Martine Vercammen
- Parasitology top 0.5%
- Epidemiology top 5%
- Immunology top 10%
- Virology top 5%
- Molecular Biology
- Co-authors
- Hendrik VerschuerenJos De BraekeleerW. L. HomanDirk JacobsEric SamanTatiana ScorzaKris HuygenH. Van de Velde
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)Toxoplasma gondii Research Studies (8 papers)Herpesvirus Infections and Treatments (7 papers)
- Cited by
- ParasitologyVirologyEpidemiology
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Martine Vercammen
31 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Parasitology 972
- Epidemiology 716
- Immunology 240
- Virology 212
- Molecular Biology 163
Countries citing papers authored by Martine Vercammen
This map shows the geographic impact of Martine Vercammen'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 Martine Vercammen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martine Vercammen more than expected).
Fields of papers citing papers by Martine Vercammen
This network shows the impact of papers produced by Martine Vercammen. 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 Martine Vercammen. The network helps show where Martine Vercammen may publish in the future.
Co-authorship network of co-authors of Martine Vercammen
This figure shows the co-authorship network connecting the top 25 collaborators of Martine Vercammen. A scholar is included among the top collaborators of Martine Vercammen 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 Martine Vercammen. Martine Vercammen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 18 | |
| 4 | 12 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 34 | |
| 9 | 76 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 67 | |
| 15 | Identification of a 200- to 300-fold repetitive 529 bp DNA fragment in Toxoplasma gondii, and its use for diagnostic and quantitative PCR1Note: Nucleotide sequence data reported in this paper have been submitted to GenBankTM database with the accession number AF146527 (Toxoplasma gondii genomic repetitive 529 bp fragment).1breakdown → | 613 |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | First trimester prenatal diagnosis of lysosomal storage disease. Study of alpha-L-fucosidase isoenzyme patterns in fetal and maternal tissue. | 2 |
About Martine Vercammen
Martine Vercammen is a scholar working on Parasitology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Toxoplasma gondii Research Studies (8 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Parasitology (972 citations), Virology (212 citations) and Epidemiology (716 citations). Martine Vercammen has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Hendrik Verschueren, Jos De Braekeleer, W. L. Homan, Dirk Jacobs, Eric Saman, Tatiana Scorza, Kris Huygen, H. Van de Velde, Peter A. Horn and Vera Rebmann. Their work appears in journals such as The Journal of Immunology, Infection and Immunity and Diabetologia.
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.