Maria C. Saavedra

24 total papers · 1.0k total citations
17 papers, 771 citations indexed

About

Maria C. Saavedra is a scholar working on Cellular and Molecular Neuroscience, Infectious Diseases and Social Psychology. According to data from OpenAlex, Maria C. Saavedra has authored 17 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Infectious Diseases and 4 papers in Social Psychology. Recurrent topics in Maria C. Saavedra's work include Viral Infections and Outbreaks Research (5 papers), Neuropeptides and Animal Physiology (5 papers) and Viral Infections and Vectors (4 papers). Maria C. Saavedra is often cited by papers focused on Viral Infections and Outbreaks Research (5 papers), Neuropeptides and Animal Physiology (5 papers) and Viral Infections and Vectors (4 papers). Maria C. Saavedra collaborates with scholars based in United States, Czechia and Spain. Maria C. Saavedra's co-authors include Craige C. Wrenn, Jacqueline N. Crawley, Ashley P. Harris, Ronald D. Rogge, Jefferson W. Kinney, R. Falcoff, Silvana Levis, Delia Enría, Tiina P. Iismaa and Julio I. Maiztegui and has published in prestigious journals such as The Journal of Infectious Diseases, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Maria C. Saavedra

17 papers receiving 749 citations

Author Peers

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

Author Last Decade Papers Cites
Maria C. Saavedra 289 200 190 139 109 17 771
Claudio Zanettini 280 1.0× 217 1.1× 129 0.7× 60 0.4× 120 1.1× 30 819
Jessica Raper 273 0.9× 136 0.7× 157 0.8× 27 0.2× 197 1.8× 34 895
Carolyn J. Douglas 113 0.4× 217 1.1× 119 0.6× 88 0.6× 18 0.2× 22 888
Kristin C. Schutz 313 1.1× 129 0.6× 369 1.9× 137 1.0× 19 0.2× 21 865
Jamie Joseph 148 0.5× 42 0.2× 218 1.1× 28 0.2× 118 1.1× 17 765
Catherine E. Hagan 309 1.1× 47 0.2× 488 2.6× 105 0.8× 34 0.3× 15 832
Miguel A. Castellano 176 0.6× 193 1.0× 77 0.4× 32 0.2× 247 2.3× 27 719
Michael Nguyen 121 0.4× 115 0.6× 238 1.3× 14 0.1× 158 1.4× 26 843
Santiago Cuesta 161 0.6× 44 0.2× 366 1.9× 43 0.3× 43 0.4× 22 736
Marylou V. Solbrig 192 0.7× 38 0.2× 87 0.5× 199 1.4× 59 0.5× 33 771

Countries citing papers authored by Maria C. Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Maria C. Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria C. Saavedra

This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Saavedra. A scholar is included among the top collaborators of Maria C. Saavedra 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 C. Saavedra. Maria C. Saavedra 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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