Shyr‐Te Ju
- Immunology top 1%
- T-cell and B-cell Immunology 30
- Immune Cell Function and Interaction 25
- Immunotherapy and Immune Responses 12
- Immune Response and Inflammation 8
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 6
- Cancer Research top 5%
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- Monoclonal and Polyclonal Antibodies Research 18
- Nephrology top 5%
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- Cell death mechanisms and regulation 13
- RNA Interference and Gene Delivery 6
- Co-authors
- Shu Man FuAnn Marshak‐RothsteinRahul SharmaSun‐Sang J. SungAlfred NisonoffFelicia GaskinKen MatsuiCharles E. Rose
- Journals
- The Journal of Immunology (23 papers)European Journal of Immunology (8 papers)Cellular Immunology (7 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Shyr‐Te Ju
75 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 104
- Immunology 2.0k
- Immunology and Allergy 152
- Cancer Research 315
- Radiology, Nuclear Medicine and Imaging 459
- Nephrology 124
Countries citing papers authored by Shyr‐Te Ju
This map shows the geographic impact of Shyr‐Te 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 Shyr‐Te Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyr‐Te Ju more than expected).
Fields of papers citing papers by Shyr‐Te Ju
This network shows the impact of papers produced by Shyr‐Te 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 Shyr‐Te Ju. The network helps show where Shyr‐Te Ju may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shyr‐Te 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 | 2012 | 18 | |
| 2 | 2011 | 9 | |
| 3 | 2009 | 19 | |
| 4 | 2009 | 21 | |
| 5 | 2007 | 33 | |
| 6 | 2007 | 34 | |
| 7 | 2006 | 397 | |
| 8 | 2005 | 12 | |
| 9 | 2005 | 26 | |
| 10 | 2004 | 9 | |
| 11 | 2001 | 134 | |
| 12 | 2001 | 52 | |
| 13 | 2000 | 26 | |
| 14 | 2000 | 33 | |
| 15 | 2000 | 14 | |
| 16 | 1999 | 50 | |
| 17 | 1999 | 4 | |
| 18 | 1999 | 50 | |
| 19 | Idiotypic analysis of anti-GAT antibodies. VI. Identification and strain distribution of the GA-1 idiotype. | 1979 | 14 |
| 20 | Idiotypic analysis of anti-GAT antibodies. I. Presence of common idiotypic specificities in both responder and nonresponder mice. | 1978 | 54 |
About Shyr‐Te Ju
Shyr‐Te Ju is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (25 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Cell death mechanisms and regulation (13 papers), Immunotherapy and Immune Responses (12 papers), Immune Response and Inflammation (8 papers), RNA Interference and Gene Delivery (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Immunology (2.0k citations), Immunology and Allergy (152 citations) and Cancer Research (315 citations). Shyr‐Te Ju has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Shu Man Fu, Ann Marshak‐Rothstein, Rahul Sharma, Sun‐Sang J. Sung, Alfred Nisonoff, Felicia Gaskin, Ken Matsui, Charles E. Rose, Steven R. Beaty and Martin E. Dorf. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Cellular Immunology, Journal of Autoimmunity and Journal of Biological Chemistry.
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.