Andreas Hüttmann
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in ⓘ
-
- Lymphoma Diagnosis and Treatment 39
- Genetics 15
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Ulrich Dührsen (39 shared papers)Jan Dürig (12 shared papers)Andy Boyd (3 shared papers)Albrecht Reichle (5 shared papers)Dieter Hoelzer (5 shared papers)U Schmücker (1 shared paper)Nicola Gökbuget (4 shared papers)K. Renzing‐Köhler (1 shared paper)
- Journals
- Blood (21 papers)Leukemia (4 papers)British Journal of Haematology (3 papers)Blood Advances (2 papers)Cancers (2 papers)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Andreas Hüttmann
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Genetics 449
- Hematology 467
- Pathology and Forensic Medicine 600
- Oncology 523
- Physiology 71
Countries citing papers authored by Andreas Hüttmann
This map shows the geographic impact of Andreas Hüttmann'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 Andreas Hüttmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hüttmann more than expected).
Fields of papers citing papers by Andreas Hüttmann
This network shows the impact of papers produced by Andreas Hüttmann. 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 Andreas Hüttmann. The network helps show where Andreas Hüttmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Hüttmann, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 321 | |
| 2 | 2002 | 173 | |
| 3 | 2011 | 126 | |
| 4 | 2022 | 78 | |
| 5 | 2018 | 75 | |
| 6 | 1999 | 72 | |
| 7 | 2003 | 70 | |
| 8 | 2006 | 69 | |
| 9 | 2019 | 64 | |
| 10 | 2011 | 52 | |
| 11 | 2001 | 48 | |
| 12 | 2006 | 43 | |
| 13 | 2022 | 43 | |
| 14 | 2012 | 41 | |
| 15 | 2005 | 39 | |
| 16 | 2017 | 35 | |
| 17 | 2009 | 32 | |
| 18 | 2013 | 28 | |
| 19 | 1998 | 27 | |
| 20 | 2020 | 25 |
About Andreas Hüttmann
Andreas Hüttmann is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (39 papers), Chronic Lymphocytic Leukemia Research (13 papers), Medical Imaging Techniques and Applications (12 papers), Lung Cancer Treatments and Mutations (10 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), CAR-T cell therapy research (8 papers), Acute Lymphoblastic Leukemia research (6 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Genetics (449 citations), Hematology (467 citations), Pathology and Forensic Medicine (600 citations), Oncology (523 citations) and Physiology (71 citations). Andreas Hüttmann has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Ulrich Dührsen, Jan Dürig, Andy Boyd, Albrecht Reichle, Dieter Hoelzer, U Schmücker, Nicola Gökbuget, K. Renzing‐Köhler, Andreas Viardot and Hubert Serve. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Blood Advances and Cancers.
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.