Silvia Slesiona

509 total citations
8 papers, 406 citations indexed

About

Silvia Slesiona is a scholar working on Infectious Diseases, Epidemiology and Plant Science. According to data from OpenAlex, Silvia Slesiona has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Plant Science. Recurrent topics in Silvia Slesiona's work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (3 papers) and Mycotoxins in Agriculture and Food (3 papers). Silvia Slesiona is often cited by papers focused on Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (3 papers) and Mycotoxins in Agriculture and Food (3 papers). Silvia Slesiona collaborates with scholars based in Germany, France and United Kingdom. Silvia Slesiona's co-authors include Ilse D. Jacobsen, Matthias Brock, Bernhard Hube, Duncan Wilson, François L. Mayer, Pedro Miramón, Angela Berndt, Philipp Olias, Iryna Bohovych and Alistair J. P. Brown and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Infection and Immunity.

In The Last Decade

Silvia Slesiona

8 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Slesiona Germany	8	258	156	125	82	48	8	406
Michael Tscherner Austria	14	304 1.2×	234 1.5×	169 1.4×	80 1.0×	51 1.1×	22	479
Frank Stehr Germany	7	280 1.1×	223 1.4×	153 1.2×	48 0.6×	67 1.4×	7	450
Diego Conrado Pereira Rossi Brazil	13	250 1.0×	216 1.4×	137 1.1×	96 1.2×	68 1.4×	18	529
José Pedro Lopes Sweden	8	288 1.1×	180 1.2×	125 1.0×	45 0.5×	60 1.3×	11	547
Arnab Pradhan United Kingdom	11	271 1.1×	175 1.1×	133 1.1×	76 0.9×	34 0.7×	18	422
Anna‐Maria Dietl Austria	12	226 0.9×	112 0.7×	226 1.8×	101 1.2×	25 0.5×	15	470
Suélen Andreia Rossi Brazil	13	350 1.4×	346 2.2×	105 0.8×	90 1.1×	30 0.6×	19	544
Fernando L. Hernando Spain	14	291 1.1×	179 1.1×	131 1.0×	96 1.2×	23 0.5×	31	457
Gordon P. Rigg United Kingdom	9	197 0.8×	161 1.0×	167 1.3×	53 0.6×	31 0.6×	11	448
Julia Blaß Germany	7	201 0.8×	170 1.1×	104 0.8×	39 0.5×	33 0.7×	7	371

Countries citing papers authored by Silvia Slesiona

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Slesiona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Slesiona

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

All Works

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8 of 8 papers shown

Slesiona, Silvia, et al.. (2015). The glycolytic enzyme enolase represents a plasminogen-binding protein on the surface of a wide variety of medically important fungal species. International Journal of Medical Microbiology. 306(1). 59–68. 40 indexed citations

Wilson, Duncan, François L. Mayer, Pedro Miramón, et al.. (2014). Distinct Roles of Candida albicans-Specific Genes in Host-Pathogen Interactions. Eukaryotic Cell. 13(8). 977–989. 9 indexed citations

Mayer, François L., Duncan Wilson, Ilse D. Jacobsen, et al.. (2012). Small but Crucial: The Novel Small Heat Shock Protein Hsp21 Mediates Stress Adaptation and Virulence in Candida albicans. PLoS ONE. 7(6). e38584–e38584. 75 indexed citations

Slesiona, Silvia, Oumaïma Ibrahim-Granet, Philipp Olias, Matthias Brock, & Ilse D. Jacobsen. (2012). Murine Infection Models for Aspergillus terreus Pulmonary Aspergillosis Reveal Long-term Persistence of Conidia and Liver Degeneration. The Journal of Infectious Diseases. 205(8). 1268–1277. 31 indexed citations

Slesiona, Silvia, Markus Gressler, Michael Mihlan, et al.. (2012). Persistence versus Escape: Aspergillus terreus and Aspergillus fumigatus Employ Different Strategies during Interactions with Macrophages. PLoS ONE. 7(2). e31223–e31223. 73 indexed citations

Olias, Philipp, Achim D. Gruber, Hafez M. Hafez, et al.. (2010). Molecular epidemiology and virulence assessment of Aspergillus fumigatus isolates from white stork chicks and their environment. Veterinary Microbiology. 148(2-4). 348–355. 24 indexed citations

Jacobsen, Ilse D., et al.. (2010). Embryonated Eggs as an Alternative Infection Model To InvestigateAspergillus fumigatusVirulence. Infection and Immunity. 78(7). 2995–3006. 59 indexed citations

Wilson, Duncan, Sascha Thewes, Katherina Zakikhany, et al.. (2009). Identifying infection-associated genes ofCandida albicansin the postgenomic era. FEMS Yeast Research. 9(5). 688–700. 95 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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