Maria Monastirioti

3.6k citations
24 papers · 2.9k indexed · 2 hit papers · h-index 18
Topics
Neurobiology and Insect Physiology Research (13 papers)Insect and Arachnid Ecology and Behavior (9 papers)Animal Behavior and Reproduction (4 papers)

In The Last Decade

Maria Monastirioti

24 papers receiving 2.8k citations

Hit Papers

Dopamine and octopamine differentiate between aversive an...200320262010201820032003200400600

Peers

Maria Monastirioti
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 2.2k
  • Genetics 1.2k
  • Insect Science 860
  • Ecology, Evolution, Behavior and Systematics 805
  • Molecular Biology 594
Replace Henrike Scholz with:
Henrike Scholz Germany
Troy Zars United States
Serge Birman France
Josh Dubnau United States
Kyung‐An Han United States
André Fiala Germany
Florence Friggi‐Grelin France
Andreas S. Thum Germany
J. Steven de Belle United States
Stephen F. Goodwin United Kingdom
Maria Monastirioti relative to Henrike Scholz Germany Henrike Scholz's profile →
Citations per field
00.5×
Henrike Scholz · 1×
Citations per year

Countries citing papers authored by Maria Monastirioti

Since Specialization
Citations

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

Fields of papers citing papers by Maria Monastirioti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Monastirioti

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Monastirioti. A scholar is included among the top collaborators of Maria Monastirioti 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 Maria Monastirioti. Maria Monastirioti 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 1
2 1
3 24
4 23
5 27
6 48
7 53
8 159
9 2
10 7
11 53
12 202
13 14
14 303
15 163
16 28
17 99
18 7
19 122
20 20

About Maria Monastirioti

Maria Monastirioti is a scholar working on Cellular and Molecular Neuroscience, Aging and Insect Science, having authored 24 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Aging (144 citations) and Insect Science (860 citations). Maria Monastirioti has collaborated with scholars based in Greece, United States and Bulgaria. Frequent co-authors include K. Andrew White, Charles E. Linn, Henrike Scholz, Serge Birman, Martin Heisenberg, Florence Friggi‐Grelin, Christos Louis, George Yannopoulos, Polydefkis Hatzopoulos and Michael Gorczyca. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Neuroscience.

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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