Marjan Bovers

797 total citations
8 papers, 612 citations indexed

About

Marjan Bovers is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Marjan Bovers has authored 8 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Cell Biology. Recurrent topics in Marjan Bovers's work include Fungal Infections and Studies (7 papers), Antifungal resistance and susceptibility (5 papers) and Plant Pathogens and Fungal Diseases (4 papers). Marjan Bovers is often cited by papers focused on Fungal Infections and Studies (7 papers), Antifungal resistance and susceptibility (5 papers) and Plant Pathogens and Fungal Diseases (4 papers). Marjan Bovers collaborates with scholars based in Netherlands, United States and France. Marjan Bovers's co-authors include Teun Boekhout, Ferry Hagen, Eiko E. Kuramae, Mara R. Diaz, Hans L. Hoogveld, Françoise Dromer, Lodewijk Spanjaard, Jack W. Fell, G. St‐Germain and Richard C. Summerbell and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Marjan Bovers

8 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marjan Bovers Netherlands	8	460	338	219	142	142	8	612
Bert Gerrits van den Ende Netherlands	13	347 0.8×	214 0.6×	389 1.8×	105 0.7×	290 2.0×	24	695
D. Romito Italy	8	342 0.7×	146 0.4×	185 0.8×	55 0.4×	72 0.5×	14	507
Manjula Deville France	11	176 0.4×	93 0.3×	137 0.6×	47 0.3×	134 0.9×	15	407
Karolina Dukik Netherlands	13	808 1.8×	268 0.8×	739 3.4×	110 0.8×	299 2.1×	16	1.1k
Michael R. Botts United States	11	340 0.7×	277 0.8×	88 0.4×	142 1.0×	127 0.9×	14	538
Andria Allen United States	4	572 1.2×	372 1.1×	240 1.1×	316 2.2×	342 2.4×	8	847
Rita Marimon Spain	6	927 2.0×	669 2.0×	555 2.5×	57 0.4×	207 1.5×	7	989
Mustafa El Fari Germany	10	654 1.4×	81 0.2×	219 1.0×	44 0.3×	123 0.9×	10	984
Ted H. Noon United States	11	81 0.2×	68 0.2×	75 0.3×	31 0.2×	170 1.2×	13	365
M. D. Connole Australia	17	283 0.6×	83 0.2×	177 0.8×	41 0.3×	176 1.2×	32	560

Countries citing papers authored by Marjan Bovers

Since Specialization

Citations

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

Fields of papers citing papers by Marjan Bovers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjan Bovers. 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 Marjan Bovers. The network helps show where Marjan Bovers may publish in the future.

Co-authorship network of co-authors of Marjan Bovers

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Bovers, Marjan, Ferry Hagen, Eiko E. Kuramae, & Teun Boekhout. (2009). Promiscuous mitochondria inCryptococcus gattii. FEMS Yeast Research. 9(3). 489–503. 22 indexed citations

Bovers, Marjan, Ferry Hagen, & Teun Boekhout. (2008). Diversidad del complejo de especies Cryptococcus neoformans-Cryptococcus gattii. Revista Iberoamericana de Micología. 25(1). S4–S12. 113 indexed citations

Bovers, Marjan, Ferry Hagen, Eiko E. Kuramae, et al.. (2008). AIDS Patient Death Caused by NovelCryptococcus neoformans×C.gattiiHybrid. Emerging infectious diseases. 14(7). 1105–1108. 76 indexed citations

Bovers, Marjan, Ferry Hagen, Eiko E. Kuramae, & Teun Boekhout. (2007). Six monophyletic lineages identified within Cryptococcus neoformans and Cryptococcus gattii by multi-locus sequence typing. Fungal Genetics and Biology. 45(4). 400–421. 134 indexed citations

Bovers, Marjan, Mara R. Diaz, Ferry Hagen, et al.. (2007). Identification of Genotypically Diverse Cryptococcus neoformans and Cryptococcus gattii Isolates by Luminex xMAP Technology. Journal of Clinical Microbiology. 45(6). 1874–1883. 44 indexed citations

Diaz, Mara R., Teun Boekhout, Bart Theelen, et al.. (2006). Microcoding and flow cytometry as a high-throughput fungal identification system for Malassezia species. Journal of Medical Microbiology. 55(9). 1197–1209. 32 indexed citations

Bovers, Marjan, Ferry Hagen, Eiko E. Kuramae, et al.. (2006). Unique hybrids between the fungal pathogensCryptococcus neoformansandCryptococcus gattii. FEMS Yeast Research. 6(4). 599–607. 112 indexed citations

Summerbell, Richard C., C. André Lévesque, Keith A. Seifert, et al.. (2005). Microcoding: the second step in DNA barcoding. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1462). 1897–1903. 79 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.

Explore authors with similar magnitude of impact