Daniah Trabzuni

19.6k citations
40 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Gene expression and cancer classification (7 papers)Bioinformatics and Genomic Networks (7 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)

In The Last Decade

Daniah Trabzuni

40 papers receiving 2.8k citations

Hit Papers

Genetic variability in the regulation of gene expression ...20142026201820222014100200300400

Peers

Daniah Trabzuni
Comparison fields: 5 of 128
  • Molecular Biology 1.4k
  • Genetics 724
  • Cellular and Molecular Neuroscience 628
  • Neurology 527
  • Neurology 469
Replace Fuying Gao with:
Fuying Gao United States
Guomei Tang United States
Mina Ryten United Kingdom
Marcel P. van der Brug United States
Ellen Kanter United States
Ko Miyoshi Japan
Gabriel Santpere Spain
Anne‐Laurence Boutillier France
Marcel van der Brug United States
Douglas W. Ethell United States
Daniah Trabzuni relative to Fuying Gao United States Fuying Gao's profile →
Citations per field
00.5×1.5×
Fuying Gao · 1×
Citations per year

Countries citing papers authored by Daniah Trabzuni

Since Specialization
Citations

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

Fields of papers citing papers by Daniah Trabzuni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniah Trabzuni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniah Trabzuni. A scholar is included among the top collaborators of Daniah Trabzuni 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 Daniah Trabzuni. Daniah Trabzuni 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 1
2 10
3 304
4 46
5 102
6 49
7 29
8 34
9 66
10 138
11 45
12 100
13 120
14 44
15 145
16 3
17 200
18 79
19 32
20 23

About Daniah Trabzuni

Daniah Trabzuni is a scholar working on Neurology, Molecular Biology and Biological Psychiatry, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Neurology (527 citations), Biological Psychiatry (93 citations) and Cellular and Molecular Neuroscience (628 citations). Daniah Trabzuni has collaborated with scholars based in United Kingdom, Saudi Arabia and United States. Frequent co-authors include Mina Ryten, John Hardy, Colin Smith, Michael E. Weale, Robert Walker, Adaikalavan Ramasamy, Mark Cookson, Rohan de Silva, Sebastian Guelfi and Andrew B. Singleton. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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