Inês Cabrita

1.2k citations
31 papers · 987 · h-index 18

Impact in

Papers in

Inês Cabrita

30 papers receiving 984 citations

Peers

Inês Cabrita
Comparison fields: 5 of 90
  • Sensory Systems 125
  • Pulmonary and Respiratory Medicine 302
  • Molecular Biology 623
  • Cellular and Molecular Neuroscience 132
  • Physiology 164
Replace Diana Faria with:
Diana Faria Germany
Brian J. Siroky United States
Leila Romio Italy
Omar A. Itani United States
Teizo Ito Japan
Shobha Ratnam United States
Elly Verbeek Netherlands
John Rendu France
Robert Tyszkowski United States
JT den Dunnen Netherlands
Inês Cabrita relative to Diana Faria Germany Diana Faria's profile →
Citations per field
00.5×4.4×
Diana Faria · 1×
Citations per year

Countries citing papers authored by Inês Cabrita

Since Specialization
Citations

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

Fields of papers citing papers by Inês Cabrita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inês Cabrita, 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 Inês Cabrita Line = papers co-authored together Inês Cabrita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201880
3 201973
4 201968
5 201964
6 201560
7 202057
8 202045
9 202044
10 201644
11 201639
12 201639
13 201735
14 201931
15 202030
16 201628
17 202024
18 202122
19 202117
20 202216

About Inês Cabrita

Inês Cabrita is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 987 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (10 papers), Ion channel regulation and function (9 papers), Neonatal Respiratory Health Research (6 papers), Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Asthma and respiratory diseases (5 papers), Respiratory and Cough-Related Research (5 papers) and Biomedical Research and Pathophysiology (3 papers). The work is most often cited by research in Sensory Systems (125 citations), Pulmonary and Respiratory Medicine (302 citations), Molecular Biology (623 citations), Cellular and Molecular Neuroscience (132 citations) and Physiology (164 citations). Inês Cabrita has collaborated with scholars based in Germany, Portugal and United States. Frequent co-authors include Rainer Schreiber, Karl Kunzelmann, Roberta Di Benedetto, Jiraporn Ousingsawat, Podchanart Wanitchakool, Lalida Sirianant, Bjoern Buchholz, Andre Kraus, Boris V. Skryabin and Hermann Pavenstädt. Their work appears in journals such as International Journal of Molecular Sciences, Pflügers Archiv - European Journal of Physiology, The FASEB Journal, Frontiers in Physiology and Journal of Molecular Medicine.

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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