Carmen Saltó

2.6k citations
16 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Carmen Saltó

16 papers receiving 1.8k citations

Carmen Saltó's Hit Papers

Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells 2016 · 531 citations
5310+3+6Years since publication100200300400500

Peers

Carmen Saltó
Comparison fields: 5 of 95
  • Developmental Neuroscience 229
  • Cellular and Molecular Neuroscience 613
  • Molecular Biology 1.2k
  • Endocrinology, Diabetes and Metabolism 268
  • Neurology 113
Replace François Lallemend with:
François Lallemend Sweden
G. Giacomo Consalez Italy
Gad D. Vatine Israel
Brian G. Condie United States
Till Marquardt Germany
Takahiro Gotow Japan
Julian Ik‐Tsen Heng Australia
Hoonkyo Suh United States
Max A. Tischfield United States
Carmen Saltó relative to François Lallemend Sweden François Lallemend's profile →
Citations per field
00.5×5.7×
François Lallemend · 1×
Citations per year

Countries citing papers authored by Carmen Saltó

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Saltó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells
Hit paper breakdown →
2016531
2 2001439
3 2008133
4 2002113
5 2010113
6 2012107
7 2013104
8 200183
9 200876
10 201749
11 201629
12 201218
13 200716
14 201815
15 202213
16 201512

About Carmen Saltó

Carmen Saltó is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Nuclear Receptors and Signaling (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Single-cell and spatial transcriptomics (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (229 citations), Cellular and Molecular Neuroscience (613 citations), Molecular Biology (1.2k citations), Endocrinology, Diabetes and Metabolism (268 citations) and Neurology (113 citations). Carmen Saltó has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Ernest Arenas, Björn Vennström, Douglas Forrest, James B. Hurley, Thomas A. Reh, Maya Srinivas, Lily Ng, Enrique M. Toledo, Daniel Gyllborg and Kaneyasu Nishimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Endocrinology, SpringerPlus, British Journal of Cancer and Scientific Reports.

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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