Sunqu Zhang

965 citations
11 papers · 531 · h-index 10

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Alzheimer's disease research and treatments
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Lysosomal Storage Disorders Research 8
    • Erythrocyte Function and Pathophysiology 2
    • Alzheimer's disease research and treatments 1
    • Glycosylation and Glycoproteins Research 4

Sunqu Zhang

10 papers receiving 524 citations

Peers

Sunqu Zhang
Comparison fields: 5 of 60
  • Physiology 345
  • Cell Biology 216
  • Molecular Biology 247
  • Epidemiology 94
  • Physiology 14
Replace Olivera M. Grbovic with:
Olivera M. Grbovic United States
Daniele Moretti Italy
Stephanie R Murphy United States
Leanne K. Hein Australia
Gregory C. Zirzow United States
Chor Hui Vivien Koh Singapore
Elettra Sara Marini Italy
Koji Isogai Japan
Ciara Twomey Ireland
Mary Cabell Jonas United States
Sunqu Zhang relative to Olivera M. Grbovic United States Olivera M. Grbovic's profile →
Citations per field
00.5×1.5×2.1×
Olivera M. Grbovic · 1×
Citations per year

Countries citing papers authored by Sunqu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sunqu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2003251
2 200668
3 200053
4 200032
5 199732
6 199629
7 199925
8 200215
9 199714
10 200011
11 19991

About Sunqu Zhang

Sunqu Zhang is a scholar working on Physiology, Molecular Biology, Cell Biology, Epidemiology and Infectious Diseases, having authored 11 papers that have together received 531 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (8 papers), Glycosylation and Glycoproteins Research (4 papers), Trypanosoma species research and implications (3 papers), Cellular transport and secretion (3 papers), Parvovirus B19 Infection Studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Neonatal Health and Biochemistry (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Physiology (345 citations), Cell Biology (216 citations), Molecular Biology (247 citations), Epidemiology (94 citations) and Physiology (14 citations). Sunqu Zhang has collaborated with scholars based in Canada and Japan. Frequent co-authors include John W. Callahan, Richard D. Bagshaw, Don J. Mahuran, Stephen Pasternak, Cameron Ackerley, Marianne Guiral, Brian J. Pak, Aleksander Hinek, Adam C. Smith and Michael B. Tropak. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, The American Journal of Human Genetics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and FEBS Letters.

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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