Nathan Chan

24 papers receiving 410 citations

Peers

Nathan Chan
Comparison fields: 5 of 72
  • Health Informatics 15
  • Endocrinology, Diabetes and Metabolism 73
  • Cardiology and Cardiovascular Medicine 90
  • Physiology 88
  • Genetics 33
Replace Gökhan Erdem with:
Gökhan Erdem Türkiye
Mihaela C. Blendea United States
Thomas F. Lüscher Switzerland
Sandhya Sara Thomas United States
Kumiko Moriwaki Japan
Paul Fennessy Australia
Mariko Suetsugu Japan
Sabrina Nagassaki Brazil
Kiyoko Ito Japan
Barbara Malanchini Italy
Nathan Chan relative to Gökhan Erdem Türkiye Gökhan Erdem's profile →
Citations per field
00.5×2×4×6×7×
Gökhan Erdem · 1×
Citations per year

Countries citing papers authored by Nathan Chan

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002100
2 200178
3 200242
4 200237
5 202320
6 202520
7 202318
8
Pheochromocytoma manifesting with shock presents a clinical paradox: a case report.
199716
9
Osteoclastomalike anaplastic carcinoma of the thyroid. Diagnosis by fine needle aspiration cytology.
199015
10 200215
11 200211
12 200110
13 20019
14 20017
15 20027
16 20036
17 20215
18 20013
19 20233
20 20013

About Nathan Chan

Nathan Chan is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 26 papers that have together received 434 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Treatment of Major Depression (2 papers), Electroconvulsive Therapy Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Health Informatics (15 citations), Endocrinology, Diabetes and Metabolism (73 citations), Cardiology and Cardiovascular Medicine (90 citations), Physiology (88 citations) and Genetics (33 citations). Nathan Chan has collaborated with scholars based in United Kingdom, Canada and China. Frequent co-authors include Juliana Chan, Helen Martina Colhoun, Patrick J. Vallance, John Fuller, Aroon Dinesh Hingorani, Steve Eric Humphries, Francesco Paolo Zito, Michael B. Rubens, Heidemarie Abrahamian and J. H. Fuller. Their work appears in journals such as Diabetes Care, The Lancet, Diabetologia, Journal of the Royal Society of Medicine and Journal of the American College of Cardiology.

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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