Susanna Chan

5.8k total citations
12 papers, 342 citations indexed

About

Susanna Chan is a scholar working on Molecular Biology, Genetics and Clinical Psychology. According to data from OpenAlex, Susanna Chan has authored 12 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Clinical Psychology. Recurrent topics in Susanna Chan's work include Microtubule and mitosis dynamics (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Genomics and Rare Diseases (1 paper). Susanna Chan is often cited by papers focused on Microtubule and mitosis dynamics (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Genomics and Rare Diseases (1 paper). Susanna Chan collaborates with scholars based in Canada, United States and Sweden. Susanna Chan's co-authors include Marco A. Marra, Ivan Bourgeois, Pierre A. Grandjean, Suganthi Chittaranjan, Stephen Yip, Véronique Leblanc, Marlo Firme, Gisele Wolf‐Klein, Evgeni Efimenko and Jeffrey Chu and has published in prestigious journals such as Oncogene, Genome biology and BMC Bioinformatics.

In The Last Decade

Susanna Chan

12 papers receiving 335 citations

Peers

Susanna Chan
Comparison fields: 5 of 66
  • Molecular Biology 163
  • Genetics 114
  • Cardiology and Cardiovascular Medicine 60
  • Surgery 46
  • Cell Biology 44
Replace Violeta Stoyanova‐Beninska with:
Violeta Stoyanova‐Beninska Netherlands
Christina Pagiatakis Italy
Xue Feng China
Ondřej Souček Czechia
Amy Burnside United States
Gili Hart Israel
Marina Macchiaiolo Italy
Anna R. Duncan United States
Giuseppe Germanò Italy
Violeta Stoyanova‐Beninska Netherlands View profile →
Citations per field, relative to Susanna Chan
Susanna Chan · 1×
Citations per year, relative to Susanna Chan
Susanna Chan · 1×

Countries citing papers authored by Susanna Chan

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Chan. A scholar is included among the top collaborators of Susanna 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 Susanna Chan. Susanna Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 3
2 30
3 30
4 28
5 21
6 43
7 73
8 10
9 23
10 5
11
Taiwan's Application to the GATT: A New Urgency with the Conclusion of the Uruguay Round
1
12 75

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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