J. Wong

18 papers receiving 272 citations

Peers

Daniel J. Wong
Comparison fields: 5 of 76
  • Internal Medicine 14
  • Epidemiology 106
  • Surgery 129
  • Anesthesiology and Pain Medicine 14
  • Genetics 70
Replace William R. Critchley with:
William R. Critchley United Kingdom
N. Yonan United Kingdom
Kwabena Mawulawde United States
D F Devereux United States
Rodney Kovach United States
Mitchell E. Hughes United States
Luigi Pirelli United States
Tomoyuki Ueki Japan
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Citations per field
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William R. Critchley · 1×
Citations per year

Countries citing papers authored by Daniel J. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20224
3 20216
4 20218
5 20215
6 20213
7 202134
8 20204
9 20203
10 201933
11 20193
12 201965
13 201726
14 20174
15 20161
16 20160
17 20145
18
Arterial shear stress reduces eph-b4 expression in adult human veins.
201421
19 201247
20
Simultaneous Mobility Problem Statement
20083

About Daniel J. Wong

Daniel J. Wong is a scholar working on Internal Medicine, Molecular Medicine, Gastroenterology, Genetics and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 275 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Microscopic Colitis (3 papers), Hydrogels: synthesis, properties, applications (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Nausea and vomiting management (1 paper), Biomedical and Engineering Education (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Internal Medicine (14 citations), Epidemiology (106 citations), Surgery (129 citations), Anesthesiology and Pain Medicine (14 citations) and Genetics (70 citations). Daniel J. Wong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Vitaliy Poylin, Eve M. Roth, Joseph D. Feuerstein, Thomas E. Cataldo, Thomas Curran, James Ramsay, Leeanne Grigg, Ajay J. Iyengar, Gavin Wheaton and Christian P. Brizard. Their work appears in journals such as Diseases of the Colon & Rectum, Journal of surgical education, The American Surgeon, Journal of Materials Chemistry B and Gastrointestinal Endoscopy.

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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