Joanne Chia

1.3k total citations
17 papers, 980 citations indexed

About

Joanne Chia is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Joanne Chia has authored 17 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cell Biology and 6 papers in Immunology. Recurrent topics in Joanne Chia's work include Glycosylation and Glycoproteins Research (8 papers), Cellular transport and secretion (8 papers) and Galectins and Cancer Biology (6 papers). Joanne Chia is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Cellular transport and secretion (8 papers) and Galectins and Cancer Biology (6 papers). Joanne Chia collaborates with scholars based in Singapore, France and Denmark. Joanne Chia's co-authors include Frédéric Bard, David J. Gill, Germaine Goh, Emilie A. Bard-Chapeau, Henrik Clausen, Frédéric Saltel, Manon Ros, Anh Tuan Nguyen, Catharina Steentoft and David M. Virshup and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Joanne Chia

17 papers receiving 970 citations

Peers

Joanne Chia
Comparison fields: 5 of 90
  • Molecular Biology 808
  • Immunology 315
  • Cell Biology 287
  • Organic Chemistry 159
  • Cancer Research 81
Replace Annette Bistrup with:
Annette Bistrup United States
Pam Cheung Canada
Hua‐Bei Guo United States
Nicole Comtesse Germany
Donald A. Withers United States
Daisuke Takakura Japan
Natália Rodrigues Mantuano Switzerland
Johannes W. Pedersen Denmark
Stéphane Birklé France
Damon B. Bowe United States
Annette Bistrup United States View profile →
Citations per field, relative to Joanne Chia
Joanne Chia · 1×
Citations per year, relative to Joanne Chia
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Countries citing papers authored by Joanne Chia

Since Specialization
Citations

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

Fields of papers citing papers by Joanne Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanne Chia

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2 2
3 28
4 20
5 15
6 7
7 110
8 31
9 111
10 68
11 7
12 109
13 49
14 3
15 155
16 105
17 158

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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