Wanda Kwan

1.8k citations
19 papers · 861 · h-index 14

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Protein Degradation and Inhibitors 3
    • Mitochondrial Function and Pathology 3
    • Histone Deacetylase Inhibitors Research 2
    • Zebrafish Biomedical Research Applications 9

Wanda Kwan

19 papers receiving 855 citations

Peers

Wanda Kwan
Comparison fields: 5 of 75
  • Biological Psychiatry 59
  • Cell Biology 244
  • Hematology 136
  • Immunology 239
  • Cellular and Molecular Neuroscience 204
Replace Patrick Ventura with:
Patrick Ventura United States
Klaus-Armin Nave Germany
Mauro Togni Germany
Maggie L. Kalev‐Zylinska New Zealand
Marcela Bravo‐Zehnder Chile
Elide Mantuano Italy
Suwen Wei Japan
Brunella Caronti Italy
Xiaoping Liu China
Yoko Sakurai Japan
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Wanda Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014198
2 2012114
3 201694
4 200780
5 201260
6 200849
7 201042
8 201640
9 200540
10 201436
11 201631
12 201526
13 201717
14 201515
15 20179
16 20057
17
Growth inhibition of synovial sarcoma cells by curcumin
20051
18 20131
19
lnvestigating the Role of Microglia and the Immune System in Huntington's Disease
20111

About Wanda Kwan

Wanda Kwan is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Immunology, having authored 19 papers that have together received 861 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Genetic Neurodegenerative Diseases (5 papers), Epigenetics and DNA Methylation (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Protein Degradation and Inhibitors (3 papers), Mitochondrial Function and Pathology (3 papers), Immune Cell Function and Interaction (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Cell Biology (244 citations), Hematology (136 citations), Immunology (239 citations) and Cellular and Molecular Neuroscience (204 citations). Wanda Kwan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Trista E. North, Mauricio Cortes, Virginie Esain, Isaura M. Frost, Paul J. Muchowski, Sarah Y. Liu, Flaviano Giorgini, Thomas Möller, Torsten O. Nielsen and Wolfram Goessling. Their work appears in journals such as Experimental Hematology, Journal of Biological Chemistry, Molecular Cancer Therapeutics, Current topics in developmental biology and Clinical Cancer Research.

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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