George Tzertzinis

1.3k citations
33 papers · 907 indexed · h-index 17
Topics
Neurobiology and Insect Physiology Research (11 papers)Insect Utilization and Effects (8 papers)RNA and protein synthesis mechanisms (6 papers)

In The Last Decade

George Tzertzinis

32 papers receiving 886 citations

Peers

George Tzertzinis
Comparison fields: 5 of 72
  • Molecular Biology 482
  • Cellular and Molecular Neuroscience 397
  • Insect Science 277
  • Genetics 194
  • Ecology 115
Replace Kátia C. Gondim with:
Kátia C. Gondim Brazil
Christine Kappler France
A.G. de Bianchi Brazil
Andreas Dübendorfer Switzerland
James H. Sang United Kingdom
Rolf Ziegler United States
Young Seok Hong United States
Clément Carré France
Guoli Zhou China
Marcela Nouzová United States
George Tzertzinis relative to Kátia C. Gondim Brazil Kátia C. Gondim's profile →
Citations per field
00.5×1.5×
Kátia C. Gondim · 1×
Citations per year

Countries citing papers authored by George Tzertzinis

Since Specialization
Citations

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

Fields of papers citing papers by George Tzertzinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Tzertzinis

This figure shows the co-authorship network connecting the top 25 collaborators of George Tzertzinis. A scholar is included among the top collaborators of George Tzertzinis 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 George Tzertzinis. George Tzertzinis 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
#WorkIndexed citations
1 0
2 2
3 15
4 17
5 23
6 93
7 15
8 23
9 16
10 11
11 43
12 12
13 8
14 23
15 35
16 38
17 28
18 74
19 12
20 7

About George Tzertzinis

George Tzertzinis is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Biotechnology, having authored 33 papers that have together received 907 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (11 papers), Insect Utilization and Effects (8 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Insect Science (277 citations), Cellular and Molecular Neuroscience (397 citations) and Aging (25 citations). George Tzertzinis has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Fotis C. Kafatos, Tatiana Kozlova, James D. Sutherland, Andrzej Małecki, Tarlochan S. Dhadialla, Bijoyita Roy, Haruichi Asahara, Monica Z. Wu, Claude V. Maina and Subba Reddy Palli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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