Julia Tseng

528 citations
7 papers · 480 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Protein purification and stability 1
    • Cell death mechanisms and regulation 1
    • Chemokine receptors and signaling 1

Julia Tseng

7 papers receiving 468 citations

Peers

Julia Tseng
Comparison fields: 5 of 79
  • Immunology 223
  • Immunology and Allergy 46
  • Oncology 134
  • Physiology 70
  • Molecular Biology 186
Replace K Katamura with:
K Katamura Japan
Thomas C. Ryan United States
Kumi Izawa Japan
SF Ziegler United States
Peter Scheipers Germany
Linhua Tian United States
Faustino Mollinedo Spain
Sarah Pogue United States
Elke Valk United Kingdom
Sharon A. Oldford Canada
Julia Tseng relative to K Katamura Japan K Katamura's profile →
Citations per field
00.5×
K Katamura · 1×
Citations per year

Countries citing papers authored by Julia Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Julia Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1998243
2 1992102
3 199346
4 199635
5 199825
6 198719
7 199610

About Julia Tseng

Julia Tseng is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 480 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Virus-based gene therapy research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Enzyme Structure and Function (1 paper), Immunotherapy and Immune Responses (1 paper), Chemokine receptors and signaling (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (223 citations), Immunology and Allergy (46 citations), Oncology (134 citations), Physiology (70 citations) and Molecular Biology (186 citations). Julia Tseng has collaborated with scholars based in United States and Canada. Frequent co-authors include Sergio Grinstein, Ming‐Shi Chang, Marynette Rihanek, David P. Andrew, Jennifer McNinch, Arvind Nanda, Anna S. Gukovskaya, Wendy Furuya, Jeffrey Butler and Sylvia Hu. Their work appears in journals such as Journal of Biological Chemistry, Protein Expression and Purification, Biochemical and Biophysical Research Communications, The Journal of Immunology and Virology.

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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