Miguel Condés‐Lara

2.4k citations
89 papers · 1.9k indexed · h-index 25

Miguel Condés‐Lara

85 papers receiving 1.9k citations

Peers

Miguel Condés‐Lara
Comparison fields: 5 of 95
  • Social Psychology 974
  • Physiology 592
  • Cellular and Molecular Neuroscience 578
  • Endocrine and Autonomic Systems 552
  • Pharmacy 306
Replace Guadalupe Martı́nez-Lorenzana with:
Guadalupe Martı́nez-Lorenzana Mexico
Lesley Marson United States
Alexandre Charlet France
Marie José Freund‐Mercier France
Karl Ebner Austria
Irina Antonijevic Germany
Pawel Alster Sweden
Sarah S. Mosko United States
D. Bieger Canada
Joop J. van Heerikhuize Netherlands
Miguel Condés‐Lara relative to Guadalupe Martı́nez-Lorenzana Mexico Guadalupe Martı́nez-Lorenzana's profile →
Citations per field
00.5×1.6×
Guadalupe Martı́nez-Lorenzana · 1×
Citations per year

Countries citing papers authored by Miguel Condés‐Lara

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Condés‐Lara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Condés‐Lara. 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 Miguel Condés‐Lara. The network helps show where Miguel Condés‐Lara may publish in the future.

Co-authorship network of co-authors of Miguel Condés‐Lara

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Condés‐Lara. A scholar is included among the top collaborators of Miguel Condés‐Lara 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 Miguel Condés‐Lara. Miguel Condés‐Lara 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 0
2 1
3 0
4 0
5 3
6 30
7 3
8 67
9 2
10 8
11 8
12 35
13 20
14 10
15 114
16 61
17 11
18 17
19 3
20 20

About Miguel Condés‐Lara

Miguel Condés‐Lara is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (38 papers), Neuroendocrine regulation and behavior (37 papers) and Neuroscience and Neuropharmacology Research (20 papers). The work is most often cited by research in Endocrine and Autonomic Systems (552 citations), Behavioral Neuroscience (231 citations) and Pharmacy (306 citations). Miguel Condés‐Lara has collaborated with scholars based in Mexico, France and United States. Frequent co-authors include Guadalupe Martı́nez-Lorenzana, Gerardo Rojas‐Piloni, Jorge Rodríguez‐Jiménez, Marie José Freund‐Mercier, Abimael González‐Hernández, Mónica López‐Hidalgo, Luis Villanueva, Augusto Fernández‐Guardiola, Anthony H. Dickenson and José María Calvo. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

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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