Eugen Leo
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 17
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 5
- Co-authors
- John C. Reed (6 shared papers)Ralf C. Bargou (8 shared papers)Patrick A. Baeuerle (4 shared papers)Peter Kufer (5 shared papers)Hermann Einsele (4 shared papers)Christian Brandl (2 shared papers)Richard Noppeney (2 shared papers)Andreas Viardot (3 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Blood (7 papers)Journal of Biological Chemistry (4 papers)Annals of Oncology (3 papers)Cancer Research (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Eugen Leo
39 papers receiving 1.8k citations
Eugen Leo's Hit Papers
Peers
Comparison fields: 5 of 76
- Hematology 359
- Immunology 658
- Oncology 720
- Cancer Research 304
- Radiology, Nuclear Medicine and Imaging 428
Countries citing papers authored by Eugen Leo
This map shows the geographic impact of Eugen Leo'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 Eugen Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugen Leo more than expected).
Fields of papers citing papers by Eugen Leo
This network shows the impact of papers produced by Eugen Leo. 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 Eugen Leo. The network helps show where Eugen Leo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugen Leo, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor Regression in Cancer Patients by Very Low Doses of a T Cell–Engaging Antibody Hit paper breakdown → | 2008 | 808 |
| 2 | 1999 | 159 | |
| 3 | 2012 | 128 | |
| 4 | 2000 | 115 | |
| 5 | 2012 | 104 | |
| 6 | 1999 | 88 | |
| 7 | 2005 | 79 | |
| 8 | 2001 | 64 | |
| 9 | 2017 | 58 | |
| 10 | 2010 | 52 | |
| 11 | 2000 | 48 | |
| 12 | 2006 | 38 | |
| 13 | 2005 | 38 | |
| 14 | 1999 | 20 | |
| 15 | 1997 | 14 | |
| 16 | 2006 | 12 | |
| 17 | 2004 | 10 | |
| 18 | 2015 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2016 | 6 |
About Eugen Leo
Eugen Leo is a scholar working on Oncology, Molecular Biology, Immunology, Rheumatology and Genetics, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), NF-κB Signaling Pathways (6 papers), CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Macrophage Migration Inhibitory Factor (4 papers). The work is most often cited by research in Hematology (359 citations), Immunology (658 citations), Oncology (720 citations), Cancer Research (304 citations) and Radiology, Nuclear Medicine and Imaging (428 citations). Eugen Leo has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include John C. Reed, Ralf C. Bargou, Patrick A. Baeuerle, Peter Kufer, Hermann Einsele, Christian Brandl, Richard Noppeney, Andreas Viardot, Mariele Goebeler and Gerhard Zugmaier. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Biological Chemistry, Annals of Oncology and Cancer Research.
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.