D. Paul
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Biochemistry top 5%
Papers in
-
- CRISPR and Genetic Engineering 4
- Renal and related cancers 3
- Genetics 14
- Virus-based gene therapy research 9
- Animal Genetics and Reproduction 7
- Co-authors
- H. Thomas Rupniak (3 shared papers)W. Seifert (1 shared paper)Joseph W. Carnwath (5 shared papers)H. Niemann (5 shared papers)Martin Höhne (3 shared papers)Wolfram H. Gerlich (1 shared paper)Mark A. Feitelson (1 shared paper)Stephan Schaefer (1 shared paper)
- Journals
- Experimental Cell Research (3 papers)Journal of Cellular Physiology (3 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Theriogenology (2 papers)The EMBO Journal (2 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
D. Paul
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Hepatology 154
- Biochemistry 92
- Genetics 297
- Molecular Biology 665
- Biotechnology 68
Countries citing papers authored by D. Paul
This map shows the geographic impact of D. Paul'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 D. Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Paul more than expected).
Fields of papers citing papers by D. Paul
This network shows the impact of papers produced by D. Paul. 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 D. Paul. The network helps show where D. Paul may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Paul, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 193 | |
| 2 | 2000 | 182 | |
| 3 | 1988 | 90 | |
| 4 | 1972 | 78 | |
| 5 | 1999 | 63 | |
| 6 | 1978 | 60 | |
| 7 | 1973 | 59 | |
| 8 | 2001 | 41 | |
| 9 | 1972 | 41 | |
| 10 | 1969 | 39 | |
| 11 | Secreted platelet proteins with antiheparin and mitogenic activities in chronic renal failure. | 1980 | 35 |
| 12 | 1992 | 34 | |
| 13 | 2003 | 31 | |
| 14 | 1980 | 26 | |
| 15 | 2003 | 21 | |
| 16 | A transgenic mouse model for lung adenocarcinoma. | 1995 | 21 |
| 17 | 1978 | 17 | |
| 18 | 1993 | 15 | |
| 19 | 1968 | 14 | |
| 20 | 1978 | 14 |
About D. Paul
D. Paul is a scholar working on Molecular Biology, Genetics, Surgery, Cell Biology and Biotechnology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Animal Genetics and Reproduction (7 papers), Liver physiology and pathology (5 papers), Cancer Research and Treatments (5 papers), CRISPR and Genetic Engineering (4 papers), Renal and related cancers (3 papers), Aldose Reductase and Taurine (3 papers) and Clinical Nutrition and Gastroenterology (3 papers). The work is most often cited by research in Hepatology (154 citations), Biochemistry (92 citations), Genetics (297 citations), Molecular Biology (665 citations) and Biotechnology (68 citations). D. Paul has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include H. Thomas Rupniak, W. Seifert, Joseph W. Carnwath, H. Niemann, Martin Höhne, Wolfram H. Gerlich, Mark A. Feitelson, Stephan Schaefer, Maria Seifer and Jan Motlík. Their work appears in journals such as Experimental Cell Research, Journal of Cellular Physiology, Journal of Cancer Research and Clinical Oncology, Theriogenology and The EMBO Journal.
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.