N.J. Legakis

7.6k citations
187 papers · 5.1k indexed · h-index 40

N.J. Legakis

183 papers receiving 4.8k citations

Peers

N.J. Legakis
Comparison fields: 5 of 127
  • Molecular Medicine 2.6k
  • Applied Microbiology and Biotechnology 499
  • Endocrinology 1.1k
  • Clinical Biochemistry 411
  • Infectious Diseases 973
Replace Panayotis T. Tassios with:
Panayotis T. Tassios Greece
Christophe de Champs France
Tyrone L. Pitt United Kingdom
Ferrán Navarro Spain
Dominique Decré France
Marie-Hélène Nicolas-Chanoine France
J. Sirot France
Patricia Winokur United States
Chang‐Phone Fung Taiwan
Satoshi Ichiyama Japan
N.J. Legakis relative to Panayotis T. Tassios Greece Panayotis T. Tassios's profile →
Citations per field
00.5×
Panayotis T. Tassios · 1×
Citations per year

Countries citing papers authored by N.J. Legakis

Since Specialization
Citations

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

Fields of papers citing papers by N.J. Legakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.J. Legakis. 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 N.J. Legakis. The network helps show where N.J. Legakis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200710
2 200485
3 200362
4 20039
5 200310
6 200317
7 200283
8 200141
9 200117
10 200133
11 19995
12 199910
13 199926
14 19981
15 19983
16 199824
17 19977
18 199614
19 19955
20 199075

About N.J. Legakis

N.J. Legakis is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 187 papers that have together received 5.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (86 papers), Antibiotics Pharmacokinetics and Efficacy (28 papers), Bacterial biofilms and quorum sensing (27 papers), Pneumonia and Respiratory Infections (26 papers), Antimicrobial Resistance in Staphylococcus (22 papers), Bacterial Identification and Susceptibility Testing (20 papers), Salmonella and Campylobacter epidemiology (16 papers) and Streptococcal Infections and Treatments (14 papers). The work is most often cited by research in Molecular Medicine (2.6k citations), Applied Microbiology and Biotechnology (499 citations) and Endocrinology (1.1k citations). N.J. Legakis has collaborated with scholars based in Greece, United States and France. Frequent co-authors include L. S. Tzouvelekis, Panayotis T. Tassios, Εva Tzelepi, Athanasios Tsakris, Alkiviadis Vatopoulos, Patricia Winokur, Rafael Cantón, Aristea Velegraki, Antonios N. Maniatis and Vivì Miriagou. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents and European Journal of Clinical Microbiology & Infectious Diseases.

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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