Leda Kovatsi

3.0k total citations
76 papers, 2.0k citations indexed

About

Leda Kovatsi is a scholar working on Molecular Biology, Pharmacology and Toxicology. According to data from OpenAlex, Leda Kovatsi has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Pharmacology and 10 papers in Toxicology. Recurrent topics in Leda Kovatsi's work include Epigenetics and DNA Methylation (13 papers), Forensic Toxicology and Drug Analysis (10 papers) and Forensic and Genetic Research (5 papers). Leda Kovatsi is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Forensic Toxicology and Drug Analysis (10 papers) and Forensic and Genetic Research (5 papers). Leda Kovatsi collaborates with scholars based in Greece, United States and Romania. Leda Kovatsi's co-authors include Aristidis Tsatsakis, Wojciech Branicki, Manfred Kayser, Susan Walsh, Fan Liu, Victoria Samanidou, Domniki Fragou, Samuel Njau, Andreas Wollstein and Sofia Kouidou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neuroscience.

In The Last Decade

Leda Kovatsi

73 papers receiving 1.9k citations

Peers

Leda Kovatsi
Comparison fields: 5 of 155
  • Molecular Biology 707
  • Genetics 454
  • Health, Toxicology and Mutagenesis 243
  • Cell Biology 194
  • Plant Science 188
Replace Hiroshi Shiono with:
Hiroshi Shiono Japan
Madhusudan Das India
Marco Cerbón Mexico
M. Yamamoto Japan
Giuseppe Tringali Italy
Song‐Kun Shyue Taiwan
Jun Yao China
Stefan A. Wudy Germany
Catherine Au United Kingdom
Panagiotis Polychronopoulos Greece
Hiroshi Shiono Japan View profile →
Citations per field, relative to Leda Kovatsi
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Citations per year, relative to Leda Kovatsi
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Countries citing papers authored by Leda Kovatsi

Since Specialization
Citations

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

Fields of papers citing papers by Leda Kovatsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leda Kovatsi

This figure shows the co-authorship network connecting the top 25 collaborators of Leda Kovatsi. A scholar is included among the top collaborators of Leda Kovatsi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leda Kovatsi. Leda Kovatsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 10
4 7
5 5
6 38
7 25
8 7
9 27
10 140
11 16
12 12
13 33
14 54
15 272
16 41
17 6
18
New trends in drug abuse coming from USA
1
19
The effect of oral Aspartame administration on the excretion and the distribution of calcium in rat tissues
0
20 3

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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