Jing-Ya Ding

1.0k total citations
8 papers, 245 citations indexed

About

Jing-Ya Ding is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Jing-Ya Ding has authored 8 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Jing-Ya Ding's work include Immunodeficiency and Autoimmune Disorders (3 papers), Mycobacterium research and diagnosis (3 papers) and Infectious Diseases and Mycology (2 papers). Jing-Ya Ding is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (3 papers), Mycobacterium research and diagnosis (3 papers) and Infectious Diseases and Mycology (2 papers). Jing-Ya Ding collaborates with scholars based in Taiwan, United States and France. Jing-Ya Ding's co-authors include Cheng‐Lung Ku, Chun‐Fu Yeh, Han-Po Shih, Tien-Shun Yeh, Jenn‐Yah Yu, Mingyang Li, Tsu‐Wei Wang, Yi‐Ting Lin, Kun‐Hua Tu and Hung-Kai Chen and has published in prestigious journals such as Nature Medicine, Experimental Cell Research and Current Opinion in Immunology.

In The Last Decade

Jing-Ya Ding

8 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jing-Ya Ding Taiwan 7 117 105 84 53 44 8 245
Han-Po Shih Taiwan 5 104 0.9× 100 1.0× 78 0.9× 21 0.4× 10 0.2× 6 188
Fangfang Bao China 8 86 0.7× 76 0.7× 66 0.8× 36 0.7× 36 0.8× 27 216
Enze Xing United States 6 99 0.8× 79 0.8× 84 1.0× 38 0.7× 10 0.2× 10 245
Rainer Gerdsen Germany 8 52 0.4× 34 0.3× 24 0.3× 38 0.7× 22 0.5× 15 181
Natalia Sampaio Moura United States 7 31 0.3× 50 0.5× 27 0.3× 66 1.2× 7 0.2× 12 159
Lucille M. Rich United States 9 34 0.3× 64 0.6× 33 0.4× 49 0.9× 17 0.4× 16 181
Florent Arbogast France 7 156 1.3× 195 1.9× 40 0.5× 132 2.5× 15 0.3× 7 322
Ruihua Shi China 8 48 0.4× 66 0.6× 42 0.5× 75 1.4× 5 0.1× 21 221
Malissa Diehl United States 7 36 0.3× 65 0.6× 34 0.4× 84 1.6× 7 0.2× 8 199
Liqing Geng China 6 33 0.3× 24 0.2× 57 0.7× 344 6.5× 11 0.3× 9 436

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-authorship network of co-authors of Jing-Ya Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-Ya Ding. A scholar is included among the top collaborators of Jing-Ya Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing-Ya Ding. Jing-Ya Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wang, Shang‐Yu, Yi‐Hui Wu, Mao‐Wang Ho, et al.. (2024). The Pathogenic Role of Anti-Granulocyte-Macrophage Colony-Stimulating Factor Autoantibodies in the Nocardiosis with the Central Nervous System Involvement. Journal of Clinical Immunology. 44(8). 176–176. 2 indexed citations
2.
Chen, Yi‐Chun, Shao‐Wen Weng, Jing-Ya Ding, et al.. (2022). Clinicopathological Manifestations and Immune Phenotypes in Adult-Onset Immunodeficiency with Anti-interferon-γ Autoantibodies. Journal of Clinical Immunology. 42(3). 672–683. 12 indexed citations
3.
Kuo, Chen-Yen, Cheng‐Lung Ku, Shao‐Hsuan Hsia, et al.. (2022). Life-Threatening Enterovirus 71 Encephalitis in Unrelated Children with Autosomal Dominant TLR3 Deficiency. Journal of Clinical Immunology. 42(3). 606–617. 6 indexed citations
4.
Shih, Han-Po, et al.. (2021). Anti-interferon-γ autoantibody-associated immunodeficiency. Current Opinion in Immunology. 72. 206–214. 43 indexed citations
5.
Ding, Jing-Ya, et al.. (2019). Disseminated Mycobacterium avium complex infection mimicking malignancy in a patient with anti-IFN-γ autoantibodies: a case report. BMC Infectious Diseases. 19(1). 909–909. 9 indexed citations
6.
Lin, Chia‐Hao, Han-Po Shih, Jing-Ya Ding, et al.. (2016). Identification of a major epitope by anti-interferon-γ autoantibodies in patients with mycobacterial disease. Nature Medicine. 22(9). 994–1001. 71 indexed citations
7.
Wang, Shang‐Yu, Han-Po Shih, Kun‐Hua Tu, et al.. (2016). Disseminated Cryptococcosis Due to Anti-Granulocyte-Macrophage Colony-Stimulating Factor Autoantibodies in the Absence of Pulmonary Alveolar Proteinosis. Journal of Clinical Immunology. 37(2). 143–152. 47 indexed citations
8.
Lin, Yi‐Ting, Jing-Ya Ding, Mingyang Li, et al.. (2012). YAP regulates neuronal differentiation through Sonic hedgehog signaling pathway. Experimental Cell Research. 318(15). 1877–1888. 55 indexed citations

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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