Samuel Chan

887 citations
33 papers · 508 · h-index 12

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments

Papers in

    • Liver Disease Diagnosis and Treatment 2
    • Cytomegalovirus and herpesvirus research 2

Samuel Chan

32 papers receiving 491 citations

Peers

Samuel Chan
Comparison fields: 5 of 91
  • Transplantation 43
  • Nephrology 98
  • Physiology 115
  • Psychiatry and Mental health 61
  • Biological Psychiatry 8
Replace S. Ros with:
S. Ros Spain
Robert N. Montgomery United States
Maurie J. Luetkemeier United States
Nowreen Haq United States
M S Knapp United Kingdom
Klaas Franzen Germany
S. J. J. Logtenberg Netherlands
Rimei Nishimura Japan
Su Shen China
Giulio Spinucci Italy
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Citations per field
00.5×
S. Ros · 1×
Citations per year

Countries citing papers authored by Samuel Chan

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003112
2 200749
3 201747
4
Nonpharmacologic and pharmacologic management of weight gain.
199939
5 202334
6 200331
7 201928
8 201918
9 202018
10 201918
11 202016
12 201711
13 201810
14 20199
15 20229
16 20218
17 20198
18 20167
19 20187
20 20175

About Samuel Chan

Samuel Chan is a scholar working on Epidemiology, Surgery, Molecular Biology, Nephrology and Transplantation, having authored 33 papers that have together received 508 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Gut microbiota and health (4 papers), Liver Disease and Transplantation (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Pharmacology and Obesity Treatment (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Dialysis and Renal Disease Management (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Transplantation (43 citations), Nephrology (98 citations), Physiology (115 citations), Psychiatry and Mental health (61 citations) and Biological Psychiatry (8 citations). Samuel Chan has collaborated with scholars based in Australia, Hong Kong and United States. Frequent co-authors include CC Mok, Hector W. H. Tsang, David W. Johnson, Ross S. Francis, Carmel M. Hawley, George L. Blackburn, Isaac Greenberg, Maree T. Smith, Stephen R. Edwards and Bruce Wyse. Their work appears in journals such as Cochrane Database of Systematic Reviews, Nephrology, BMC Nephrology, Kidney International Reports and Clinical Colorectal Cancer.

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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