Cristina Lemos

32 total papers · 1.1k total citations
27 papers, 934 citations indexed

About

Cristina Lemos is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Surgery. According to data from OpenAlex, Cristina Lemos has authored 27 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 8 papers in Pharmacology and 6 papers in Surgery. Recurrent topics in Cristina Lemos's work include Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Pancreatic function and diabetes (6 papers). Cristina Lemos is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Pancreatic function and diabetes (6 papers). Cristina Lemos collaborates with scholars based in Portugal, Brazil and Austria. Cristina Lemos's co-authors include Rodrigo A. Cunha, Francisco Q. Gonçalves, Paula Agostinho, Daniel Rial, Nélio Gonçalves, Paula M. Canas, Rui Daniel Prediger, Attila Köfalvi, Joana I. Real and Henrique B. Silva and has published in prestigious journals such as Nature Communications, Journal of Applied Physiology and International Journal of Molecular Sciences.

In The Last Decade

Cristina Lemos

26 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Cristina Lemos 365 277 266 256 199 27 934
Henrique B. Silva 436 1.2× 234 0.8× 242 0.9× 430 1.7× 276 1.4× 37 1.1k
Francisco Q. Gonçalves 464 1.3× 247 0.9× 401 1.5× 527 2.1× 285 1.4× 30 1.2k
Vânia L. Batalha 258 0.7× 184 0.7× 185 0.7× 239 0.9× 215 1.1× 17 824
Oscar Phelippe Permigotti Dall'Igna 252 0.7× 189 0.7× 133 0.5× 229 0.9× 251 1.3× 15 838
Gisele Hansel 302 0.8× 179 0.6× 229 0.9× 191 0.7× 278 1.4× 45 980
Daniele Lana 309 0.8× 247 0.9× 481 1.8× 92 0.4× 287 1.4× 35 1.0k
Tsvetan Serchov 291 0.8× 114 0.4× 136 0.5× 212 0.8× 238 1.2× 31 916
Marcos Emílio Frizzo 594 1.6× 154 0.6× 145 0.5× 276 1.1× 494 2.5× 31 1.2k
Samira G. Ferreira 386 1.1× 100 0.4× 167 0.6× 238 0.9× 161 0.8× 33 823
G. Zsilla 763 2.1× 162 0.6× 122 0.5× 166 0.6× 482 2.4× 38 1.2k

Countries citing papers authored by Cristina Lemos

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Lemos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Lemos

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