Marios Spanakis

49 papers receiving 591 citations

Peers

Marios Spanakis
Comparison fields: 5 of 134
  • Geriatrics and Gerontology 77
  • Family Practice 27
  • Pharmacology 88
  • Toxicology 26
  • Complementary and alternative medicine 54
Replace Sivasankaran Ponnusankar with:
Sivasankaran Ponnusankar India
Maria Theresa E. Montales United States
Burgunda V. Sweet United States
Yow‐Wen Hsieh Taiwan
Abdulrahman M. Alahdal Saudi Arabia
Shashank Kraleti United States
Naveen Patil United States
Asween Marco United States
Heyam Saad Ali United Arab Emirates
Kevin Kuriakose United States
Marios Spanakis relative to Sivasankaran Ponnusankar India Sivasankaran Ponnusankar's profile →
Citations per field
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Sivasankaran Ponnusankar · 1×
Citations per year

Countries citing papers authored by Marios Spanakis

Since Specialization
Citations

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

Fields of papers citing papers by Marios Spanakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 200848
3 201041
4 200627
5 202323
6 201923
7 201622
8 201221
9 200621
10 201920
11 201320
12 200920
13 201519
14 202017
15 201815
16 202115
17 201613
18 201313
19 202512
20 200312

About Marios Spanakis

Marios Spanakis is a scholar working on Molecular Biology, Pharmacology, Geriatrics and Gerontology, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 616 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (6 papers), Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Analytical Methods in Pharmaceuticals (4 papers), Complementary and Alternative Medicine Studies (4 papers), Lanthanide and Transition Metal Complexes (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Geriatrics and Gerontology (77 citations), Family Practice (27 citations), Pharmacology (88 citations), Toxicology (26 citations) and Complementary and alternative medicine (54 citations). Marios Spanakis has collaborated with scholars based in Greece, United States and Russia. Frequent co-authors include Ioannis Niopas, Ioannis S. Vizirianakis, Emmanouil G. Spanakis, Athina Patelarou, Evridiki Patelarou, Vangelis Sakkalis, Dimitrios G. Fatouros, Stelios Sfakianakis, Kostas Marias and Maria Papadopouli. Their work appears in journals such as International Journal of Environmental Research and Public Health, Biomedical Chromatography, Journal of Personalized Medicine, Journal of Pharmaceutical Sciences and Pharmacology.

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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