Dianna E. Willis

4.7k citations
53 papers · 3.7k · h-index 30

Impact in

Papers in

    • RNA Research and Splicing 15
    • Signaling Pathways in Disease 9
    • Histone Deacetylase Inhibitors Research 6
    • RNA Interference and Gene Delivery 5
    • Nerve injury and regeneration 17
    • Hereditary Neurological Disorders 6
    • Axon Guidance and Neuronal Signaling 5

Dianna E. Willis

53 papers receiving 3.7k citations

Peers

Dianna E. Willis
Comparison fields: 5 of 110
  • Developmental Neuroscience 579
  • Cellular and Molecular Neuroscience 1.7k
  • Cell Biology 647
  • Molecular Biology 2.4k
  • Neurology 224
Replace Hiroko Yano with:
Hiroko Yano United States
Rebecca Matsas Greece
Markus Plomann Germany
Hosung Jung South Korea
Steven H. Nye United States
N.V. Tomilin Russia
Hiroaki Asou Japan
Christopher P. Austin United States
Victor Nurcombe Australia
Miriam Bibel Switzerland
Dianna E. Willis relative to Hiroko Yano United States Hiroko Yano's profile →
Citations per field
00.5×1.5×2.3×
Hiroko Yano · 1×
Citations per year

Countries citing papers authored by Dianna E. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Dianna E. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianna E. Willis. 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 Dianna E. Willis. The network helps show where Dianna E. Willis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003392
2 2005328
3 2010293
4 2009251
5 2012230
6 2007230
7 2008176
8 2008147
9 2011128
10 2006102
11 200792
12 200984
13 201982
14 199678
15 201576
16 201775
17 200771
18 201070
19 201968
20 201162

About Dianna E. Willis

Dianna E. Willis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Genetics, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (17 papers), RNA Research and Splicing (15 papers), Signaling Pathways in Disease (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Hereditary Neurological Disorders (6 papers), Histone Deacetylase Inhibitors Research (6 papers), RNA Interference and Gene Delivery (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (579 citations), Cellular and Molecular Neuroscience (1.7k citations), Cell Biology (647 citations), Molecular Biology (2.4k citations) and Neurology (224 citations). Dianna E. Willis has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffery L. Twiss, Tanuja T. Merianda, Deepika Vuppalanchi, Mike Fainzilber, C. Thong, Rajiv R. Ratan, Jay Chang, Christine E. Holt, Eran Perlson and Brett Langley. Their work appears in journals such as Journal of Neuroscience, Frontiers in Molecular Neuroscience, Proceedings of the National Academy of Sciences, eNeuro and Developmental Neurobiology.

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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