Anna Skiada

35 papers receiving 4.0k citations

Hit Papers

Epidemiology and Diagnosis of Mucormycosis: An Update 2020 · 368 citations
3682011202620162021250500750

Peers

Anna Skiada
Comparison fields: 5 of 112
  • Infectious Diseases 3.5k
  • Otorhinolaryngology 367
  • Epidemiology 2.7k
  • Applied Microbiology and Biotechnology 104
  • Small Animals 361
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Countries citing papers authored by Anna Skiada

Since Specialization
Citations

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

Fields of papers citing papers by Anna Skiada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Skiada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Skiada Line = papers co-authored together Anna Skiada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology and Clinical Manifestations of Mucormycosis
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2012967
2
Zygomycosis in Europe: analysis of 230 cases accrued by the registry of the European Confederation of Medical Mycology (ECMM) Working Group on Zygomycosis between 2005 and 2007
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2011540
3
ECIL-6 guidelines for the treatment of invasive candidiasis, aspergillosis and mucormycosis in leukemia and hematopoietic stem cell transplant patients
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2016432
4
Epidemiology and Diagnosis of Mucormycosis: An Update
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2020368
5
Challenges in the diagnosis and treatment of mucormycosis
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2017329
6 2012258
7 2016110
8 200793
9 200392
10 200983
11 201579
12 201279
13 201070
14 201468
15 201163
16 201259
17 201655
18 201854
19 201040
20 200340

About Anna Skiada

Anna Skiada is a scholar working on Molecular Medicine, Microbiology, Infectious Diseases, Small Animals and Epidemiology, having authored 36 papers that have together received 4.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (20 papers), Antibiotic Resistance in Bacteria (8 papers), Infectious Diseases and Mycology (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Identification and Susceptibility Testing (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (3.5k citations), Otorhinolaryngology (367 citations), Epidemiology (2.7k citations), Applied Microbiology and Biotechnology (104 citations) and Small Animals (361 citations). Anna Skiada has collaborated with scholars based in Greece, United States and France. Frequent co-authors include G. Petrikkos, Emmanuel Roilides, Olivier Lortholary, Thomas J. Walsh, Dimitrios P. Kontoyiannis, Maria Drogari‐Apiranthitou, Ioannis Pavleas, Cornelia Lass‐Flörl, Livio Pagano and Andreas H. Groll. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Fungi, International Journal of Antimicrobial Agents, Haematologica and Critical Care.

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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