Felipe Baeza‐Lehnert

1.5k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Mitochondrial Function and Pathology (9 papers)Neuroscience and Neuropharmacology Research (9 papers)Photoreceptor and optogenetics research (5 papers)

In The Last Decade

Felipe Baeza‐Lehnert

15 papers receiving 1.1k citations

Hit Papers

In Vivo Evidence for a Lactate Gradient from Astrocytes t...20152026201820222015100200300400

Peers

Felipe Baeza‐Lehnert
Comparison fields: 5 of 86
  • Molecular Biology 606
  • Cellular and Molecular Neuroscience 428
  • Physiology 221
  • Neurology 192
  • Cancer Research 146
Replace Rodrigo Lerchundi with:
Rodrigo Lerchundi Chile
Alejandro San Martín Chile
Marc Zuend Switzerland
Iván Ruminot Chile
Liyi Li China
Shu‐Hsien Sheu United States
Karin Alegría Chile
Rebecca Mongeon United States
Caroline G. Bergner Germany
Felipe Baeza‐Lehnert relative to Rodrigo Lerchundi Chile Rodrigo Lerchundi's profile →
Citations per field
00.5×1.6×
Rodrigo Lerchundi · 1×
Citations per year

Countries citing papers authored by Felipe Baeza‐Lehnert

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Baeza‐Lehnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe Baeza‐Lehnert. 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 Felipe Baeza‐Lehnert. The network helps show where Felipe Baeza‐Lehnert may publish in the future.

Co-authorship network of co-authors of Felipe Baeza‐Lehnert

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 12
5 13
6 16
7 1
8 59
9 135
10 75
11 34
12
In Vivo Evidence for a Lactate Gradient from Astrocytes to Neuronsbreakdown →
424
13 65
14 140
15 44
16 49

About Felipe Baeza‐Lehnert

Felipe Baeza‐Lehnert is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cancer Research, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (428 citations), Neurology (192 citations) and Developmental Neuroscience (84 citations). Felipe Baeza‐Lehnert has collaborated with scholars based in Chile, Germany and United States. Frequent co-authors include L. Felipe Barros, Alejandro San Martín, Karin Alegría, Yasna Contreras‐Baeza, Rodrigo Lerchundi, Jillian L. Stobart, Bruno Weber, Philipp Mächler, Matthias T. Wyss and Ignacio Fernández‐Moncada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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