Sam W. Chan

13 total papers · 444 total citations
9 papers, 147 citations indexed

About

Sam W. Chan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sam W. Chan has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Sam W. Chan's work include Molecular Biology Techniques and Applications (4 papers), Mitochondrial Function and Pathology (3 papers) and DNA Repair Mechanisms (3 papers). Sam W. Chan is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Mitochondrial Function and Pathology (3 papers) and DNA Repair Mechanisms (3 papers). Sam W. Chan collaborates with scholars based in Canada, South Africa and United Kingdom. Sam W. Chan's co-authors include Armen Aprikian, Nam V. Nguyen, Armand Zini, Naif Alhathal, Maria San Gabriel, Simone Chevalier, Philippe D. Violette, Wassim Kassouf, Simon Tanguay and Wenjing Tang and has published in prestigious journals such as European Urology, BioMed Research International and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Sam W. Chan

9 papers receiving 143 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sam W. Chan 77 38 26 24 20 9 147
Nesa Marti 90 1.2× 19 0.5× 77 3.0× 15 0.6× 51 2.5× 12 226
Dorota J. Hawksworth 97 1.3× 76 2.0× 26 1.0× 45 1.9× 16 0.8× 13 231
Clara Yujing Cheong 110 1.4× 12 0.3× 11 0.4× 16 0.7× 19 0.9× 12 160
Matthias Viemann 217 2.8× 43 1.1× 18 0.7× 6 0.3× 10 0.5× 10 270
Avgi Andreou 65 0.8× 28 0.7× 143 5.5× 18 0.8× 73 3.6× 8 237
Xiaotian Ni 74 1.0× 15 0.4× 6 0.2× 23 1.0× 5 0.3× 9 158
Violeta Stojanovska 34 0.4× 22 0.6× 5 0.2× 12 0.5× 19 0.9× 18 241
Huijia Fu 47 0.6× 12 0.3× 23 0.9× 16 0.7× 27 1.4× 13 191
N. Miller 54 0.7× 12 0.3× 39 1.5× 16 0.7× 15 0.8× 13 270
Bell Et 28 0.4× 15 0.4× 6 0.2× 8 0.3× 5 0.3× 8 134

Countries citing papers authored by Sam W. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Sam W. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam W. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Sam W. Chan. A scholar is included among the top collaborators of Sam W. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sam W. Chan. Sam W. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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