Jonas Ungerbäck
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Immunology 15
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
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- Genomics and Chromatin Dynamics 4
- Co-authors
- Mikael Sigvardsson (18 shared papers)Ellen V. Rothenberg (5 shared papers)Hiroyuki Hosokawa (4 shared papers)Rajesh Somasundaram (9 shared papers)Peter Söderkvist (8 shared papers)Nils Elander (5 shared papers)Tobias Strid (10 shared papers)Xun Wang (3 shared papers)
- Journals
- Blood (4 papers)Immunity (2 papers)The Journal of Experimental Medicine (2 papers)The Journal of Immunology (2 papers)Molecular Carcinogenesis (1 paper)
- Partner nations
- SwedenUnited StatesJapan
In The Last Decade
Jonas Ungerbäck
30 papers receiving 974 citations
Peers
Comparison fields: 5 of 78
- Immunology 426
- Hematology 135
- Cancer Research 129
- Molecular Biology 534
- Oncology 209
Countries citing papers authored by Jonas Ungerbäck
This map shows the geographic impact of Jonas Ungerbäck'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 Jonas Ungerbäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Ungerbäck more than expected).
Fields of papers citing papers by Jonas Ungerbäck
This network shows the impact of papers produced by Jonas Ungerbäck. 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 Jonas Ungerbäck. The network helps show where Jonas Ungerbäck may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Ungerbäck, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 122 | |
| 2 | 2015 | 90 | |
| 3 | 2018 | 83 | |
| 4 | 2018 | 80 | |
| 5 | 2018 | 58 | |
| 6 | 2019 | 58 | |
| 7 | 2011 | 56 | |
| 8 | 2015 | 47 | |
| 9 | 2020 | 38 | |
| 10 | 2022 | 37 | |
| 11 | 2008 | 36 | |
| 12 | 2019 | 33 | |
| 13 | 2015 | 29 | |
| 14 | 2013 | 29 | |
| 15 | 2015 | 28 | |
| 16 | 2021 | 28 | |
| 17 | 2018 | 22 | |
| 18 | 2013 | 19 | |
| 19 | 2019 | 16 | |
| 20 | 2016 | 14 |
About Jonas Ungerbäck
Jonas Ungerbäck is a scholar working on Immunology, Molecular Biology, Hematology, Public Health, Environmental and Occupational Health and Oncology, having authored 30 papers that have together received 978 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (7 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (426 citations), Hematology (135 citations), Cancer Research (129 citations), Molecular Biology (534 citations) and Oncology (209 citations). Jonas Ungerbäck has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Mikael Sigvardsson, Ellen V. Rothenberg, Hiroyuki Hosokawa, Rajesh Somasundaram, Peter Söderkvist, Nils Elander, Tobias Strid, Xun Wang, Mats Fredrikson and Masaki Matsumoto. Their work appears in journals such as Blood, Immunity, The Journal of Experimental Medicine, The Journal of Immunology and Molecular Carcinogenesis.
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.