Mėta M. Landys

20 total papers · 1.9k total citations
16 papers, 1.5k citations indexed

About

Mėta M. Landys is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Parasitology. According to data from OpenAlex, Mėta M. Landys has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, Evolution, Behavior and Systematics, 12 papers in Ecology and 5 papers in Parasitology. Recurrent topics in Mėta M. Landys's work include Avian ecology and behavior (12 papers), Animal Behavior and Reproduction (12 papers) and Bird parasitology and diseases (5 papers). Mėta M. Landys is often cited by papers focused on Avian ecology and behavior (12 papers), Animal Behavior and Reproduction (12 papers) and Bird parasitology and diseases (5 papers). Mėta M. Landys collaborates with scholars based in United States, Norway and Germany. Mėta M. Landys's co-authors include John C. Wingfield, Marilyn Ramenofsky, Wolfgang Goymann, Christopher G. Guglielmo, Tore Slagsvold, Theunis Piersma, Joop Jukema, Michael Raess, Ingrid Schwabl and M. Massot and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Experimental Biology and Hormones and Behavior.

In The Last Decade

Mėta M. Landys

16 papers receiving 1.5k citations

Hit Papers

Actions of glucocorticoid... 2006 2026 2012 2019 2006 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mėta M. Landys 1.2k 837 245 222 185 16 1.5k
Jerry D. Jacobs 1.1k 0.9× 802 1.0× 207 0.8× 228 1.0× 197 1.1× 13 1.8k
Ralph D. Richardson 889 0.8× 639 0.8× 179 0.7× 200 0.9× 189 1.0× 28 1.8k
Nikolaus von Engelhardt 1.1k 1.0× 767 0.9× 229 0.9× 82 0.4× 228 1.2× 32 1.6k
Haruka Wada 1.1k 0.9× 967 1.2× 198 0.8× 158 0.7× 187 1.0× 60 1.9k
Corine M. Eising 1.6k 1.4× 1.3k 1.6× 425 1.7× 150 0.7× 190 1.0× 26 2.1k
Arthur Goldsmith 1.2k 1.0× 821 1.0× 268 1.1× 134 0.6× 242 1.3× 36 1.8k
Ádám Z. Lendvai 1.3k 1.1× 1.1k 1.3× 295 1.2× 241 1.1× 192 1.0× 72 2.0k
Nicole E. Cyr 1.0k 0.9× 813 1.0× 190 0.8× 256 1.2× 287 1.6× 26 2.2k
John R. Speakman 1.0k 0.9× 1.2k 1.4× 95 0.4× 128 0.6× 165 0.9× 35 1.9k
Britt J. Heidinger 1.2k 1.0× 1.1k 1.3× 182 0.7× 100 0.5× 130 0.7× 61 2.2k

Countries citing papers authored by Mėta M. Landys

Since Specialization
Citations

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

Fields of papers citing papers by Mėta M. Landys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mėta M. Landys. 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 Mėta M. Landys. The network helps show where Mėta M. Landys may publish in the future.

Co-authorship network of co-authors of Mėta M. Landys

This figure shows the co-authorship network connecting the top 25 collaborators of Mėta M. Landys. A scholar is included among the top collaborators of Mėta M. Landys 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 Mėta M. Landys. Mėta M. Landys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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