Philipp Schütt
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Multiple Myeloma Research and Treatments 5
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Bertram Opalka (6 shared papers)Mohammad Resa Nowrousian (7 shared papers)Dieter Brandhorst (5 shared papers)Peter Robert Ebeling (8 shared papers)S. Seeber (7 shared papers)Hans Grosse‐Wilde (3 shared papers)Vera Rebmann (3 shared papers)Ulrike Buttkereit (3 shared papers)
- Journals
- European Journal Of Haematology (2 papers)Human Immunology (2 papers)Lung Cancer (1 paper)Nature Communications (1 paper)Haematologica (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Philipp Schütt
19 papers receiving 643 citations
Peers
Comparison fields: 5 of 45
- Hematology 151
- Genetics 62
- Internal Medicine 19
- Immunology 118
- Oncology 120
Countries citing papers authored by Philipp Schütt
This map shows the geographic impact of Philipp Schütt'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 Schütt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Schütt more than expected).
Fields of papers citing papers by Philipp Schütt
This network shows the impact of papers produced by Philipp Schütt. 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 Schütt. The network helps show where Philipp Schütt may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Schütt, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 105 | |
| 2 | 2007 | 80 | |
| 3 | 2010 | 61 | |
| 4 | 2020 | 59 | |
| 5 | 2007 | 55 | |
| 6 | 2010 | 48 | |
| 7 | 2004 | 42 | |
| 8 | 2005 | 36 | |
| 9 | 2024 | 31 | |
| 10 | 2005 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2023 | 24 | |
| 13 | 2006 | 20 | |
| 14 | 2008 | 15 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2011 | 1 | |
| 20 | 2007 | 0 |
About Philipp Schütt
Philipp Schütt is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 21 papers that have together received 653 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Brain Metastases and Treatment (2 papers), Lung Cancer Treatments and Mutations (1 paper), Antifungal resistance and susceptibility (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hematology (151 citations), Genetics (62 citations), Internal Medicine (19 citations), Immunology (118 citations) and Oncology (120 citations). Philipp Schütt has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Bertram Opalka, Mohammad Resa Nowrousian, Dieter Brandhorst, Peter Robert Ebeling, S. Seeber, Hans Grosse‐Wilde, Vera Rebmann, Ulrike Buttkereit, Michael Flaßhove and Monika Lindemann. Their work appears in journals such as European Journal Of Haematology, Human Immunology, Lung Cancer, Nature Communications and Haematologica.
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.