Renata Leke

33 total papers · 1.1k total citations
22 papers, 859 citations indexed

About

Renata Leke is a scholar working on Cellular and Molecular Neuroscience, Hepatology and Molecular Biology. According to data from OpenAlex, Renata Leke has authored 22 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 6 papers in Hepatology and 5 papers in Molecular Biology. Recurrent topics in Renata Leke's work include Neuroscience and Neuropharmacology Research (10 papers), Liver Disease and Transplantation (6 papers) and Adenosine and Purinergic Signaling (5 papers). Renata Leke is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Liver Disease and Transplantation (6 papers) and Adenosine and Purinergic Signaling (5 papers). Renata Leke collaborates with scholars based in Brazil, Denmark and Sweden. Renata Leke's co-authors include Luis Valmor Portela, Diogo O. Souza, Arne Schousboe, Diogo R. Lara, Gustavo L. Ottoni, Flávio Kapczinski, Lasse K. Bak, Helle S. Waagepetersen, Marcelo O. Dietrich and Rodrigo Machado‐Vieira and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Brain Research.

In The Last Decade

Renata Leke

22 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Renata Leke 348 218 187 141 128 22 859
Guido Straten 346 1.0× 282 1.3× 117 0.6× 67 0.5× 194 1.5× 15 914
A‐Min Huang 409 1.2× 254 1.2× 118 0.6× 168 1.2× 227 1.8× 20 1.0k
J. O’Grady 127 0.4× 126 0.6× 128 0.7× 63 0.4× 73 0.6× 29 738
Isabelle Leroux‐Nicollet 599 1.7× 344 1.6× 52 0.3× 96 0.7× 92 0.7× 40 1.0k
Hans‐J. Bidmon 301 0.9× 257 1.2× 93 0.5× 98 0.7× 74 0.6× 27 813
Clare Wilhelm 298 0.9× 208 1.0× 74 0.4× 114 0.8× 30 0.2× 43 899
Johannes Wildmann 400 1.1× 236 1.1× 48 0.3× 85 0.6× 41 0.3× 29 857
Guohong Cai 345 1.0× 311 1.4× 29 0.2× 128 0.9× 51 0.4× 38 1.0k
Dian-Shi Wang 379 1.1× 224 1.0× 59 0.3× 117 0.8× 243 1.9× 35 925
M.B. Hesselink 665 1.9× 403 1.8× 104 0.6× 128 0.9× 45 0.4× 30 954

Countries citing papers authored by Renata Leke

Since Specialization
Citations

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

Fields of papers citing papers by Renata Leke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Leke

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