Joan Glick Bieler
- Immunology top 2%
- Immunotherapy and Immune Responses 15
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 11
- Oncology top 5%
- CAR-T cell therapy research 10
- Biomaterials top 10%
- Biotechnology top 10%
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- Monoclonal and Polyclonal Antibodies Research 4
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- Advanced biosensing and bioanalysis techniques 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Influenza Virus Research Studies 1
- Co-authors
- Jonathan P. SchneckMichael EdidinTarek M. FahmyKarlo PericaAnne RichterAng A. TuBrian H. LadleElizabeth M. Jaffee
- Cited by
- ImmunologyOncologyBiomaterials
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)The Journal of Experimental Medicine (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Joan Glick Bieler
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Immunology 1.1k
- Oncology 645
- Biomaterials 104
- Biological Psychiatry 17
- Biotechnology 57
Countries citing papers authored by Joan Glick Bieler
This map shows the geographic impact of Joan Glick Bieler'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 Joan Glick Bieler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Glick Bieler more than expected).
Fields of papers citing papers by Joan Glick Bieler
This network shows the impact of papers produced by Joan Glick Bieler. 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 Joan Glick Bieler. The network helps show where Joan Glick Bieler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joan Glick Bieler, 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 | 2022 | 10 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 25 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 125 | |
| 6 | 2014 | 201 | |
| 7 | 2014 | 2 | |
| 8 | 2013 | 119 | |
| 9 | 2013 | 2 | |
| 10 | 2012 | 8 | |
| 11 | 2011 | 19 | |
| 12 | 2009 | 16 | |
| 13 | 2009 | 26 | |
| 14 | 2009 | 1 | |
| 15 | 2005 | 1 | |
| 16 | 2005 | 317 | |
| 17 | 2002 | 30 | |
| 18 | 2001 | 66 | |
| 19 | Increased TCR avidity after T cell activation: a mechanism for sensing low-density antigen. | 2001 | 197 |
| 20 | 1999 | 43 |
About Joan Glick Bieler
Joan Glick Bieler is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Immunology (1.1k citations), Oncology (645 citations) and Biomaterials (104 citations). Joan Glick Bieler has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jonathan P. Schneck, Michael Edidin, Tarek M. Fahmy, Karlo Perica, Anne Richter, Ang A. Tu, Brian H. Ladle, Elizabeth M. Jaffee, Anne M. Ercolini and R. Todd Reilly. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.
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.