Wanja M. Bernhardt
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Nephrology top 1%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
Papers in
-
- Cancer, Hypoxia, and Metabolism 19
-
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Kai‐Uwe EckardtMichael S. WiesenerCarsten WillamChristina WarneckeAlexander WeidemannYasuhiro AkaiDebra F. HigginsRandall S. Johnson
- Journals
- Blood (4 papers)Journal of the American Society of Nephrology (3 papers)Nephrology Dialysis Transplantation (3 papers)American Journal Of Pathology (3 papers)Atherosclerosis (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Wanja M. Bernhardt
36 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 1.3k
- Nephrology 504
- Hematology 350
- Biochemistry 180
- Genetics 553
Countries citing papers authored by Wanja M. Bernhardt
This map shows the geographic impact of Wanja M. Bernhardt'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 Wanja M. Bernhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanja M. Bernhardt more than expected).
Fields of papers citing papers by Wanja M. Bernhardt
This network shows the impact of papers produced by Wanja M. Bernhardt. 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 Wanja M. Bernhardt. The network helps show where Wanja M. Bernhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanja M. Bernhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2011 | 39 | |
| 3 | 2009 | 46 | |
| 4 | 2009 | 119 | |
| 5 | 2009 | 104 | |
| 6 | 2009 | 78 | |
| 7 | 2008 | 26 | |
| 8 | 2008 | 154 | |
| 9 | 2008 | 42 | |
| 10 | 2007 | 53 | |
| 11 | Hypoxia promotes fibrogenesis in vivo via HIF-1 stimulation of epithelial-to-mesenchymal transition Hit paper breakdown → | 2007 | 828 |
| 12 | 2007 | 49 | |
| 13 | 2007 | 105 | |
| 14 | 2006 | 55 | |
| 15 | 2006 | 241 | |
| 16 | 2006 | 90 | |
| 17 | 2006 | 52 | |
| 18 | 2005 | 92 | |
| 19 | 2005 | 8 | |
| 20 | 1998 | 6 |
About Wanja M. Bernhardt
Wanja M. Bernhardt is a scholar working on Cancer Research, Biochemistry, Biotechnology, Nephrology and Hematology, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (19 papers), High Altitude and Hypoxia (6 papers), Organ Transplantation Techniques and Outcomes (4 papers), Renal and related cancers (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Acute Kidney Injury Research (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (1.3k citations), Nephrology (504 citations), Hematology (350 citations), Biochemistry (180 citations) and Genetics (553 citations). Wanja M. Bernhardt has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Kai‐Uwe Eckardt, Michael S. Wiesener, Carsten Willam, Christina Warnecke, Alexander Weidemann, Yasuhiro Akai, Debra F. Higgins, Randall S. Johnson, Kai-Uwe Eckardt and Kuniko Kimura. Their work appears in journals such as Blood, Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation, American Journal Of Pathology and Atherosclerosis.
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.