Daniel Caballero

724 total citations · 1 hit paper
8 papers, 512 citations indexed

About

Daniel Caballero is a scholar working on Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Caballero has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 4 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Caballero's work include Parathyroid Disorders and Treatments (5 papers), RNA modifications and cancer (2 papers) and Muscle Physiology and Disorders (2 papers). Daniel Caballero is often cited by papers focused on Parathyroid Disorders and Treatments (5 papers), RNA modifications and cancer (2 papers) and Muscle Physiology and Disorders (2 papers). Daniel Caballero collaborates with scholars based in United States, China and Switzerland. Daniel Caballero's co-authors include Leonela Amoasii, Claire Massey, Richard J. Piercy, Thaleia‐Rengina Stathopoulou, John Hildyard, Rhonda Bassel‐Duby, Rachel Harron, Eric N. Olson, Hui Li and John M. Shelton and has published in prestigious journals such as Science, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Daniel Caballero

7 papers receiving 503 citations

Hit Papers

Gene editing restores dystrophin expression in a canine m... 2018 2026 2020 2023 2018 100 200 300

Peers

Daniel Caballero
Comparison fields: 5 of 64
  • Molecular Biology 390
  • Genetics 164
  • Nephrology 82
  • Cardiology and Cardiovascular Medicine 73
  • Physiology 37
Replace Chaoxia He with:
Chaoxia He United States
Ulf Drugge Sweden
F. Cailotto France
Keisuke Ina Japan
Xiomara Q. Rosales United States
Wenjun Yang China
Jill A. Rahnert United States
Т. Тодоров Bulgaria
Priscilla R. Prestes Australia
Hiroshi Imahie Japan
Chaoxia He United States View profile →
Citations per field, relative to Daniel Caballero
Daniel Caballero · 1×
Citations per year, relative to Daniel Caballero
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Countries citing papers authored by Daniel Caballero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Caballero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Caballero

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 0
2 5
3 17
4
Gene editing restores dystrophin expression in a canine model of Duchenne muscular dystrophy breakdown →
386
5 6
6 15
7 9
8 74

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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