Ava J. Udvadia

1.4k citations
25 papers · 1.1k indexed · h-index 16
Topics
Nerve injury and regeneration (6 papers)Zebrafish Biomedical Research Applications (5 papers)Signaling Pathways in Disease (4 papers)
Partner nations
United StatesFrance

In The Last Decade

Ava J. Udvadia

23 papers receiving 1.1k citations

Peers

Ava J. Udvadia
Comparison fields: 5 of 89
  • Molecular Biology 719
  • Cell Biology 244
  • Oncology 167
  • Genetics 164
  • Cellular and Molecular Neuroscience 157
Replace Houyan Song with:
Houyan Song China
Eric C. Swindell United States
Esmond J. Sanders Canada
Peter M. Eimon United States
Stefan Vinckier Belgium
Jyotshnabala Kanungo United States
Thomas Hollemann Germany
Claire M. Schreiner United States
Fumihiko Hamada Japan
Valérie Fraulob France
Ava J. Udvadia relative to Houyan Song China Houyan Song's profile →
Citations per field
00.5×4.0×
Houyan Song · 1×
Citations per year

Countries citing papers authored by Ava J. Udvadia

Since Specialization
Citations

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

Fields of papers citing papers by Ava J. Udvadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ava J. Udvadia. 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 Ava J. Udvadia. The network helps show where Ava J. Udvadia may publish in the future.

Co-authorship network of co-authors of Ava J. Udvadia

This figure shows the co-authorship network connecting the top 25 collaborators of Ava J. Udvadia. A scholar is included among the top collaborators of Ava J. Udvadia 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 Ava J. Udvadia. Ava J. Udvadia 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 0
2 0
3 1
4 1
5 33
6 4
7 4
8 5
9 38
10 79
11 19
12 4
13 29
14 38
15 36
16 50
17 15
18 145
19 189
20
A common set of nuclear factors bind to promoter elements regulated by the retinoblastoma protein.
24

About Ava J. Udvadia

Ava J. Udvadia is a scholar working on Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Zebrafish Biomedical Research Applications (5 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Cell Biology (244 citations) and Molecular Biology (719 citations). Ava J. Udvadia has collaborated with scholars based in United States and France. Frequent co-authors include Jordan M. Horowitz, Elwood Linney, Dennis J. Templeton, Yoshihiko Murata, J. H. Pate Skene, Reinhard W. Köster, Karen H. Martin, Peter A. Humphrey, Peter Higgins and Hyun Gi Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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