Sandra Tan

596 citations
12 papers · 518 · h-index 9

Impact in

  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Lipid Membrane Structure and Behavior
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways

Papers in

    • Endoplasmic Reticulum Stress and Disease 1
    • Advanced Proteomics Techniques and Applications 3

Sandra Tan

12 papers receiving 507 citations

Peers

Sandra Tan
Comparison fields: 5 of 94
  • Spectroscopy 123
  • Molecular Biology 309
  • Cell Biology 65
  • Cancer Research 42
  • Oncology 62
Replace Yoshio Kodera with:
Yoshio Kodera Japan
Rosa C. M. Y. Liang Singapore
Claudia Cirulli Italy
Tamara Kanashova Germany
Benjamin D. Stein United States
Barbora Šalovská Czechia
Stefan Loroch Germany
Shahin Ramazi Iran
Guadalupe Espadas Spain
Theresa A. Reno United States
Sandra Tan relative to Yoshio Kodera Japan Yoshio Kodera's profile →
Citations per field
00.5×1.5×
Yoshio Kodera · 1×
Citations per year

Countries citing papers authored by Sandra Tan

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008239
2 200271
3 200871
4 201151
5 200618
6 200017
7 201216
8 200715
9 201013
10 19994
11 20252
12 20031

About Sandra Tan

Sandra Tan is a scholar working on Cell Biology, Spectroscopy, Molecular Biology, Cancer Research and Physiology, having authored 12 papers that have together received 518 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (1 paper), Pancreatic function and diabetes (1 paper), Cancer Research and Treatments (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), RNA modifications and cancer (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Spectroscopy (123 citations), Molecular Biology (309 citations), Cell Biology (65 citations), Cancer Research (42 citations) and Oncology (62 citations). Sandra Tan has collaborated with scholars based in Singapore, Russia and Australia. Frequent co-authors include Maxey C. M. Chung, Shing Chuan Hooi, Hwee Tong Tan, Qingsong Lin, Teck Kwang Lim, Choy L. Hew, Teck Keong Seow, Rosa C. M. Y. Liang, Manuel Salto‐Tellez and Benedict Yan. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, International Journal of Molecular Medicine, PROTEOMICS - CLINICAL APPLICATIONS and International Journal of Cancer.

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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