Marios Arvanitis

3.4k citations
43 papers · 2.0k · h-index 20

Impact in

Papers in

Marios Arvanitis

41 papers receiving 2.0k citations

Peers

Marios Arvanitis
Comparison fields: 5 of 120
  • Microbiology 113
  • Applied Microbiology and Biotechnology 98
  • Molecular Medicine 260
  • Infectious Diseases 555
  • Endocrinology 88
Replace Harsimran Kaur with:
Harsimran Kaur India
Hua Zhou China
Constantinos Tsioutis Cyprus
Yoshinari Tanabe Japan
Qing Miao China
Bienvenido G. Yangco United States
Scott E. Evans United States
Li Gu China
Michael H. Woodworth United States
Gil Benard Brazil
Marios Arvanitis relative to Harsimran Kaur India Harsimran Kaur's profile →
Citations per field
00.5×4.7×
Harsimran Kaur · 1×
Citations per year

Countries citing papers authored by Marios Arvanitis

Since Specialization
Citations

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

Fields of papers citing papers by Marios Arvanitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016343
2 2014246
3 2019179
4 2013124
5 2014102
6 201394
7 202390
8 201578
9 201674
10 202066
11 201465
12 201864
13 201456
14 199649
15 202247
16 201746
17 201545
18 201442
19 201541
20 201428

About Marios Arvanitis

Marios Arvanitis is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Surgery and Epidemiology, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (8 papers), Genetic Associations and Epidemiology (7 papers), Fungal Infections and Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Bioinformatics and Genomic Networks (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Microbiology (113 citations), Applied Microbiology and Biotechnology (98 citations), Molecular Medicine (260 citations), Infectious Diseases (555 citations) and Endocrinology (88 citations). Marios Arvanitis has collaborated with scholars based in United States, Spain and Greece. Frequent co-authors include Eleftherios Mylonakis, Theodora Anagnostou, Styliani Karanika, Christos Grigoras, Theodoros Karantanos, Angela M. Caliendo, Beth Burgwyn Fuchs, Charles J. Lowenstein, Justin Glavis‐Bloom and Alexis Battle. Their work appears in journals such as Clinical Infectious Diseases, PLoS ONE, Circulation, Circulation Heart Failure and Blood Advances.

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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