W. Ébert
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 20
- Hematology top 5%
- Blood groups and transfusion 6
- Oncology top 5%
- Peptidase Inhibition and Analysis 18
- Lung Cancer Research Studies 12
- Bone health and treatments 7
- Immunology and Allergy top 5%
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- Glycosylation and Glycoproteins Research 12
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- Erythrocyte Function and Pathophysiology 8
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- Neuroendocrine Tumor Research Advances 8
- Co-authors
- Eberhard SpießD. RoelckeBernd WerleT. MuleyH. WeickerHendrik DienemannThomas MuleyTamara T. Lah
- Cited by
- Cancer ResearchHematologyOncology
In The Last Decade
W. Ébert
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 452
- Hematology 264
- Oncology 597
- Immunology and Allergy 90
- Pulmonary and Respiratory Medicine 389
Countries citing papers authored by W. Ébert
This map shows the geographic impact of W. Ébert'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 W. Ébert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Ébert more than expected).
Fields of papers citing papers by W. Ébert
This network shows the impact of papers produced by W. Ébert. 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 W. Ébert. The network helps show where W. Ébert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W. Ébert, 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 | 2008 | 38 | |
| 2 | 2004 | 164 | |
| 3 | 2003 | 24 | |
| 4 | 2000 | 48 | |
| 5 | Die Anreizwirkungen des Finanzausgleichs | 1999 | 2 |
| 6 | 1999 | 30 | |
| 7 | 1997 | 49 | |
| 8 | 1996 | 5 | |
| 9 | 1995 | 17 | |
| 10 | 1994 | 54 | |
| 11 | 1993 | 10 | |
| 12 | 1990 | 8 | |
| 13 | 1990 | 5 | |
| 14 | 1990 | 11 | |
| 15 | 1990 | 42 | |
| 16 | 1989 | 11 | |
| 17 | 1987 | 16 | |
| 18 | Möglichkeiten einer objektiven Bekämpfungsentscheidung bei Schaderregern im Feldbau mit Hilfe von Bekämpfungsrichtwerten | 1979 | 2 |
| 19 | Quantitative analysis of amino acids by gas chromatography | 1971 | 17 |
| 20 | 1971 | 2 |
About W. Ébert
W. Ébert is a scholar working on Cancer Research, Oncology, Hematology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (20 papers), Peptidase Inhibition and Analysis (18 papers), Glycosylation and Glycoproteins Research (12 papers), Lung Cancer Research Studies (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Bone health and treatments (7 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Cancer Research (452 citations), Hematology (264 citations), Oncology (597 citations), Immunology and Allergy (90 citations) and Pulmonary and Respiratory Medicine (389 citations). W. Ébert has collaborated with scholars based in Germany, Slovenia and Croatia. Frequent co-authors include Eberhard Spieß, D. Roelcke, Bernd Werle, T. Muley, H. Weicker, Hendrik Dienemann, Thomas Muley, Tamara T. Lah, P. Drings and Janko Kos. Their work appears in journals such as Lung Cancer, Vox Sanguinis, Chromatographia, British Journal of Cancer and Clinical Chemistry and Laboratory Medicine (CCLM).
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.