Jooeun E. 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
- Hematology 19
- Multiple Myeloma Research and Treatments 18
- Immunology 24
- Immunotherapy and Immune Responses 17
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Co-authors
- Kenneth Carl Anderson (22 shared papers)Nikhil C. Munshi (22 shared papers)Yu‐Tzu Tai (9 shared papers)Paul Gerard Guy Richardson (7 shared papers)Teru Hideshima (8 shared papers)John F. Daley (5 shared papers)RAO H. PRABHALA (7 shared papers)Dharminder Chauhan (6 shared papers)
- Journals
- Blood (8 papers)Leukemia (5 papers)Clinical Cancer Research (3 papers)Veterinary Microbiology (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Jooeun E. Bae
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Hematology 490
- Immunology 570
- Oncology 457
- Molecular Biology 512
- Genetics 34
Countries citing papers authored by Jooeun E. Bae
This map shows the geographic impact of Jooeun E. 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 E. 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 E. Bae more than expected).
Fields of papers citing papers by Jooeun E. Bae
This network shows the impact of papers produced by Jooeun E. 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 E. Bae. The network helps show where Jooeun E. Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Jooeun E. 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 214 | |
| 2 | 2005 | 141 | |
| 3 | 2018 | 108 | |
| 4 | 2018 | 73 | |
| 5 | 2012 | 65 | |
| 6 | 2013 | 64 | |
| 7 | 2021 | 61 | |
| 8 | 2020 | 51 | |
| 9 | 2019 | 49 | |
| 10 | 2012 | 39 | |
| 11 | 2007 | 38 | |
| 12 | 2004 | 32 | |
| 13 | 2011 | 29 | |
| 14 | 2014 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2002 | 20 | |
| 17 | 2005 | 19 | |
| 18 | 2004 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2004 | 11 |
About Jooeun E. Bae
Jooeun E. Bae is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Rehabilitation, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Heat shock proteins research (4 papers), CAR-T cell therapy research (3 papers), Protein Degradation and Inhibitors (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (490 citations), Immunology (570 citations), Oncology (457 citations), Molecular Biology (512 citations) and Genetics (34 citations). Jooeun E. Bae has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Kenneth Carl Anderson, Nikhil C. Munshi, Yu‐Tzu Tai, Paul Gerard Guy Richardson, Teru Hideshima, John F. Daley, RAO H. PRABHALA, Dharminder Chauhan, Hans Klingemann and Noopur S. Raje. Their work appears in journals such as Blood, Leukemia, Clinical Cancer Research, Veterinary Microbiology and British Journal of Haematology.
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.