Nicholas Gaiano

10.1k citations
50 papers · 7.9k indexed · 3 hit papers · h-index 34
Topics
Neurogenesis and neuroplasticity mechanisms (24 papers)Developmental Biology and Gene Regulation (23 papers)Epigenetics and DNA Methylation (12 papers)

In The Last Decade

Nicholas Gaiano

49 papers receiving 7.8k citations

Hit Papers

Dll4 signalling through Notch1 regulates formation of tip...20002026200820172007200520004008001.2k

Peers

Nicholas Gaiano
Comparison fields: 5 of 135
  • Molecular Biology 6.0k
  • Developmental Neuroscience 2.0k
  • Cellular and Molecular Neuroscience 1.3k
  • Cell Biology 1.2k
  • Cancer Research 1.1k
Replace Larysa Pevny with:
Larysa Pevny United States
Gerry Weinmaster United States
Lukas Sommer Switzerland
Bruce T. Schaar United States
Dies Meijer Netherlands
David L. Turner United States
Bennett G. Novitch United States
Toshiyuki Ohtsuka Japan
Alessandro Bulfone Italy
Johan Ericson Sweden
Nicholas Gaiano relative to Larysa Pevny United States Larysa Pevny's profile →
Citations per field
00.5×1.5×
Larysa Pevny · 1×
Citations per year

Countries citing papers authored by Nicholas Gaiano

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Gaiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Gaiano

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 58
2 197
3 29
4 166
5 289
6 165
7 143
8 4
9 5
10 27
11 106
12 59
13 13
14
Dll4 signalling through Notch1 regulates formation of tip cells during angiogenesisbreakdown →
1328
15 209
16 82
17 147
18 91
19 145
20 228

About Nicholas Gaiano

Nicholas Gaiano is a scholar working on Developmental Neuroscience, Molecular Biology and Cancer Research, having authored 50 papers that have together received 7.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (24 papers), Developmental Biology and Gene Regulation (23 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Developmental Neuroscience (2.0k citations), Molecular Biology (6.0k citations) and Cell Biology (1.2k citations). Nicholas Gaiano has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gord Fishell, Keejung Yoon, Jeffrey S. Nye, Tarran J. Pierfelice, Nancy Hopkins, Lavinia Albéri, Jackie D. Corbin, Louis T. Dang, Akinori Tokunaga and Miguel L. Allende. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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