Jenny Chik

896 citations
7 papers · 621 · h-index 5

Impact in

    • Glycosylation and Glycoproteins Research
    • Advanced biosensing and bioanalysis techniques
    • Genomics and Phylogenetic Studies

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA modifications and cancer 1
    • Bioinformatics and Genomic Networks 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Cellular transport and secretion 2

Jenny Chik

7 papers receiving 614 citations

Peers

Jenny Chik
Comparison fields: 5 of 84
  • Aging 16
  • Molecular Biology 490
  • Immunology 142
  • Spectroscopy 87
  • Cell Biology 65
Replace Agata Steenackers with:
Agata Steenackers France
Le Meng United States
Rhushikesh A. Kulkarni United States
Ina Yoon South Korea
Jacob P. Turowec Canada
Caroline M. Woolston United Kingdom
Debasish Paul India
Martin Golkowski United States
Greg A. Timblin United States
Laura C.A. Galbraith United Kingdom
Jenny Chik relative to Agata Steenackers France Agata Steenackers's profile →
Citations per field
00.5×4.8×
Agata Steenackers · 1×
Citations per year

Countries citing papers authored by Jenny Chik

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Chik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jenny Chik, 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 Jenny Chik Line = papers co-authored together Jenny Chik links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013420
2 2017101
3 201454
4 201821
5 201221
6 20143
7
Detecting alterations of golgi resident glycosylation enzymes via quantitative proteomics: analysis of enriched golgi membranes
20131

About Jenny Chik

Jenny Chik is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Immunology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 621 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Cellular transport and secretion (2 papers), RNA modifications and cancer (1 paper), Bioinformatics and Genomic Networks (1 paper), Birth, Development, and Health (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Aging (16 citations), Molecular Biology (490 citations), Immunology (142 citations), Spectroscopy (87 citations) and Cell Biology (65 citations). Jenny Chik has collaborated with scholars based in Australia and Canada. Frequent co-authors include Nicolle H. Packer, Merrina Anugraham, Ling Y. Lee, Jodie L. Abrahams, Leonard J. Foster, Nicole M. Templeman, Sunita Sinha, Stéphane Flibotte, Corey Nislow and Gareth E. Lim. Their work appears in journals such as PROTEOMICS - CLINICAL APPLICATIONS, BMC Genomics, Journal of Proteomics, Journal of Proteome Research and Glycobiology.

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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