Nicholas Spanakis

31 papers receiving 1.0k citations

Peers

Nicholas Spanakis
Comparison fields: 5 of 78
  • Molecular Medicine 560
  • Applied Microbiology and Biotechnology 84
  • Endocrinology 203
  • Pollution 116
  • Clinical Biochemistry 62
Replace Evangelia‐Theophano Piperaki with:
Evangelia‐Theophano Piperaki Greece
Antonios N. Maniatis Greece
Kyoung Ho Roh South Korea
Elizabeth T. S. Houang United Kingdom
Sohei Harada Japan
Kyeong Seob Shin South Korea
Nam Hee Ryoo South Korea
Katalin Kristóf Hungary
Elif Aktaş Türkiye
Alberto Delgado‐Iribarren Spain
Nicholas Spanakis relative to Evangelia‐Theophano Piperaki Greece Evangelia‐Theophano Piperaki's profile →
Citations per field
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Evangelia‐Theophano Piperaki · 1×
Citations per year

Countries citing papers authored by Nicholas Spanakis

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Spanakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006103
2 200580
3 200879
4 201177
5 201674
6 200854
7 200945
8 200345
9 201942
10 200640
11 201039
12 200536
13 200733
14 200829
15 200726
16 201326
17 202224
18 200724
19 201722
20 200722

About Nicholas Spanakis

Nicholas Spanakis is a scholar working on Molecular Medicine, Epidemiology, Infectious Diseases, Endocrinology and Molecular Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Cytomegalovirus and herpesvirus research (4 papers), Parvovirus B19 Infection Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Infections and bacterial resistance (3 papers), Influenza Virus Research Studies (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Molecular Medicine (560 citations), Applied Microbiology and Biotechnology (84 citations), Endocrinology (203 citations), Pollution (116 citations) and Clinical Biochemistry (62 citations). Nicholas Spanakis has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Athanasios Tsakris, Spyros Pournaras, N.J. Legakis, Anastasia Konstantinidou, Aggeliki Poulou, Alexandros Ikonomidis, Antonios N. Maniatis, Evangelia Dimitroulia, Fani Markou and Vasiliki Koumaki. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, Microbial Drug Resistance, Journal of Clinical Microbiology and Journal of Medical Virology.

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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