Jooeun Bae
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 26
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Hematology 20
- Multiple Myeloma Research and Treatments 19
- Co-authors
- Kenneth C. Anderson (28 shared papers)Nikhil C. Munshi (27 shared papers)Yu‐Tzu Tai (12 shared papers)Paul G. Richardson (7 shared papers)Teru Hideshima (11 shared papers)John Daley (6 shared papers)Dharminder Chauhan (7 shared papers)Rao Prabhala (6 shared papers)
- Journals
- Blood (10 papers)Leukemia (5 papers)Journal of Clinical Oncology (3 papers)Clinical Cancer Research (3 papers)Veterinary Microbiology (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Jooeun Bae
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Hematology 455
- Immunology 541
- Oncology 427
- Molecular Biology 477
- Genetics 32
Countries citing papers authored by Jooeun Bae
This map shows the geographic impact of Jooeun Bae'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 Jooeun Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jooeun Bae more than expected).
Fields of papers citing papers by Jooeun Bae
This network shows the impact of papers produced by Jooeun Bae. 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 Jooeun Bae. The network helps show where Jooeun Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Jooeun Bae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 200 | |
| 2 | 2005 | 133 | |
| 3 | 2018 | 105 | |
| 4 | 2018 | 63 | |
| 5 | 2012 | 61 | |
| 6 | 2013 | 57 | |
| 7 | 2021 | 55 | |
| 8 | 2020 | 48 | |
| 9 | 2019 | 46 | |
| 10 | 2012 | 37 | |
| 11 | 2007 | 35 | |
| 12 | 2004 | 29 | |
| 13 | 2011 | 27 | |
| 14 | 2014 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2002 | 19 | |
| 17 | 2005 | 19 | |
| 18 | 2004 | 14 | |
| 19 | 2018 | 12 | |
| 20 | 2014 | 11 |
About Jooeun Bae
Jooeun Bae is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), Multiple Myeloma Research and Treatments (19 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Glycosylation and Glycoproteins Research (4 papers), Heat shock proteins research (4 papers), CAR-T cell therapy research (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (455 citations), Immunology (541 citations), Oncology (427 citations), Molecular Biology (477 citations) and Genetics (32 citations). Jooeun Bae has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Kenneth C. Anderson, Nikhil C. Munshi, Yu‐Tzu Tai, Paul G. Richardson, Teru Hideshima, John Daley, Dharminder Chauhan, Rao Prabhala, Hans Klingemann and Noopur Raje. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, Clinical Cancer Research and Veterinary Microbiology.
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.