Eric de Kant
Impact in
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- Cancer-related Molecular Pathways
- Drug Transport and Resistance Mechanisms
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- Cancer Genomics and Diagnostics
Papers in
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- Biochemical and Molecular Research 3
- Oncology 9
- Cancer-related Molecular Pathways 5
- Drug Transport and Resistance Mechanisms 3
- Colorectal Cancer Treatments and Studies 2
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Christoph Rochlitz (12 shared papers)Richard Herrmann (9 shared papers)Christian Thiede (5 shared papers)Marit J. Boot (1 shared paper)Adriana C. Gittenberger–de Groot (1 shared paper)Marco C. DeRuiter (1 shared paper)Heleen Lie‐Venema (1 shared paper)D. Huhn (4 shared papers)
- Journals
- European Journal of Cancer (3 papers)Oncology (2 papers)British Journal of Cancer (2 papers)Biochemical Pharmacology (1 paper)Cancer Letters (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Eric de Kant
18 papers receiving 384 citations
Peers
Comparison fields: 5 of 66
- Oncology 111
- Cancer Research 50
- Molecular Biology 237
- Pathology and Forensic Medicine 41
- Genetics 24
Countries citing papers authored by Eric de Kant
This map shows the geographic impact of Eric de Kant'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 Eric de Kant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric de Kant more than expected).
Fields of papers citing papers by Eric de Kant
This network shows the impact of papers produced by Eric de Kant. 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 Eric de Kant. The network helps show where Eric de Kant may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric de Kant, 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 | 2003 | 79 | |
| 2 | 2009 | 41 | |
| 3 | Gene expression analysis by a competitive and differential PCR with antisense competitors. | 1994 | 29 |
| 4 | 1997 | 25 | |
| 5 | 1990 | 25 | |
| 6 | 2001 | 23 | |
| 7 | 1992 | 21 | |
| 8 | 1992 | 21 | |
| 9 | 1993 | 20 | |
| 10 | 1994 | 20 | |
| 11 | 1992 | 19 | |
| 12 | 1996 | 16 | |
| 13 | 1998 | 16 | |
| 14 | 1995 | 11 | |
| 15 | 1993 | 10 | |
| 16 | 1995 | 8 | |
| 17 | 1989 | 6 | |
| 18 | 2009 | 3 |
About Eric de Kant
Eric de Kant is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 18 papers that have together received 393 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Genetic factors in colorectal cancer (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Biochemical and Molecular Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Adenosine and Purinergic Signaling (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (111 citations), Cancer Research (50 citations), Molecular Biology (237 citations), Pathology and Forensic Medicine (41 citations) and Genetics (24 citations). Eric de Kant has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Christoph Rochlitz, Richard Herrmann, Christian Thiede, Marit J. Boot, Adriana C. Gittenberger–de Groot, Marco C. DeRuiter, Heleen Lie‐Venema, D. Huhn, Richard Herrmann and Andreas Neubauer. Their work appears in journals such as European Journal of Cancer, Oncology, British Journal of Cancer, Biochemical Pharmacology and Cancer Letters.
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.