Daniel Chan

1.5k citations
29 papers · 548 · h-index 9

Impact in

Papers in

Daniel Chan

21 papers receiving 530 citations

Peers

Daniel Chan
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 188
  • Paleontology 60
  • Anthropology 37
  • Spectroscopy 43
  • Pulmonary and Respiratory Medicine 69
Replace James R. Priest with:
James R. Priest United States
E. Sanz Spain
Rose Duffield United States
Paola Di Rocco Italy
Jason Cowan United States
Rosa Domínguez Spain
J. J. van der Meer Netherlands
Joseph C. Thomas United States
Haixia Zhang China
Rosalind P. Murray‐McIntosh New Zealand
Daniel Chan relative to James R. Priest United States James R. Priest's profile →
Citations per field
00.5×10×14.3×
James R. Priest · 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

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002221
2 202096
3 201280
4 200929
5 201828
6 202119
7 202112
8 201410
9
20039
10 20178
11
Elecsys TSH, FT4, T4, T-uptake, FT3 and T3. Clinical results of a multicentre study.
19987
12 20245
13 20234
14 20194
15 20204
16 20234
17 20213
18
Prognostic significance of mid-range ejection fraction following acute coronary syndrome (ANZACS-QI 23).
20212
19 20191
20
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

About Daniel Chan

Daniel Chan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Health Information Management and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 548 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (7 papers), Blood Pressure and Hypertension Studies (2 papers), Medical Coding and Health Information (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Gene expression and cancer classification (1 paper), Advanced X-ray and CT Imaging (1 paper) and Analytic Number Theory Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (188 citations), Paleontology (60 citations), Anthropology (37 citations), Spectroscopy (43 citations) and Pulmonary and Respiratory Medicine (69 citations). Daniel Chan has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include George M. Williams, Bruce A. Perler, Lee A. Fleisher, Nauder Faraday, Todd Dorman, Peter J. Pronovost, Lauren J. Kim, Regent Lee, Andrew Kerr and Yingwei Hu. Their work appears in journals such as Heart, Clinical Endocrinology, Circulation, Algebra & Number Theory and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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