Junying Jia

503 citations
10 papers · 405 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Endoplasmic Reticulum Stress and Disease
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Ubiquitin and proteasome pathways 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Viral-associated cancers and disorders 2

Junying Jia

10 papers receiving 398 citations

Peers

Junying Jia
Comparison fields: 5 of 69
  • Immunology 109
  • Cell Biology 77
  • Oncology 95
  • Neurology 21
  • Epidemiology 76
Replace Shefali Krishna with:
Shefali Krishna United States
Kendra S. Plafker United States
Benjamin Yazdanpanah Germany
Nicole Arbour Canada
N. Núñez‐Andrade Spain
Noriyo Tokuda Japan
Shiro Kanamori Japan
Song Fu China
Iris K. L. Tan Australia
Lanjun Xu China
Junying Jia relative to Shefali Krishna United States Shefali Krishna's profile →
Citations per field
00.5×2.6×
Shefali Krishna · 1×
Citations per year

Countries citing papers authored by Junying Jia

Since Specialization
Citations

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

Fields of papers citing papers by Junying Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201183
2 201570
3 200345
4 201839
5 201639
6 200832
7 200931
8 201828
9 200820
10 201218

About Junying Jia

Junying Jia is a scholar working on Molecular Biology, Oncology, Cell Biology, Pathology and Forensic Medicine and Epidemiology, having authored 10 papers that have together received 405 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), Autophagy in Disease and Therapy (2 papers), Immune Response and Inflammation (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Immunology (109 citations), Cell Biology (77 citations), Oncology (95 citations), Neurology (21 citations) and Epidemiology (76 citations). Junying Jia has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Yanfang Wu, Jie Tang, Bin Wang, Yong‐Jun Liu, Na Li, Quan Chen, Fei Tang, Lawrence S. Young, Andrew Bell and Jie Tang. Their work appears in journals such as PLoS ONE, Protein & Cell, Virology, The Journal of Rheumatology and Brain Behavior and Immunity.

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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