Johan Baeck
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 9
- Cancer Treatment and Pharmacology 4
- Cancer Immunotherapy and Biomarkers 3
- HER2/EGFR in Cancer Research 2
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- Advanced Breast Cancer Therapies 4
- Co-authors
- John Rediske (2 shared papers)Sanela Bilic (2 shared papers)Brett Ewald (3 shared papers)Jyotirmoy Dey (2 shared papers)Jennifer Bendiske (2 shared papers)Sundar Jagannath (1 shared paper)Thomas J. Kipps (1 shared paper)William Bensinger (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)British Journal of Haematology (2 papers)Blood (2 papers)Cancer Management and Research (1 paper)Breast Cancer Targets and Therapy (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Johan Baeck
14 papers receiving 282 citations
Peers
Comparison fields: 5 of 36
- Immunology 151
- Oncology 158
- Genetics 61
- Hematology 49
- Pathology and Forensic Medicine 72
Countries citing papers authored by Johan Baeck
This map shows the geographic impact of Johan Baeck'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 Johan Baeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Baeck more than expected).
Fields of papers citing papers by Johan Baeck
This network shows the impact of papers produced by Johan Baeck. 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 Johan Baeck. The network helps show where Johan Baeck may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Baeck, 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 | 90 | |
| 2 | 2012 | 89 | |
| 3 | 2013 | 58 | |
| 4 | 2018 | 12 | |
| 5 | 2010 | 11 | |
| 6 | 2020 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2013 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2018 | 1 |
About Johan Baeck
Johan Baeck is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Advanced Breast Cancer Therapies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Breast Cancer Treatment Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Immunology (151 citations), Oncology (158 citations), Genetics (61 citations), Hematology (49 citations) and Pathology and Forensic Medicine (72 citations). Johan Baeck has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John Rediske, Sanela Bilic, Brett Ewald, Jyotirmoy Dey, Jennifer Bendiske, Sundar Jagannath, Thomas J. Kipps, William Bensinger, John C. Byrd and Andrew Spencer. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, Blood, Cancer Management and Research and Breast Cancer Targets and Therapy.
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.