Floris C. Breman

905 total citations
28 papers, 649 citations indexed

About

Floris C. Breman is a scholar working on Molecular Biology, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Floris C. Breman has authored 28 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Nature and Landscape Conservation and 7 papers in Ecology. Recurrent topics in Floris C. Breman's work include Genomics and Phylogenetic Studies (6 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Identification and Quantification in Food (4 papers). Floris C. Breman is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Identification and Quantification in Food (4 papers). Floris C. Breman collaborates with scholars based in Belgium, Netherlands and China. Floris C. Breman's co-authors include Marc De Meyer, Massimiliano Virgilio, J. W. Ferry Slik, Kurt Jordaens, Thierry Backeljau, Karl A. O. Eichhorn, J. K. J. VAN HOUDT, Zoltán T. Nagy, Maarten Van Steenberge and Jos Snoeks and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Floris C. Breman

26 papers receiving 632 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Floris C. Breman Belgium 14 245 174 173 149 142 28 649
Sarah Lutteropp Germany 8 285 1.2× 128 0.7× 313 1.8× 144 1.0× 84 0.6× 10 881
Jagoba Malumbres‐Olarte Finland 13 285 1.2× 171 1.0× 250 1.4× 91 0.6× 121 0.9× 42 877
Jonathan Stuart Ready Brazil 16 454 1.9× 260 1.5× 198 1.1× 183 1.2× 48 0.3× 48 928
Zoltán T. Nagy Belgium 16 307 1.3× 97 0.6× 201 1.2× 319 2.1× 94 0.7× 25 850
Shantanu Kundu India 14 182 0.7× 219 1.3× 393 2.3× 112 0.8× 133 0.9× 103 754
Petri Kemppainen Finland 15 265 1.1× 120 0.7× 147 0.8× 101 0.7× 56 0.4× 29 802
Norah P. Saarman United States 15 127 0.5× 67 0.4× 89 0.5× 74 0.5× 136 1.0× 26 510
Riccardo Scalerà Italy 13 425 1.7× 242 1.4× 40 0.2× 186 1.2× 96 0.7× 25 670
Pablo García‐Díaz Australia 16 491 2.0× 314 1.8× 86 0.5× 151 1.0× 62 0.4× 55 767
Maria Pickering United States 11 636 2.6× 140 0.8× 133 0.8× 160 1.1× 31 0.2× 17 814

Countries citing papers authored by Floris C. Breman

Since Specialization
Citations

This map shows the geographic impact of Floris C. Breman'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 Floris C. Breman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floris C. Breman more than expected).

Fields of papers citing papers by Floris C. Breman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Floris C. Breman. 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 Floris C. Breman. The network helps show where Floris C. Breman may publish in the future.

Co-authorship network of co-authors of Floris C. Breman

This figure shows the co-authorship network connecting the top 25 collaborators of Floris C. Breman. A scholar is included among the top collaborators of Floris C. Breman 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 Floris C. Breman. Floris C. Breman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Breman, Floris C., et al.. (2024). Plastid-encoded RNA polymerase variation in Pelargonium sect Ciconium. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
2.
Breman, Floris C., Andy Haegeman, Nina Krešić, et al.. (2024). Sheeppox virus genome sequences from the European outbreaks in Spain, Bulgaria, and Greece in 2022–2024. Archives of Virology. 169(11). 234–234. 1 indexed citations
3.
Sohier, Charlotte, et al.. (2024). West Nile Virus Monitoring in Flanders (Belgium) During 2022–2023 Reveals Endemic Usutu Virus Circulation in Birds. Transboundary and Emerging Diseases. 2024(1). 4146156–4146156.
4.
Breman, Floris C., et al.. (2024). Inheritance of Mitochondria in Pelargonium Section Ciconium (Sweet) Interspecific Crosses. SHILAP Revista de lepidopterología. 15(3). 586–598.
5.
6.
Breman, Floris C., et al.. (2021). Repeatome-Based Phylogenetics in Pelargonium Section Ciconium (Sweet) Harvey. Genome Biology and Evolution. 13(12). 3 indexed citations
7.
Breman, Floris C., et al.. (2016). Testing the potential ofDNAbarcoding in vertebrate radiations: the case of the littoral cichlids (Pisces, Perciformes, Cichlidae) from Lake Tanganyika. Molecular Ecology Resources. 16(6). 1455–1464. 22 indexed citations
8.
Vanhove, Maarten P. M., Antoine Pariselle, Maarten Van Steenberge, et al.. (2015). Hidden biodiversity in an ancient lake: phylogenetic congruence between Lake Tanganyika tropheine cichlids and their monogenean flatworm parasites. Scientific Reports. 5(1). 13669–13669. 61 indexed citations
9.
Versteirt, Veerle, Zoltán T. Nagy, Patricia Roelants, et al.. (2014). Identification of Belgian mosquito species (Diptera: Culicidae) by DNA barcoding. Molecular Ecology Resources. 15(2). 449–457. 68 indexed citations
10.
Steenberge, Maarten Van, Maarten P. M. Vanhove, Floris C. Breman, & Jos Snoeks. (2013). Complex geographical variation patterns in Tropheus duboisi Marlier, 1959 (Perciformes, Cichlidae) from Lake Tanganyika. Hydrobiologia. 748(1). 39–60. 14 indexed citations
11.
Sonet, Gontran, Kurt Jordaens, Zoltán T. Nagy, et al.. (2013). Adhoc: an R package to calculate ad hoc distance thresholds for DNA barcoding identification. ZooKeys. 365(365). 329–336. 20 indexed citations
12.
Virgilio, Massimiliano, Kurt Jordaens, Floris C. Breman, Thierry Backeljau, & Marc De Meyer. (2012). Identifying Insects with Incomplete DNA Barcode Libraries, African Fruit Flies (Diptera: Tephritidae) as a Test Case. PLoS ONE. 7(2). e31581–e31581. 82 indexed citations
13.
López‐Vaamonde, Carlos, Floris C. Breman, David C. Lees, Hilde Van Esch, & Jurate De Prins. (2012). Analysis of tissue dependent DNA yield for optimal sampling of micro-moths in large-scale biodiversity surveys. European Journal of Entomology. 109(1). 1–6. 9 indexed citations
14.
Sonet, Gontran, et al.. (2011). Applicability of DNA barcoding to museum specimens of birds from the Democratic Republic of the Congo. Biodiversity Heritage Library (Smithsonian Institution). 57. 117–131. 7 indexed citations
15.
Nagy, Zoltán T., et al.. (2010). DNA barcoding of museum specimens of Lymantriidae preserved in the Royal Museum for Central Africa. 15(15). 4 indexed citations
16.
Slik, J. W. Ferry, et al.. (2010). Fire as a selective force in a Bornean tropical everwet forest. Oecologia. 164(3). 841–849. 27 indexed citations
17.
HOUDT, J. K. J. VAN, Floris C. Breman, Massimiliano Virgilio, & Marc De Meyer. (2009). Recovering full DNA barcodes from natural history collections of Tephritid fruitflies (Tephritidae, Diptera) using mini barcodes. Molecular Ecology Resources. 10(3). 459–465. 65 indexed citations
18.
Slik, J. W. Ferry, et al.. (2008). Wood Density as a Conservation Tool: Quantification of Disturbance and Identification of Conservation‐Priority Areas in Tropical Forests. Conservation Biology. 22(5). 1299–1308. 59 indexed citations
19.
20.
Bakker, Freek T., Floris C. Breman, & Vincent S. F. T. Merckx. (2006). DNA sequence evolution in fast evolving mitochondrial DNA nad1 exons in Geraniaceae and Plantaginaceae. Taxon. 55(4). 887–896. 32 indexed citations

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.

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