Philipp Berning
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
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- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
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- Lymphoma Diagnosis and Treatment 13
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- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Georg Lenz (7 shared papers)Wendan Xu (2 shared papers)Omar Dildar a Dzaye (10 shared papers)Michael Joseph Blaha (8 shared papers)Martin Bødtker Mortensen (5 shared papers)Uta Dirksen (4 shared papers)Christiane Schaefer (4 shared papers)Eberhard Korsching (3 shared papers)
- Journals
- Blood (3 papers)Bone Marrow Transplantation (3 papers)Leukemia (2 papers)Nature Communications (2 papers)Annals of Hematology (2 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Philipp Berning
30 papers receiving 547 citations
Peers
Comparison fields: 5 of 66
- Pathology and Forensic Medicine 147
- Cancer Research 87
- Oncology 154
- Genetics 48
- Pulmonary and Respiratory Medicine 129
Countries citing papers authored by Philipp Berning
This map shows the geographic impact of Philipp Berning'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 Berning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Berning more than expected).
Fields of papers citing papers by Philipp Berning
This network shows the impact of papers produced by Philipp Berning. 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 Berning. The network helps show where Philipp Berning may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Berning, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2021 | 57 | |
| 3 | 2015 | 40 | |
| 4 | 2022 | 38 | |
| 5 | 2021 | 37 | |
| 6 | 2018 | 27 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2021 | 5 |
About Philipp Berning
Philipp Berning is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Genetics and Immunology, having authored 33 papers that have together received 550 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (5 papers), Data-Driven Disease Surveillance (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (147 citations), Cancer Research (87 citations), Oncology (154 citations), Genetics (48 citations) and Pulmonary and Respiratory Medicine (129 citations). Philipp Berning has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Georg Lenz, Wendan Xu, Omar Dildar a Dzaye, Michael Joseph Blaha, Martin Bødtker Mortensen, Uta Dirksen, Christiane Schaefer, Eberhard Korsching, Jenny C. Potratz and Seamus Paul Whelton. Their work appears in journals such as Blood, Bone Marrow Transplantation, Leukemia, Nature Communications and Annals of Hematology.
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.