John A. Alberta

6.3k citations
46 papers · 4.5k indexed · 1 hit paper · h-index 30

John A. Alberta

46 papers receiving 4.5k citations

Hit Papers

Sonic Hedgehog–Regulated Oligodendrocyte Lineage Genes En...6992000202620082017200400600

Peers

John A. Alberta
Comparison fields: 5 of 119
  • Developmental Neuroscience 1.5k
  • Genetics 974
  • Cancer Research 903
  • Cellular and Molecular Neuroscience 698
  • Molecular Biology 2.5k
Replace Till Acker with:
Till Acker Germany
Ichiro Nakano United States
Hervé Chneiweiss France
Kyeung Min Joo South Korea
Lionel M.L. Chow United States
Dionisio Martín‐Zanca Spain
Ansi Chang United States
Andreas Androutsellis‐Theotokis Germany
G. Labourdette France
Lin Cheng China
John A. Alberta relative to Till Acker Germany Till Acker's profile →
Citations per field
00.5×4.2×
Till Acker · 1×
Citations per year

Countries citing papers authored by John A. Alberta

Since Specialization
Citations

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

Fields of papers citing papers by John A. Alberta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Alberta. 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 John A. Alberta. The network helps show where John A. Alberta may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201871
2 201724
3 201649
4 201418
5 201193
6 2007378
7 2007109
8 2005146
9 20046
10 200177
11 199923
12
Detection of activated platelet-derived growth factor receptors in human meningioma.
199746
13 199776
14 1997136
15 1996147
16 199535
17 19958
18
Electroporation of peptides into adherent cells in situ.
199518
19 198919
20 19883

About John A. Alberta

John A. Alberta is a scholar working on Developmental Neuroscience, Cancer Research, Genetics, Molecular Biology and Cell Biology, having authored 46 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Glioma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (6 papers), Epigenetics and DNA Methylation (6 papers), RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Developmental Neuroscience (1.5k citations), Genetics (974 citations), Cancer Research (903 citations), Cellular and Molecular Neuroscience (698 citations) and Molecular Biology (2.5k citations). John A. Alberta has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Charles D. Stiles, David H. Rowitch, Keith L. Ligon, Inka Pawlitzky, Joanne Chan, Zhimin Zhu, Q. Richard Lu, David N. Louis, Andrew P. McMahon and Santosh Kesari. Their work appears in journals such as Journal of Biological Chemistry, Neuron, Journal of Neuroscience, Cancer Cell and Cell 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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