Inés Carrera

66 papers receiving 1.6k citations

Peers

Inés Carrera
Comparison fields: 5 of 111
  • Aging 279
  • Small Animals 210
  • Equine 35
  • Endocrine and Autonomic Systems 111
  • Cancer Research 151
Replace Justin C. St. John with:
Justin C. St. John Australia
A. Iritani Japan
Sabine Chahory France
Michael Cheeseman United Kingdom
Manabu Ozawa Japan
Henry J. Baker United States
Tomoji Mashimo Japan
Fernando Pardo-Manuel de Villena United States
Toshihiro Matsui Japan
Inés Carrera relative to Justin C. St. John Australia Justin C. St. John's profile →
Citations per field
00.5×10×13.1×
Justin C. St. John · 1×
Citations per year

Countries citing papers authored by Inés Carrera

Since Specialization
Citations

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

Fields of papers citing papers by Inés Carrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inés Carrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inés Carrera Line = papers co-authored together Inés Carrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007220
2 2009144
3 1998115
4 2015109
5 2008108
6 201094
7 200967
8 200848
9 201046
10 202045
11 201042
12 201940
13 200836
14 201735
15 201224
16 201122
17 201422
18 202122
19 200820
20 201418

About Inés Carrera

Inés Carrera is a scholar working on Small Animals, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (15 papers), Spinal Dysraphism and Malformations (8 papers), Veterinary Oncology Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Liver Disease and Transplantation (4 papers), Neurological diseases and metabolism (3 papers), Infectious Encephalopathies and Encephalitis (3 papers) and Veterinary Equine Medical Research (3 papers). The work is most often cited by research in Aging (279 citations), Small Animals (210 citations), Equine (35 citations), Endocrine and Autonomic Systems (111 citations) and Cancer Research (151 citations). Inés Carrera has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Oliver Hobert, Jessica E. Treisman, Nikolaos Stefanakis, Martin Sullivan, Stephen M. Cohen, Valérie Hilgers, Baris Tursun, Luisa Cochella, Patrick R. Kircher and Fabien Duveau. Their work appears in journals such as Frontiers in Veterinary Science, Veterinary Radiology & Ultrasound, American Journal of Veterinary Research, Veterinary and Comparative Orthopaedics and Traumatology 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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