Daniel Chan

458 citations
18 papers · 96 · h-index 5

Impact in

Papers in

Daniel Chan

14 papers receiving 93 citations

Peers

Daniel Chan
Comparison fields: 5 of 24
  • Cardiology and Cardiovascular Medicine 52
  • Family Practice 3
  • Oncology 18
  • Health Information Management 3
  • Surgery 13
Replace Edoardo Casali with:
Edoardo Casali Italy
Omar S. Obeidat United States
Luís Guirado Spain
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Massimiliano Manfrin Italy
Estuardo Salgado Spain
Syunsuke Saga Japan
Ahmed Ibrahim Norway
Amayak Kevorkov Belarus
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Daniel Chan relative to Edoardo Casali Italy Edoardo Casali's profile →
Citations per field
00.5×2×3×
Edoardo Casali · 1×
Citations per year

Countries citing papers authored by Daniel Chan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202123
2 202021
3 202116
4 20248
5 20236
6 20194
7 20204
8 20234
9 20213
10
Prognostic significance of mid-range ejection fraction following acute coronary syndrome (ANZACS-QI 23).
20212
11 20242
12 20191
13
Heart failure clinics improve use of evidence-based heart failure therapies in patients with reduced ejection fraction following acute coronary syndrome (ANZACS-QI 48).
20201
14 20241
15
Not all mitral stenosis are due to valve disease.
20190
16 20200
17 20220
18 20240

About Daniel Chan

Daniel Chan is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Surgery, Family Practice and Psychiatry and Mental health, having authored 18 papers that have together received 96 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (10 papers), Acute Myocardial Infarction Research (3 papers), Coronary Interventions and Diagnostics (3 papers), Medical Coding and Health Information (2 papers), Healthcare Quality and Management (1 paper), COVID-19 and healthcare impacts (1 paper), Migraine and Headache Studies (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (52 citations), Family Practice (3 citations), Oncology (18 citations), Health Information Management (3 citations) and Surgery (13 citations). Daniel Chan has collaborated with scholars based in New Zealand. Frequent co-authors include Andrew Kerr, Robert Neil Doughty, Katrina Poppe, Mayanna Lund, Vanessa Selak, Corina Grey, Matire L. N. Harwood, Tony Scott, Mildred Lee and Shanthi N. Ameratunga. Their work appears in journals such as Heart, The Lancet Regional Health - Western Pacific, International Journal of Cardiology, Heart Lung and Circulation and New Zealand Medical Journal.

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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