Edwin De Pauw
About
In The Last Decade
Edwin De Pauw
470 papers receiving 14.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 6.5k
- Spectroscopy 4.9k
- Health, Toxicology and Mutagenesis 1.7k
- Plant Science 1.1k
- Cancer Research 1.0k
Countries citing papers authored by Edwin De Pauw
This map shows the geographic impact of Edwin De Pauw'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 Edwin De Pauw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin De Pauw more than expected).
Fields of papers citing papers by Edwin De Pauw
This network shows the impact of papers produced by Edwin De Pauw. 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 Edwin De Pauw. The network helps show where Edwin De Pauw may publish in the future.
Co-authorship network of co-authors of Edwin De Pauw
This figure shows the co-authorship network connecting the top 25 collaborators of Edwin De Pauw. A scholar is included among the top collaborators of Edwin De Pauw 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 Edwin De Pauw. Edwin De Pauw 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 | 10 | |
| 3 | 62 | |
| 4 | Fibulin-3 fragments (FIB3-1 and FIB3-2) are potential new biomarkers for the diagnosis of osteoarthritis | 9 |
| 5 | Dioxin levels in European eels, a Belgian study | 0 |
| 6 | Dioxin-like compounds in porpoises and seals from the southern North Sea: relationship with biological and ecological factors | 1 |
| 7 | Top-Down Proteomics using Matrix-Enhanced ISD | 1 |
| 8 | High-Resolution GC Coupled to High-Resolution MS in the Analysis of Dioxins and Related Substances, Principles and Applications | 2 |
| 9 | Evaluation of GC-MS/MS for determination of PBDEs in fish and shellfish samples | 2 |
| 10 | Levels of contamination for various pollutants present in Belgian human plasma | 4 |
| 11 | Assessment of the impact of an old MSWI. Part 2: Level of PCDD/Fs AND PCBs in serum of people living in its vicinity | 1 |
| 12 | A strategy to identify specific biomarkers related to the effects of pollutants on the immune system of marine mammals | 1 |
| 13 | Measurable impact of an old MSWI on the level of dioxins in free-range chickens and eggs grown in its vicinity | 7 |
| 14 | PCDD/F and non-ortho PCB body burden of the general population in Wallonia, Belgium: impact of different sources of environmental pollution | 2 |
| 15 | Easy access multi-cartridge extraction and clean-up assembly for specific isolation of dioxins in biological fluids | 1 |
| 16 | are target dioxin levels in animal feedingstuffs achievable for laboratories in terms of analytical requirements? Results of an interlaboratory study | 1 |
| 17 | Levels and Profile of PCDD/Fs and cPCBs in Belgian Breast Milk | 14 |
| 18 | Dioxin Body Burden of Populations Living in the Vicinity of Two Municipal Solid Waste Incinerators (MSWI) in Belgium | 2 |
| 19 | Levels and trends of PCDD/Fs and cPCBs in the Belgian food-stuffs one year after the "Dioxin Crisis | 1 |
| 20 | New High Capacity Disposable Silica Columns (HCDS) instead of GPC for Automated Clean-up of Biological Fatty Matrices in PCDD/Fs and cPCBs Analysis. | 2 |
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.