Athanasios Tsakris

461 papers receiving 13.6k citations

Athanasios Tsakris's Hit Papers

Data-based analysis, modelling and forecasting of the COVID-19 outbreak 2020 · 586 citations
5860+2+4Years since publication100200300400500

Peers

Athanasios Tsakris
Comparison fields: 5 of 190
  • Molecular Medicine 7.0k
  • Applied Microbiology and Biotechnology 1.3k
  • Endocrinology 2.4k
  • Clinical Biochemistry 1.4k
  • Infectious Diseases 2.9k
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Citations per year

Countries citing papers authored by Athanasios Tsakris

Since Specialization
Citations

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

Fields of papers citing papers by Athanasios Tsakris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 484 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-based analysis, modelling and forecasting of the COVID-19 outbreak
Hit paper breakdown →
2020586
2 2012425
3 2017417
4 2011372
5 2010308
6 2000226
7 2010209
8 2000174
9 2021145
10 2008144
11 2006141
12 2011139
13 2009138
14 2020132
15 2009129
16 2012125
17 2015125
18 2019115
19 2015114
20 2018112

About Athanasios Tsakris

Athanasios Tsakris is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Epidemiology and Clinical Biochemistry, having authored 484 papers that have together received 14.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (165 papers), Bacterial Identification and Susceptibility Testing (41 papers), Antimicrobial Resistance in Staphylococcus (40 papers), Antibiotics Pharmacokinetics and Efficacy (36 papers), Bacterial biofilms and quorum sensing (34 papers), Pneumonia and Respiratory Infections (30 papers), Antibiotic Use and Resistance (27 papers) and Enterobacteriaceae and Cronobacter Research (25 papers). The work is most often cited by research in Molecular Medicine (7.0k citations), Applied Microbiology and Biotechnology (1.3k citations), Endocrinology (2.4k citations), Clinical Biochemistry (1.4k citations) and Infectious Diseases (2.9k citations). Athanasios Tsakris has collaborated with scholars based in Greece, United States and Italy. Frequent co-authors include Spyros Pournaras, Cleo G. Anastassopoulou, Aggeliki Poulou, Georgia Vrioni, Nicholas Spanakis, Evangelia Voulgari, Antonios N. Maniatis, Raffaele Zarrilli, Maria Giannouli and Lucía Russo. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy and Antibiotics.

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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