Daniela Diehl
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
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- Ubiquitin and proteasome pathways 1
- Ion Transport and Channel Regulation 1
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- Growth Hormone and Insulin-like Growth Factors 5
- Co-authors
- Konstanze Fischer (2 shared papers)Martin Bentz (2 shared papers)Stephan Stilgenbauer (2 shared papers)Peter Lichter (1 shared paper)Axel Benner (1 shared paper)Klavs Würgler Hansen (1 shared paper)Johannes Coy (1 shared paper)Martin Volkmann (1 shared paper)
- Journals
- International Journal of Cancer (2 papers)Gastroenterology (1 paper)Journal of Carcinogenesis (1 paper)Blood (1 paper)Carcinogenesis (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniela Diehl
14 papers receiving 890 citations
Daniela Diehl's Hit Papers
Peers
Comparison fields: 5 of 74
- Genetics 502
- Pathology and Forensic Medicine 344
- Immunology 194
- Oncology 231
- Hematology 80
Countries citing papers authored by Daniela Diehl
This map shows the geographic impact of Daniela Diehl'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 Daniela Diehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Diehl more than expected).
Fields of papers citing papers by Daniela Diehl
This network shows the impact of papers produced by Daniela Diehl. 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 Daniela Diehl. The network helps show where Daniela Diehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Diehl, 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 | p53 gene deletion predicts for poor survival and non-response to therapy with purine analogs in chronic B-cell leukemias Hit paper breakdown → | 1995 | 600 |
| 2 | 2003 | 89 | |
| 3 | 2008 | 52 | |
| 4 | 2008 | 33 | |
| 5 | 1999 | 27 | |
| 6 | 2004 | 24 | |
| 7 | 1994 | 22 | |
| 8 | 1998 | 19 | |
| 9 | 2007 | 15 | |
| 10 | 2006 | 13 | |
| 11 | 1991 | 11 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 2 | |
| 14 | 2004 | 2 |
About Daniela Diehl
Daniela Diehl is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Genetics, having authored 14 papers that have together received 914 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lipid metabolism and disorders (2 papers), Genetic factors in colorectal cancer (2 papers), Ubiquitin and proteasome pathways (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Genetics (502 citations), Pathology and Forensic Medicine (344 citations), Immunology (194 citations), Oncology (231 citations) and Hematology (80 citations). Daniela Diehl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Konstanze Fischer, Martin Bentz, Stephan Stilgenbauer, Peter Lichter, Axel Benner, Klavs Würgler Hansen, Johannes Coy, Martin Volkmann, Richard F. Schlenk and Albert J. Poustka. Their work appears in journals such as International Journal of Cancer, Gastroenterology, Journal of Carcinogenesis, Blood and Carcinogenesis.
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.