Achim A. Jungbluth
- Immunology top 0.05%
- Immunotherapy and Immune Responses 122
- Immune Cell Function and Interaction 24
- Oncology top 0.05%
- CAR-T cell therapy research 29
- Cancer Immunotherapy and Biomarkers 28
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 37
- Glycosylation and Glycoproteins Research 32
- vaccines and immunoinformatics approaches 24
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
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- Monoclonal and Polyclonal Antibodies Research 45
- Co-authors
- Lloyd J. OldYao‐Tseng ChenKlaus J. BusamSacha GnjaticGerd RitterDenise FrosinaElisabeth StockertAndrew J.G. Simpson
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Science (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Achim A. Jungbluth
282 papers receiving 20.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 9.9k
- Oncology 10.1k
- Molecular Biology 7.8k
- Cancer Research 1.7k
- Pulmonary and Respiratory Medicine 3.6k
Countries citing papers authored by Achim A. Jungbluth
This map shows the geographic impact of Achim A. Jungbluth'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 Achim A. Jungbluth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Achim A. Jungbluth more than expected).
Fields of papers citing papers by Achim A. Jungbluth
This network shows the impact of papers produced by Achim A. Jungbluth. 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 Achim A. Jungbluth. The network helps show where Achim A. Jungbluth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Achim A. Jungbluth, 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 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 67 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 50 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 98 | |
| 12 | 2018 | 171 | |
| 13 | 2018 | 245 | |
| 14 | 2017 | 34 | |
| 15 | 2017 | 12 | |
| 16 | 2013 | 52 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 79 | |
| 19 | 2008 | 71 | |
| 20 | 2006 | 75 |
About Achim A. Jungbluth
Achim A. Jungbluth is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 285 papers that have together received 20.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (122 papers), Monoclonal and Polyclonal Antibodies Research (45 papers), RNA Interference and Gene Delivery (37 papers), Glycosylation and Glycoproteins Research (32 papers), CAR-T cell therapy research (29 papers), Cancer Immunotherapy and Biomarkers (28 papers), Immune Cell Function and Interaction (24 papers) and vaccines and immunoinformatics approaches (24 papers). The work is most often cited by research in Immunology (9.9k citations), Oncology (10.1k citations) and Molecular Biology (7.8k citations). Achim A. Jungbluth has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lloyd J. Old, Yao‐Tseng Chen, Klaus J. Busam, Sacha Gnjatic, Gerd Ritter, Denise Frosina, Elisabeth Stockert, Andrew J.G. Simpson, Otávia L. Caballero and Kristin Iversen. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.