David Fashena

1.9k citations
12 papers · 549 indexed · 1 hit paper · h-index 8
Topics
Biomedical Text Mining and Ontologies (8 papers)Bioinformatics and Genomic Networks (6 papers)Genetics, Bioinformatics, and Biomedical Research (5 papers)
Partner nations
United States

In The Last Decade

David Fashena

11 papers receiving 543 citations

Hit Papers

Zebrafish information network, the knowledgebase for Dani...20222026202320242022255075100

Peers

David Fashena
Comparison fields: 5 of 79
  • Molecular Biology 343
  • Cell Biology 173
  • Genetics 78
  • Sensory Systems 66
  • Ecology 55
Replace Shuh‐Yow Lin with:
Shuh‐Yow Lin United States
Tor Linbo United States
Elly M. Sweet United States
Hye‐Joo Kwon United States
Illar Pata Estonia
Javier Francisco‐Morcillo Spain
Joaquín Navajas Acedo United States
Elisabeth Wagner United States
Keely S. Solomon United States
Huiqing Zhan United States
David Fashena relative to Shuh‐Yow Lin United States Shuh‐Yow Lin's profile →
Citations per field
00.5×5.6×
Shuh‐Yow Lin · 1×
Citations per year

Countries citing papers authored by David Fashena

Since Specialization
Citations

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

Fields of papers citing papers by David Fashena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fashena

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 4
3
Zebrafish information network, the knowledgebase for Danio rerio researchbreakdown →
114
4 10
5 98
6 9
7 6
8 62
9 53
10 4
11 67
12 122

About David Fashena

David Fashena is a scholar working on Sensory Systems, Molecular Biology and Cell Biology, having authored 12 papers that have together received 549 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Bioinformatics and Genomic Networks (6 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). The work is most often cited by research in Sensory Systems (66 citations), Developmental Neuroscience (44 citations) and Cell Biology (173 citations). David Fashena has collaborated with scholars based in United States. Frequent co-authors include Monte Westerfield, Leyla Ruzicka, Douglas G. Howe, Sridhar Ramachandran, Ceri E. Van Slyke, Yvonne M. Bradford, Christian Pich, Ryan Martin, Ken Frazer and Holly Paddock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Comparative Neurology.

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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