Philipp Baumann
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 14
- Multiple Myeloma Research and Treatments 11
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- Ubiquitin and proteasome pathways 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Ralf Schmidmaier (20 shared papers)Bertold Emmerich (7 shared papers)Sonja Mandl–Weber (10 shared papers)Gerold Meinhardt (3 shared papers)Christian Straka (5 shared papers)Fuat Oduncu (8 shared papers)Farshid Dayyani (1 shared paper)Irmgard Bumeder (3 shared papers)
- Journals
- PLoS ONE (3 papers)Blood (3 papers)British Journal of Haematology (3 papers)Human Brain Mapping (2 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- SwitzerlandGermanyAustralia
In The Last Decade
Philipp Baumann
46 papers receiving 980 citations
Peers
Comparison fields: 5 of 87
- Hematology 203
- Oncology 207
- Cancer Research 108
- Applied Microbiology and Biotechnology 14
- Immunology and Allergy 42
Countries citing papers authored by Philipp Baumann
This map shows the geographic impact of Philipp Baumann'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 Philipp Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Baumann more than expected).
Fields of papers citing papers by Philipp Baumann
This network shows the impact of papers produced by Philipp Baumann. 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 Philipp Baumann. The network helps show where Philipp Baumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Baumann, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 102 | |
| 2 | 2008 | 87 | |
| 3 | 2013 | 74 | |
| 4 | 2014 | 68 | |
| 5 | 2010 | 61 | |
| 6 | 2007 | 59 | |
| 7 | 2006 | 53 | |
| 8 | 2014 | 44 | |
| 9 | 2007 | 44 | |
| 10 | 2007 | 34 | |
| 11 | 2015 | 34 | |
| 12 | 2012 | 33 | |
| 13 | 2020 | 23 | |
| 14 | 2009 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2012 | 18 | |
| 17 | 2014 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2010 | 15 |
About Philipp Baumann
Philipp Baumann is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Respiratory Support and Mechanisms (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Neonatal Respiratory Health Research (4 papers), Ubiquitin and proteasome pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Hematology (203 citations), Oncology (207 citations), Cancer Research (108 citations), Applied Microbiology and Biotechnology (14 citations) and Immunology and Allergy (42 citations). Philipp Baumann has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Ralf Schmidmaier, Bertold Emmerich, Sonja Mandl–Weber, Gerold Meinhardt, Christian Straka, Fuat Oduncu, Farshid Dayyani, Irmgard Bumeder, Philippe Conus and Kim Q.. Their work appears in journals such as PLoS ONE, Blood, British Journal of Haematology, Human Brain Mapping and Anti-Cancer Drugs.
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.