Jing-Ya Ding

1.0k citations
8 papers · 245 · h-index 7

Impact in

    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Antifungal resistance and susceptibility
    • Tuberculosis Research and Epidemiology

Papers in

    • Mycobacterium research and diagnosis 3
    • Fungal Infections and Studies 2
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune Cell Function and Interaction 2

Jing-Ya Ding

8 papers receiving 245 citations

Peers

Jing-Ya Ding
Comparison fields: 5 of 43
  • Immunology 105
  • Infectious Diseases 84
  • Microbiology 3
  • Epidemiology 117
  • Small Animals 24
Replace Han-Po Shih with:
Han-Po Shih Taiwan
Fangfang Bao China
Natalia Sampaio Moura United States
Rainer Gerdsen Germany
Enze Xing United States
Liqing Geng China
Malissa Diehl United States
Lucille M. Rich United States
Daniel Sherer United States
Bella Hu United States
Jing-Ya Ding relative to Han-Po Shih Taiwan Han-Po Shih's profile →
Citations per field
00.5×1.5×2.2×
Han-Po Shih · 1×
Citations per year

Countries citing papers authored by Jing-Ya Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Ya Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-Ya Ding. 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 Jing-Ya Ding. The network helps show where Jing-Ya Ding may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201671
2 201255
3 201647
4 202143
5 202212
6 20199
7 20226
8 20242

About Jing-Ya Ding

Jing-Ya Ding is a scholar working on Epidemiology, Immunology, Infectious Diseases, Small Animals and Molecular Biology, having authored 8 papers that have together received 245 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (3 papers), Mycobacterium research and diagnosis (3 papers), Infectious Diseases and Mycology (2 papers), Fungal Infections and Studies (2 papers), Immune Cell Function and Interaction (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Cancer-related Molecular Pathways (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Immunology (105 citations), Infectious Diseases (84 citations), Microbiology (3 citations), Epidemiology (117 citations) and Small Animals (24 citations). Jing-Ya Ding has collaborated with scholars based in Taiwan, France and United States. Frequent co-authors include Cheng‐Lung Ku, Chun‐Fu Yeh, Han-Po Shih, Yi‐Ting Lin, Tien-Shun Yeh, Tsu‐Wei Wang, Jenn‐Yah Yu, Mingyang Li, Shang‐Yu Wang and Kun‐Hua Tu. Their work appears in journals such as Journal of Clinical Immunology, Experimental Cell Research, Nature Medicine, Current Opinion in Immunology and BMC Infectious Diseases.

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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