Juan Pérez‐Fernández

843 citations
23 papers · 508 indexed · h-index 14
Topics
Zebrafish Biomedical Research Applications (9 papers)Retinal Development and Disorders (7 papers)Neurobiology and Insect Physiology Research (6 papers)
Partner nations
SwedenSpainGermany

In The Last Decade

Juan Pérez‐Fernández

22 papers receiving 506 citations

Peers

Juan Pérez‐Fernández
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 260
  • Cognitive Neuroscience 193
  • Cell Biology 164
  • Molecular Biology 150
  • Sensory Systems 65
Replace Shreyas M. Suryanarayana with:
Shreyas M. Suryanarayana Sweden
Jesper Ericsson Sweden
Mark J. Tunstall New Zealand
Jennifer L. Hoy United States
Masae Kinoshita Japan
Matthew F. Cuttle United Kingdom
Andrew Miri United States
Ann M. Clemens United States
Olexiy Kochubey Switzerland
Allert J. Jonker Netherlands
Juan Pérez‐Fernández relative to Shreyas M. Suryanarayana Sweden Shreyas M. Suryanarayana's profile →
Citations per field
00.5×1.5×1.8×
Shreyas M. Suryanarayana · 1×
Citations per year

Countries citing papers authored by Juan Pérez‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Juan Pérez‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Pérez‐Fernández. 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 Juan Pérez‐Fernández. The network helps show where Juan Pérez‐Fernández may publish in the future.

Co-authorship network of co-authors of Juan Pérez‐Fernández

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 19
5 10
6 17
7 19
8 46
9 38
10 27
11 25
12 40
13 12
14 40
15 51
16 4
17 7
18 29
19 18
20 3

About Juan Pérez‐Fernández

Juan Pérez‐Fernández is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 23 papers that have together received 508 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Retinal Development and Disorders (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Sensory Systems (65 citations) and Cell Biology (164 citations). Juan Pérez‐Fernández has collaborated with scholars based in Sweden, Spain and Germany. Frequent co-authors include Sten Grillner, Brita Robertson, Shreyas M. Suryanarayana, Andreas A. Kardamakis, Marcus Stephenson‐Jones, Daichi G. Suzuki, Jesper Ericsson, Manuel Megı́as, Manuel A. Pombal and Gilad Silberberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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