Verónica Palma

2.8k citations
66 papers · 2.2k · h-index 24

Impact in

Papers in

Verónica Palma

63 papers receiving 2.1k citations

Peers

Verónica Palma
Comparison fields: 5 of 117
  • Developmental Neuroscience 297
  • Genetics 267
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 247
  • Genetics 303
Replace B. Matthew Fagan with:
B. Matthew Fagan United States
Yoko Nabeshima Japan
Rick I. Cohen United States
Mekayla A. Storer Canada
Zhengliang Gao China
Jack T. Mosher United States
Boris Kablar Canada
Julie A. Siegenthaler United States
Alexandra Rolletschek Germany
Sheila M. Bell United States
Verónica Palma relative to B. Matthew Fagan United States B. Matthew Fagan's profile →
Citations per field
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B. Matthew Fagan · 1×
Citations per year

Countries citing papers authored by Verónica Palma

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001417
2 2002310
3 2003232
4 2003108
5 201470
6 201765
7 200653
8 201852
9 201246
10 201540
11 201739
12 199934
13 200131
14 201830
15 202130
16 201130
17 201529
18 201627
19 201227
20 201525

About Verónica Palma

Verónica Palma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Genetics, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (18 papers), Epigenetics and DNA Methylation (11 papers), Axon Guidance and Neuronal Signaling (10 papers), Developmental Biology and Gene Regulation (9 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Adipose Tissue and Metabolism (4 papers), Mesenchymal stem cell research (4 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (297 citations), Genetics (267 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (247 citations) and Genetics (303 citations). Verónica Palma has collaborated with scholars based in Chile, United States and Brazil. Frequent co-authors include Ariel Ruiz i Altaba, Nadia Dahmane, Pilar Sánchez‐Gómez, Mercedes Beyna, Yorick Gitton, Howard L. Weiner, Pablo Lois, Catalina P. Prieto, Manuel Kukuljan and Isaac Peña‐Villalobos. Their work appears in journals such as Frontiers in Physiology, Scientific Reports, Frontiers in Cellular Neuroscience, Stem Cell Research & Therapy and Biological 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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