Maryland Sanchez

26 total papers · 1.3k total citations
21 papers, 934 citations indexed

About

Maryland Sanchez is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Maryland Sanchez has authored 21 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 7 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Ecology. Recurrent topics in Maryland Sanchez's work include Ecology and Vegetation Dynamics Studies (8 papers), Plant and animal studies (6 papers) and Forest ecology and management (4 papers). Maryland Sanchez is often cited by papers focused on Ecology and Vegetation Dynamics Studies (8 papers), Plant and animal studies (6 papers) and Forest ecology and management (4 papers). Maryland Sanchez collaborates with scholars based in Brazil, United States and Germany. Maryland Sanchez's co-authors include Fernando Pedroni, F. N. Scatena, Whendee L. Silver, A. H. Johnson, Thomas G. Siccama, Clyde E. Asbury, D. Jean Lodge, Flavio Antônio Maës dos Santos, F. N. Scatena and Pedro V. Eisenlohr and has published in prestigious journals such as Plant and Soil, Biotropica and Ecosphere.

In The Last Decade

Maryland Sanchez

21 papers receiving 865 citations

Author Peers

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

Author Last Decade Papers Cites
Maryland Sanchez 444 308 288 253 190 21 934
Fernando Coronato 307 0.7× 187 0.6× 307 1.1× 216 0.9× 184 1.0× 27 834
S.C. Rose 514 1.2× 272 0.9× 310 1.1× 183 0.7× 94 0.5× 17 933
M. Taylor 413 0.9× 215 0.7× 280 1.0× 393 1.6× 166 0.9× 16 938
Marie‐Pascale Colace 509 1.1× 253 0.8× 267 0.9× 411 1.6× 147 0.8× 18 949
Xiaobao Deng 341 0.8× 281 0.9× 245 0.9× 414 1.6× 209 1.1× 44 1.1k
Martha Isabel Vallejo 624 1.4× 343 1.1× 222 0.8× 234 0.9× 106 0.6× 16 964
C. P. Kushwaha 253 0.6× 226 0.7× 197 0.7× 197 0.8× 278 1.5× 19 815
Jean‐Jacques Brun 373 0.8× 209 0.7× 333 1.2× 275 1.1× 300 1.6× 40 1.1k
Peter Mwangi 676 1.5× 371 1.2× 270 0.9× 305 1.2× 176 0.9× 27 1.2k
Jan‐Bernard Bouzillé 414 0.9× 194 0.6× 474 1.6× 183 0.7× 95 0.5× 38 856

Countries citing papers authored by Maryland Sanchez

Since Specialization
Citations

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

Fields of papers citing papers by Maryland Sanchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryland Sanchez

This figure shows the co-authorship network connecting the top 25 collaborators of Maryland Sanchez. A scholar is included among the top collaborators of Maryland Sanchez 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 Maryland Sanchez. Maryland Sanchez 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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