Nickolas A. Lavidis

1.6k total citations
60 papers, 1.3k citations indexed

About

Nickolas A. Lavidis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Nickolas A. Lavidis has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 14 papers in Behavioral Neuroscience. Recurrent topics in Nickolas A. Lavidis's work include Stress Responses and Cortisol (14 papers), Cellular transport and secretion (14 papers) and Neurobiology and Insect Physiology Research (12 papers). Nickolas A. Lavidis is often cited by papers focused on Stress Responses and Cortisol (14 papers), Cellular transport and secretion (14 papers) and Neurobiology and Insect Physiology Research (12 papers). Nickolas A. Lavidis collaborates with scholars based in Australia, United Kingdom and United States. Nickolas A. Lavidis's co-authors include Jereme G. Spiers, Hsiao‐Jou Cortina Chen, Conrad Sernia, Peter G. Noakes, Mark C. Bellingham, Karen M. Moritz, Carlie L. Cullen, Thomas H.J. Burne, Matthew J. Fogarty and Kirat K. Chand and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Nickolas A. Lavidis

60 papers receiving 1.3k citations

Peers

Nickolas A. Lavidis
Comparison fields: 5 of 116
  • Molecular Biology 403
  • Cellular and Molecular Neuroscience 341
  • Neurology 213
  • Behavioral Neuroscience 201
  • Physiology 199
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Citations per field, relative to Nickolas A. Lavidis
Nickolas A. Lavidis · 1×
Citations per year, relative to Nickolas A. Lavidis
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Countries citing papers authored by Nickolas A. Lavidis

Since Specialization
Citations

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

Fields of papers citing papers by Nickolas A. Lavidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nickolas A. Lavidis. 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 Nickolas A. Lavidis. The network helps show where Nickolas A. Lavidis may publish in the future.

Co-authorship network of co-authors of Nickolas A. Lavidis

This figure shows the co-authorship network connecting the top 25 collaborators of Nickolas A. Lavidis. A scholar is included among the top collaborators of Nickolas A. Lavidis 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 Nickolas A. Lavidis. Nickolas A. Lavidis 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 10
2 7
3 4
4 6
5 3
6 64
7 29
8 31
9 37
10 38
11 230
12 16
13 30
14 86
15 7
16 20
17 9
18 9
19 9
20 10

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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