S. Alexiou‐Daniel

510 citations
19 papers · 367 · h-index 10

Impact in

Papers in

    • Viral Infections and Vectors 9
    • Viral Infections and Outbreaks Research 3
    • Vector-borne infectious diseases 5
    • Bartonella species infections research 3

S. Alexiou‐Daniel

19 papers receiving 357 citations

Peers

S. Alexiou‐Daniel
Comparison fields: 5 of 55
  • Endocrinology 71
  • Infectious Diseases 203
  • Parasitology 67
  • Molecular Medicine 40
  • Global and Planetary Change 116
Replace Wah Win Htike with:
Wah Win Htike Myanmar
Sabrina Weiß Germany
Anaïs Appelgren France
А. Н. Куличенко Russia
S Kaneko Japan
Marcelo Pires Nogueira de Carvalho Brazil
Titus Imboma Kenya
Petra Griekspoor Sweden
Ketevan Sidamonidze United States
Karen C. Poh United States
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Citations per field
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Citations per year

Countries citing papers authored by S. Alexiou‐Daniel

Since Specialization
Citations

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

Fields of papers citing papers by S. Alexiou‐Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Alexiou‐Daniel. 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 S. Alexiou‐Daniel. The network helps show where S. Alexiou‐Daniel may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Alexiou‐Daniel, 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 S. Alexiou‐Daniel Line = papers co-authored together S. Alexiou‐Daniel links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199875
2 200070
3 199669
4 200928
5 200726
6 199916
7 200511
8 198911
9 200510
10 19989
11 20049
12 20098
13 20036
14 20095
15 19964
16 20033
17
Typing of Legionella pneumophila strains isolated in Greece by arbitrarily-primed PCR.
19963
18 20082
19 20092

About S. Alexiou‐Daniel

S. Alexiou‐Daniel is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Endocrinology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Vector-borne infectious diseases (5 papers), Legionella and Acanthamoeba research (4 papers), Bartonella species infections research (3 papers), Vector-Borne Animal Diseases (3 papers), Viral Infections and Outbreaks Research (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (71 citations), Infectious Diseases (203 citations), Parasitology (67 citations), Molecular Medicine (40 citations) and Global and Planetary Change (116 citations). S. Alexiou‐Daniel has collaborated with scholars based in Greece, Norway and United States. Frequent co-authors include Antonis Ántoniadis, Anna Papa, Stuart T. Nichol, Christina F. Spiropoulou, T J Rowbotham, Richard J. Birtles, R. Michel, D.G. Pitcher, Didier Raoult and K. Mandraveli. Their work appears in journals such as Clinical Microbiology and Infection, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Clinical Infectious Diseases, Journal of Medical Virology and Annals of the New York Academy of Sciences.

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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