Levi Todd

2.2k total citations
27 papers, 1.0k citations indexed

About

Levi Todd is a scholar working on Molecular Biology, Developmental Neuroscience and Neurology. According to data from OpenAlex, Levi Todd has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Developmental Neuroscience and 7 papers in Neurology. Recurrent topics in Levi Todd's work include Retinal Development and Disorders (23 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Levi Todd is often cited by papers focused on Retinal Development and Disorders (23 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Levi Todd collaborates with scholars based in United States and Hong Kong. Levi Todd's co-authors include Andy J. Fischer, Thomas A. Reh, Donika Gallina, Isabella Palazzo, Natalie Squires, Marcus Hooper, Connor Finkbeiner, Christopher Zelinka, Leo Volkov and Seth Blackshaw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Development.

In The Last Decade

Levi Todd

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Levi Todd United States 19 865 252 243 216 187 27 1.0k
Stefanie G. Wohl United States 13 683 0.8× 153 0.6× 175 0.7× 219 1.0× 176 0.9× 18 855
Yumi Ueki United States 16 874 1.0× 102 0.4× 197 0.8× 265 1.2× 187 1.0× 19 1.0k
Christopher Zelinka United States 15 500 0.6× 167 0.7× 146 0.6× 123 0.6× 227 1.2× 16 700
Karin Roesch United States 8 666 0.8× 84 0.3× 111 0.5× 170 0.8× 146 0.8× 11 820
Brian P. Buckingham United States 6 918 1.1× 148 0.6× 150 0.6× 258 1.2× 510 2.7× 7 1.1k
Haoliang Huang United States 17 516 0.6× 79 0.3× 102 0.4× 250 1.2× 267 1.4× 23 810
Hui-ya Gilbert United States 8 428 0.5× 148 0.6× 373 1.5× 574 2.7× 126 0.7× 8 959
Fengfeng Bei United States 7 575 0.7× 117 0.5× 322 1.3× 533 2.5× 103 0.6× 10 965
Ryne A. Gorsuch United States 6 398 0.5× 88 0.3× 128 0.5× 91 0.4× 83 0.4× 8 462
Zofia Dreher Australia 12 650 0.8× 224 0.9× 78 0.3× 349 1.6× 319 1.7× 14 888

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-authorship network of co-authors of Levi Todd

This figure shows the co-authorship network connecting the top 25 collaborators of Levi Todd. A scholar is included among the top collaborators of Levi Todd 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 Levi Todd. Levi Todd 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
1.
El‐Hodiri, Heithem M., et al.. (2024). Regulating the formation of Müller glia‐derived progenitor cells in the retina. Glia. 73(1). 4–24. 2 indexed citations
2.
Reh, Thomas A., et al.. (2024). Monocyte Invasion into the Retina Restricts the Regeneration of Neurons from Müller Glia. Journal of Neuroscience. 44(46). e0938242024–e0938242024. 1 indexed citations
3.
4.
Todd, Levi. (2023). Inducing Neural Regeneration from Glia Using Proneural bHLH Transcription Factors. Advances in experimental medicine and biology. 1415. 577–582.
5.
6.
Palazzo, Isabella, Levi Todd, Thanh Hoang, et al.. (2022). NFkB ‐signaling promotes glial reactivity and suppresses Müller glia‐mediated neuron regeneration in the mammalian retina. Glia. 70(7). 1380–1401. 48 indexed citations
7.
Todd, Levi, Connor Finkbeiner, Marcus Hooper, et al.. (2022). Reprogramming Müller glia to regenerate ganglion-like cells in adult mouse retina with developmental transcription factors. Science Advances. 8(47). eabq7219–eabq7219. 44 indexed citations
8.
Todd, Levi & Thomas A. Reh. (2021). Comparative Biology of Vertebrate Retinal Regeneration: Restoration of Vision through Cellular Reprogramming. Cold Spring Harbor Perspectives in Biology. 14(6). a040816–a040816. 25 indexed citations
9.
Todd, Levi, Marcus Hooper, Connor Finkbeiner, et al.. (2021). Efficient stimulation of retinal regeneration from Müller glia in adult mice using combinations of proneural bHLH transcription factors. Cell Reports. 37(3). 109857–109857. 87 indexed citations
10.
McDonough, Ashley, Levi Todd, Christopher B. Ransom, et al.. (2021). Microglial depletion abolishes ischemic preconditioning in white matter. Glia. 70(4). 661–674. 12 indexed citations
11.
Todd, Levi, et al.. (2020). Microglia Suppress Ascl1-Induced Retinal Regeneration in Mice. Cell Reports. 33(11). 108507–108507. 64 indexed citations
12.
Jorstad, Nikolas L., Matthew S. Wilken, Levi Todd, et al.. (2020). STAT Signaling Modifies Ascl1 Chromatin Binding and Limits Neural Regeneration from Muller Glia in Adult Mouse Retina. Cell Reports. 30(7). 2195–2208.e5. 80 indexed citations
13.
Todd, Levi, Isabella Palazzo, Xiaoyu Liu, et al.. (2019). Reactive microglia and IL1β/IL-1R1-signaling mediate neuroprotection in excitotoxin-damaged mouse retina. Journal of Neuroinflammation. 16(1). 118–118. 120 indexed citations
14.
Campbell, Warren A., Ameya Deshmukh, S A Blum, et al.. (2019). Matrix-metalloproteinase expression and gelatinase activity in the avian retina and their influence on Müller glia proliferation. Experimental Neurology. 320. 112984–112984. 21 indexed citations
15.
Todd, Levi, et al.. (2017). Retinoic acid signaling promotes proliferation and neuronal differentiation from Muller glia-derived progenitor cells in the avian retina.. Investigative Ophthalmology & Visual Science. 58(8). 802–802. 1 indexed citations
16.
Gombash, Sara E., Christopher Cowley, Julie C. Fitzgerald, et al.. (2017). Systemic gene delivery transduces the enteric nervous system of guinea pigs and cynomolgus macaques. Gene Therapy. 24(10). 640–648. 18 indexed citations
17.
Todd, Levi, et al.. (2016). Jak/Stat signaling regulates the proliferation and neurogenic potential of Müller glia-derived progenitor cells in the avian retina. Scientific Reports. 6(1). 35703–35703. 59 indexed citations
18.
Zelinka, Christopher, et al.. (2016). mTor-signaling is required for the formation of proliferating Müller glia-derived progenitor cells in the chick retina. Development. 143(11). 1859–73. 51 indexed citations
19.
Todd, Levi, et al.. (2015). Heparin-binding EGF-like growth factor (HB-EGF) stimulates the proliferation of Müller glia-derived progenitor cells in avian and murine retinas. Molecular and Cellular Neuroscience. 69. 54–64. 40 indexed citations
20.
Gallina, Donika, Levi Todd, & Andy J. Fischer. (2013). A comparative analysis of Müller glia-mediated regeneration in the vertebrate retina. Experimental Eye Research. 123. 121–130. 75 indexed citations

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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