Chia‐Hsin Ju
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 2
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- William H. Robinson (8 shared papers)Sarah Kongpachith (6 shared papers)Lisa K. Blum (6 shared papers)Daniel Lu (3 shared papers)Jeremy Sokolove (2 shared papers)Tamsin M. Lindström (2 shared papers)Cynthia A. Leifer (2 shared papers)Annapoorani Chockalingam (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Arthritis & Rheumatology (3 papers)The Journal of Immunology (2 papers)Clinical Immunology (2 papers)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Chia‐Hsin Ju
15 papers receiving 500 citations
Peers
Comparison fields: 5 of 74
- Immunology 265
- Rheumatology 128
- Parasitology 34
- Radiology, Nuclear Medicine and Imaging 119
- Immunology and Allergy 18
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 | 83 | |
| 2 | 2014 | 81 | |
| 3 | 2018 | 72 | |
| 4 | 2018 | 59 | |
| 5 | 2019 | 44 | |
| 6 | 2009 | 37 | |
| 7 | 2015 | 32 | |
| 8 | 2018 | 28 | |
| 9 | 2011 | 23 | |
| 10 | 2024 | 21 | |
| 11 | 2018 | 15 | |
| 12 | 2006 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2019 | 1 |
About Chia‐Hsin Ju
Chia‐Hsin Ju is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Rheumatology, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers), Systemic Lupus Erythematosus Research (3 papers), Lung Cancer Research Studies (3 papers), Cancer therapeutics and mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (265 citations), Rheumatology (128 citations), Parasitology (34 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Immunology and Allergy (18 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, Jeremy Sokolove, Tamsin M. Lindström, Cynthia A. Leifer, Annapoorani Chockalingam, Nithya Lingampalli and Raphaël Gottardo. Their work appears in journals such as Journal of Clinical Oncology, Arthritis & Rheumatology, The Journal of Immunology, Clinical Immunology and Journal of Thoracic Oncology.
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.