Peter Ellinghaus
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 2%
Papers in ⓘ
-
- Cancer, Hypoxia, and Metabolism 14
- Cancer, Lipids, and Metabolism 5
- Rheumatology 11
- Eosinophilic Disorders and Syndromes 11
- Co-authors
- Udo Seedorf (10 shared papers)Gerd Assmann (7 shared papers)Ingo Flamme (4 shared papers)Friedrich Spener (5 shared papers)Christian Wolfrum (5 shared papers)Khusru Asadullah (2 shared papers)Anette Sommer (2 shared papers)Isabella Gashaw (2 shared papers)
- Journals
- Cancer Research (10 papers)Journal of Clinical Oncology (8 papers)Annals of Oncology (4 papers)Journal of Biological Chemistry (3 papers)Physiological Genomics (3 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Peter Ellinghaus
72 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 544
- Biochemistry 199
- Clinical Biochemistry 170
- Molecular Biology 1.6k
- Hematology 245
Countries citing papers authored by Peter Ellinghaus
This map shows the geographic impact of Peter Ellinghaus'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 Peter Ellinghaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ellinghaus more than expected).
Fields of papers citing papers by Peter Ellinghaus
This network shows the impact of papers produced by Peter Ellinghaus. 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 Peter Ellinghaus. The network helps show where Peter Ellinghaus may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ellinghaus, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 228 | |
| 2 | 2011 | 188 | |
| 3 | 2013 | 179 | |
| 4 | 2011 | 160 | |
| 5 | 1999 | 149 | |
| 6 | 2014 | 139 | |
| 7 | 2002 | 133 | |
| 8 | 2008 | 125 | |
| 9 | 2009 | 121 | |
| 10 | 2008 | 120 | |
| 11 | 2000 | 119 | |
| 12 | 1999 | 113 | |
| 13 | 2013 | 103 | |
| 14 | 2005 | 92 | |
| 15 | 2019 | 72 | |
| 16 | 1999 | 67 | |
| 17 | 2011 | 65 | |
| 18 | 2017 | 62 | |
| 19 | 2002 | 60 | |
| 20 | 2016 | 60 |
About Peter Ellinghaus
Peter Ellinghaus is a scholar working on Cancer Research, Rheumatology, Molecular Biology, Surgery and Hematology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (24 papers), Cancer, Hypoxia, and Metabolism (14 papers), Bladder and Urothelial Cancer Treatments (12 papers), Eosinophilic Disorders and Syndromes (11 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Pulmonary Hypertension Research and Treatments (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Kruppel-like factors research (5 papers). The work is most often cited by research in Cancer Research (544 citations), Biochemistry (199 citations), Clinical Biochemistry (170 citations), Molecular Biology (1.6k citations) and Hematology (245 citations). Peter Ellinghaus has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Udo Seedorf, Gerd Assmann, Ingo Flamme, Friedrich Spener, Christian Wolfrum, Khusru Asadullah, Anette Sommer, Isabella Gashaw, Felix Oehme and Frank Kannenberg. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Journal of Biological Chemistry and Physiological Genomics.
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.