Chia‐Hsin Ju
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Oncology 4
- Lung Cancer Research Studies 3
- Co-authors
- William H. Robinson (8 shared papers)Sarah Kongpachith (6 shared papers)Lisa K. Blum (6 shared papers)Daniel Lu (3 shared papers)Tamsin M. Lindström (2 shared papers)Jeremy Sokolove (2 shared papers)Cynthia A. Leifer (2 shared papers)Annapoorani Chockalingam (2 shared papers)
- Journals
- Arthritis & Rheumatology (3 papers)Journal of Clinical Oncology (3 papers)The Journal of Immunology (2 papers)Clinical Immunology (2 papers)European Journal of Immunology (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Chia‐Hsin Ju
15 papers receiving 525 citations
Peers
Comparison fields: 5 of 72
- Immunology 253
- Rheumatology 122
- Parasitology 34
- Radiology, Nuclear Medicine and Imaging 99
- Immunology and Allergy 17
Countries citing papers authored by Chia‐Hsin Ju
This map shows the geographic impact of Chia‐Hsin Ju'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 Chia‐Hsin Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Hsin Ju more than expected).
Fields of papers citing papers by Chia‐Hsin Ju
This network shows the impact of papers produced by Chia‐Hsin Ju. 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 Chia‐Hsin Ju. The network helps show where Chia‐Hsin Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Hsin Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 85 | |
| 2 | 2014 | 84 | |
| 3 | 2018 | 74 | |
| 4 | 2018 | 61 | |
| 5 | 2019 | 46 | |
| 6 | 2009 | 37 | |
| 7 | 2015 | 33 | |
| 8 | 2018 | 31 | |
| 9 | 2011 | 24 | |
| 10 | 2024 | 24 | |
| 11 | 2018 | 16 | |
| 12 | 2023 | 8 | |
| 13 | 2006 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2019 | 1 |
About Chia‐Hsin Ju
Chia‐Hsin Ju is a scholar working on Immunology, Oncology, Epidemiology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 533 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Lung Cancer Research Studies (3 papers), Diabetes and associated disorders (2 papers), Cancer therapeutics and mechanisms (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Influenza Virus Research Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (253 citations), Rheumatology (122 citations), Parasitology (34 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Immunology and Allergy (17 citations). Chia‐Hsin Ju has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include William H. Robinson, Sarah Kongpachith, Lisa K. Blum, Daniel Lu, Tamsin M. Lindström, Jeremy Sokolove, Cynthia A. Leifer, Annapoorani Chockalingam, Nithya Lingampalli and Lauren J. Lahey. Their work appears in journals such as Arthritis & Rheumatology, Journal of Clinical Oncology, The Journal of Immunology, Clinical Immunology and European Journal of Immunology.
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.