Levi Todd

2.2k citations
27 papers · 1.0k indexed · h-index 19

Impact in

Papers in

Levi Todd

25 papers receiving 1.0k citations

Peers

Levi Todd
Comparison fields: 5 of 72
  • Developmental Neuroscience 243
  • Neurology 252
  • Ophthalmology 187
  • Molecular Biology 865
  • Cellular and Molecular Neuroscience 216
Replace Stefanie G. Wohl with:
Stefanie G. Wohl United States
Christopher Zelinka United States
Yumi Ueki United States
Alessia Tassoni United Kingdom
Isabella Palazzo United States
Karin Roesch United States
Cristina Zibetti United States
Arpad Palfi Ireland
Haoliang Huang United States
Brian P. Buckingham United States
Levi Todd relative to Stefanie G. Wohl United States Stefanie G. Wohl's profile →
Citations per field
00.5×3.0×
Stefanie G. Wohl · 1×
Citations per year

Countries citing papers authored by Levi Todd

Since Specialization
Citations

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

Fields of papers citing papers by Levi Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 202187
3 202080
4 201479
5 201375
6 202064
7 201659
8 201651
9 201549
10 202248
11 202244
12 201540
13 201740
14 201739
15 201534
16 201526
17 202125
18 201921
19 201718
20 202112

About Levi Todd

Levi Todd is a scholar working on Developmental Neuroscience, Neurology, Ophthalmology, Biological Psychiatry and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Development and Disorders (23 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Zebrafish Biomedical Research Applications (5 papers), CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (2 papers), Developmental Biology and Gene Regulation (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (243 citations), Neurology (252 citations), Ophthalmology (187 citations), Molecular Biology (865 citations) and Cellular and Molecular Neuroscience (216 citations). Levi Todd has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Andy J. Fischer, Thomas A. Reh, Donika Gallina, Isabella Palazzo, Natalie Squires, Marcus Hooper, Connor Finkbeiner, Leo Volkov, Christopher Zelinka and Thanh Hoang. Their work appears in journals such as Glia, Cell Reports, Development, eLife and Experimental 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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