Dieter Deforce
- Molecular Biology top 1%
- Genetics top 1%
- Plant Science top 2%
- Immunology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Filip Van NieuwerburghKatleen Van SteendamMaarten DhaenensMado VandewoestyneDirk ElewautPetra De SutterKelly TillemanDavid Van Hoofstat
- Topics
- Molecular Biology Techniques and Applications (35 papers)CRISPR and Genetic Engineering (31 papers)Mass Spectrometry Techniques and Applications (25 papers)
- Cited by
- Molecular BiologyEquineGenetics
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Dieter Deforce
384 papers receiving 10.0k citations
Peers
Comparison fields: 5 of 175
- Molecular Biology 4.8k
- Genetics 1.5k
- Plant Science 1.2k
- Immunology 954
- Public Health, Environmental and Occupational Health 833
Countries citing papers authored by Dieter Deforce
This map shows the geographic impact of Dieter Deforce'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 Dieter Deforce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Deforce more than expected).
Fields of papers citing papers by Dieter Deforce
This network shows the impact of papers produced by Dieter Deforce. 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 Dieter Deforce. The network helps show where Dieter Deforce may publish in the future.
Co-authorship network of co-authors of Dieter Deforce
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Deforce. A scholar is included among the top collaborators of Dieter Deforce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dieter Deforce. Dieter Deforce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 47 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 44 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 52 | |
| 15 | 16 | |
| 16 | 50 | |
| 17 | 15 | |
| 18 | The HCV Serum proteome: A search for fibrosis protein markers | 1 |
| 19 | First evidence of disturbed expression of the oocyte-activating factor PLCzeta in globozoospermic men | 5 |
| 20 | Analysis of melphalan adducts of 2 '-deoxynucleotides in calf thymus DNA hydrolysates by capillary high-performance liquid chromatography-electrospray tandem mass spectrometry. | 14 |
About Dieter Deforce
Dieter Deforce is a scholar working on Equine, Molecular Biology and Genetics, having authored 392 papers that have together received 10.2k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (35 papers), CRISPR and Genetic Engineering (31 papers) and Mass Spectrometry Techniques and Applications (25 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Equine (93 citations) and Genetics (1.5k citations). Dieter Deforce has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Filip Van Nieuwerburgh, Katleen Van Steendam, Maarten Dhaenens, Mado Vandewoestyne, Dirk Elewaut, Petra De Sutter, Kelly Tilleman, David Van Hoofstat, Tom Coenye and Björn Heindryckx. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.
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.