Dianna E. Willis

4.8k citations
56 papers · 3.9k · h-index 30

Impact in

Papers in

    • Nerve injury and regeneration 18
    • Hereditary Neurological Disorders 7
    • Axon Guidance and Neuronal Signaling 6
    • RNA Research and Splicing 13
    • Signaling Pathways in Disease 10
    • Histone Deacetylase Inhibitors Research 6
    • RNA Interference and Gene Delivery 5

Dianna E. Willis

56 papers receiving 3.9k citations

Peers

Dianna E. Willis
Comparison fields: 5 of 112
  • Developmental Neuroscience 601
  • Cellular and Molecular Neuroscience 1.7k
  • Cell Biology 654
  • Molecular Biology 2.4k
  • Neurology 213
Replace Hiroko Yano with:
Hiroko Yano United States
Rebecca Matsas Greece
Bernhard K. Mueller Germany
Matthew R. Sarkisian United States
Steven H. Nye United States
José María Frade Spain
Carla Taveggia Italy
Monika Ashok Davare United States
Victor Nurcombe Australia
Lorene M. Lanier United States
Dianna E. Willis relative to Hiroko Yano United States Hiroko Yano's profile →
Citations per field
00.5×1.5×2×2.3×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003421
2 2005339
3 2010301
4 2009270
5 2012242
6 2007234
7 2008189
8 2008148
9 2011134
10 2006105
11 201997
12 200794
13 200988
14 201581
15 201781
16 199680
17 201073
18 201973
19 200770
20 201164

About Dianna E. Willis

Dianna E. Willis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cell Biology and Genetics, having authored 56 papers that have together received 3.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (18 papers), RNA Research and Splicing (13 papers), Signaling Pathways in Disease (10 papers), Hereditary Neurological Disorders (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Histone Deacetylase Inhibitors Research (6 papers), Axon Guidance and Neuronal Signaling (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Developmental Neuroscience (601 citations), Cellular and Molecular Neuroscience (1.7k citations), Cell Biology (654 citations), Molecular Biology (2.4k citations) and Neurology (213 citations). Dianna E. Willis has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffery L. Twiss, Tanuja T. Merianda, Deepika Vuppalanchi, Mike Fainzilber, Thong Chi Ma, Rajiv R. Ratan, Eran Perlson, Jay Chang, Christine E. Holt and Brett C. Langley. Their work appears in journals such as Journal of Neuroscience, Frontiers in Molecular Neuroscience, Proceedings of the National Academy of Sciences, eNeuro and Neuron.

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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