Matthias Theobald
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation 26
- Acute Myeloid Leukemia Research 21
- Immunology top 1%
- Immune Cell Function and Interaction 40
- Immunotherapy and Immune Responses 35
- T-cell and B-cell Immunology 26
- Oncology top 1%
- CAR-T cell therapy research 33
- Cancer Immunotherapy and Biomarkers 11
- Genetics top 2%
- Molecular Biology top 5%
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- Lymphoma Diagnosis and Treatment 12
- Co-authors
- Linda A. ShermanBob LöwenbergJ BiggsJürgen KuballChristoph HuberLeo F. VerdonckHarry C. SchoutenDonald Bunjes
- Cited by
- HematologyImmunologyOncology
- Journals
- New England Journal of Medicine (3 papers)Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (4 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Matthias Theobald
141 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 2.4k
- Immunology 2.4k
- Oncology 2.2k
- Genetics 534
- Molecular Biology 1.7k
Countries citing papers authored by Matthias Theobald
This map shows the geographic impact of Matthias Theobald'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 Matthias Theobald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Theobald more than expected).
Fields of papers citing papers by Matthias Theobald
This network shows the impact of papers produced by Matthias Theobald. 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 Matthias Theobald. The network helps show where Matthias Theobald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Theobald, 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 | 2022 | 16 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 0 | |
| 8 | 2011 | 53 | |
| 9 | 2009 | 111 | |
| 10 | 2008 | 50 | |
| 11 | 2008 | 70 | |
| 12 | 2007 | 345 | |
| 13 | 2006 | 19 | |
| 14 | 2005 | 12 | |
| 15 | 2003 | 14 | |
| 16 | 2002 | 28 | |
| 17 | 1998 | 23 | |
| 18 | 1997 | 91 | |
| 19 | 1994 | 50 | |
| 20 | 1992 | 132 |
About Matthias Theobald
Matthias Theobald is a scholar working on Hematology, Immunology and Oncology, having authored 145 papers that have together received 5.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), Immunotherapy and Immune Responses (35 papers), CAR-T cell therapy research (33 papers), Hematopoietic Stem Cell Transplantation (26 papers), T-cell and B-cell Immunology (26 papers), Acute Myeloid Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (12 papers) and Cancer Immunotherapy and Biomarkers (11 papers). The work is most often cited by research in Hematology (2.4k citations), Immunology (2.4k citations) and Oncology (2.2k citations). Matthias Theobald has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Linda A. Sherman, Bob Löwenberg, J Biggs, Jürgen Kuball, Christoph Huber, Leo F. Verdonck, Harry C. Schouten, Donald Bunjes, Augustin Ferrant and Aloïs Gratwohl. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.