Doris Chan

1.7k citations
30 papers · 460 · h-index 12

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Lipoproteins and Cardiovascular Health 3
    • Chronic Kidney Disease and Diabetes 3
    • Dialysis and Renal Disease Management 3

Doris Chan

29 papers receiving 453 citations

Peers

Doris Chan
Comparison fields: 5 of 62
  • Nephrology 88
  • Transplantation 26
  • Endocrinology, Diabetes and Metabolism 83
  • Emergency Medical Services 26
  • Cardiology and Cardiovascular Medicine 68
Replace Seokwoo Park with:
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Doris Chan relative to Seokwoo Park South Korea Seokwoo Park's profile →
Citations per field
00.5×2.7×
Seokwoo Park · 1×
Citations per year

Countries citing papers authored by Doris Chan

Since Specialization
Citations

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

Fields of papers citing papers by Doris Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Doris 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 Doris Chan Line = papers co-authored together Doris Chan 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 200965
2 200854
3 201150
4 200747
5 201230
6 201326
7 201522
8 201421
9 201921
10 201219
11 201611
12 201111
13 201510
14 201510
15 20069
16 20218
17 20207
18 20137
19
The SYNTAX II Score Predicts Mortality at 4 Years in Patients Undergoing Percutaneous Coronary Intervention.
20186
20 20235

About Doris Chan

Doris Chan is a scholar working on Surgery, Nephrology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology, having authored 30 papers that have together received 460 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Central Venous Catheters and Hemodialysis (4 papers), Vascular Procedures and Complications (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Dialysis and Renal Disease Management (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Nephrology (88 citations), Transplantation (26 citations), Endocrinology, Diabetes and Metabolism (83 citations), Emergency Medical Services (26 citations) and Cardiology and Cardiovascular Medicine (68 citations). Doris Chan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Gursharan Dogra, Gerald F. Watts, Ashley Irish, Esther Ooi, Dick C. Chan, P. Hugh R. Barrett, Wai H. Lim, Neil Boudville, Ee Mun Lim and Juying Ji. Their work appears in journals such as Journal of Lipid Research, American Journal of Hypertension, Transplantation, Nephrology Dialysis Transplantation and Nephrology.

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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