Daniel Heudobler
Impact in
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- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
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- Acute Myeloid Leukemia Research
Papers in
- Oncology 21
- CAR-T cell therapy research 9
- Cancer Immunotherapy and Biomarkers 6
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- Protein Degradation and Inhibitors 3
- Retinoids in leukemia and cellular processes 3
- Co-authors
- Albrecht Reichle (23 shared papers)Wolfgang Herr (19 shared papers)Florian Lüke (22 shared papers)Tobias Pukrop (17 shared papers)Christopher Gerner (6 shared papers)Martin Vogelhuber (13 shared papers)Lina Ghibelli (7 shared papers)Sebastian Klobuch (9 shared papers)
- Journals
- Frontiers in Oncology (9 papers)Frontiers in Pharmacology (7 papers)Annals of Oncology (6 papers)Journal of Clinical Oncology (4 papers)Blood (4 papers)
- Partner nations
- GermanyItalyNetherlands
In The Last Decade
Daniel Heudobler
41 papers receiving 426 citations
Peers
Comparison fields: 5 of 72
- Oncology 185
- Hematology 67
- Immunology 70
- Cancer Research 47
- Nephrology 22
Countries citing papers authored by Daniel Heudobler
This map shows the geographic impact of Daniel Heudobler'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 Daniel Heudobler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Heudobler more than expected).
Fields of papers citing papers by Daniel Heudobler
This network shows the impact of papers produced by Daniel Heudobler. 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 Daniel Heudobler. The network helps show where Daniel Heudobler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Heudobler, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2018 | 43 | |
| 3 | 2007 | 42 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 6 |
About Daniel Heudobler
Daniel Heudobler is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Genetics, having authored 45 papers that have together received 426 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Acute Myeloid Leukemia Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Protein Degradation and Inhibitors (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Oncology (185 citations), Hematology (67 citations), Immunology (70 citations), Cancer Research (47 citations) and Nephrology (22 citations). Daniel Heudobler has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Albrecht Reichle, Wolfgang Herr, Florian Lüke, Tobias Pukrop, Christopher Gerner, Martin Vogelhuber, Lina Ghibelli, Sebastian Klobuch, Dennis Christoph Harrer and Simone Thomas. Their work appears in journals such as Frontiers in Oncology, Frontiers in Pharmacology, Annals of Oncology, Journal of Clinical Oncology and Blood.
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.