Ana Martín-Villalba

8.5k citations
69 papers · 5.7k indexed · 3 hit papers · h-index 37

Ana Martín-Villalba

68 papers receiving 5.6k citations

Hit Papers

Single-Cell Transcriptomics Reveal...5361999202620082017100200300400500

Peers

Ana Martín-Villalba
Comparison fields: 5 of 124
  • Developmental Neuroscience 890
  • Neurology 1.0k
  • Cellular and Molecular Neuroscience 1.3k
  • Cancer Research 806
  • Molecular Biology 3.2k
Replace Stephen J. Crocker with:
Stephen J. Crocker United States
Paolo Guarnieri United States
Lijun Xu United States
Joan X. Comella Spain
Zinaida S. Vexler United States
Raya Eilam Israel
Eva‐Maria Krämer‐Albers Germany
Stefan Wiese Germany
Julia M. Edgar United Kingdom
Jacqueline Trotter Germany
Ana Martín-Villalba relative to Stephen J. Crocker United States Stephen J. Crocker's profile →
Citations per field
00.5×1.5×2.1×
Stephen J. Crocker · 1×
Citations per year

Countries citing papers authored by Ana Martín-Villalba

Since Specialization
Citations

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

Fields of papers citing papers by Ana Martín-Villalba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Martín-Villalba. 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 Ana Martín-Villalba. The network helps show where Ana Martín-Villalba may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202342
3 20225
4 201954
5 201921
6 201837
7 201836
8 201725
9 201673
10 201652
11 201643
12
Single-Cell Transcriptomics Reveals a Population of Dormant Neural Stem Cells that Become Activated upon Brain Injurybreakdown →
2015536
13 2011195
14 201123
15 200961
16 200937
17 200847
18 2005147
19
NF-κB is activated and promotes cell death in focal cerebral ischemiabreakdown →
1999570
20 199530

About Ana Martín-Villalba

Ana Martín-Villalba is a scholar working on Developmental Neuroscience, Structural Biology and Neurology, having authored 69 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Cell death mechanisms and regulation (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Immune cells in cancer (7 papers), Glioma Diagnosis and Treatment (6 papers), RNA Interference and Gene Delivery (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Developmental Neuroscience (890 citations), Neurology (1.0k citations) and Cellular and Molecular Neuroscience (1.3k citations). Ana Martín-Villalba has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Johannes Vogel, Enric Llorens-Bobadilla, Johannes Schenkel, Thomas Herdegen, Armin Schneider, Susanne Kleber, Markus Schwaninger, Thomas Wirth, Falk Weih and Sheng Zhao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

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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