Michelle M. DeLisle

938 total citations
8 papers, 395 citations indexed

About

Michelle M. DeLisle is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Michelle M. DeLisle has authored 8 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Cognitive Neuroscience and 2 papers in Physiology. Recurrent topics in Michelle M. DeLisle's work include Pain Mechanisms and Treatments (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Tactile and Sensory Interactions (2 papers). Michelle M. DeLisle is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Tactile and Sensory Interactions (2 papers). Michelle M. DeLisle collaborates with scholars based in United States, Austria and United Kingdom. Michelle M. DeLisle's co-authors include David D. Ginty, Elizabeth C. Engle, Seungwon Choi, Celine Santiago, Junichi Hachisuka, Nathaniel Heintz, Yu Omori, Martyn Goulding, H. Richard Koerber and Dawei Zhang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michelle M. DeLisle

8 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle M. DeLisle United States	6	150	124	101	91	55	8	395
Yasmine Cantaut-Belarif France	11	159 1.1×	188 1.5×	48 0.5×	30 0.3×	112 2.0×	19	624
Eugenia Dı́az Chile	13	125 0.8×	123 1.0×	75 0.7×	109 1.2×	31 0.6×	21	451
Celine Santiago United States	14	225 1.5×	302 2.4×	108 1.1×	64 0.7×	128 2.3×	23	668
Michael Sawchuk United States	16	306 2.0×	320 2.6×	155 1.5×	87 1.0×	93 1.7×	22	697
Adeline Orts-Del’Immagine France	10	141 0.9×	126 1.0×	25 0.2×	50 0.5×	117 2.1×	11	404
Inna Schwarz Germany	8	332 2.2×	137 1.1×	79 0.8×	210 2.3×	19 0.3×	10	558
Leah C. Dorman United States	5	240 1.6×	169 1.4×	133 1.3×	46 0.5×	53 1.0×	8	970
Yi-Ling Lu United States	12	188 1.3×	168 1.4×	75 0.7×	92 1.0×	16 0.3×	16	539
F. Shawkat United Kingdom	12	103 0.7×	181 1.5×	37 0.4×	188 2.1×	39 0.7×	22	535
Michael S. Fleming United States	11	145 1.0×	158 1.3×	152 1.5×	52 0.6×	40 0.7×	14	443

Countries citing papers authored by Michelle M. DeLisle

Since Specialization

Citations

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

Fields of papers citing papers by Michelle M. DeLisle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. DeLisle. 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 Michelle M. DeLisle. The network helps show where Michelle M. DeLisle may publish in the future.

Co-authorship network of co-authors of Michelle M. DeLisle

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. DeLisle. A scholar is included among the top collaborators of Michelle M. DeLisle 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 Michelle M. DeLisle. Michelle M. DeLisle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Huey, Erica L., Josef Turecek, Michelle M. DeLisle, et al.. (2024). The auditory midbrain mediates tactile vibration sensing. Cell. 188(1). 104–120.e18. 5 indexed citations

2.

Turecek, Josef, et al.. (2024). C-LTMRs evoke wet dog shakes via the spinoparabrachial pathway. Science. 386(6722). 686–692. 5 indexed citations

3.

Meltzer, Shan, Anda M. Chirila, Michelle M. DeLisle, et al.. (2023). γ-Protocadherins control synapse formation and peripheral branching of touch sensory neurons. Neuron. 111(11). 1776–1794.e10. 20 indexed citations

4.

Neubarth, Nicole, Alan J. Emanuel, Annie Handler, et al.. (2020). Meissner corpuscles and their spatially intermingled afferents underlie gentle touch perception. Science. 368(6497). 89 indexed citations

5.

Choi, Seungwon, Junichi Hachisuka, Alexandra R. Magee, et al.. (2020). Parallel ascending spinal pathways for affective touch and pain. Nature. 587(7833). 258–263. 141 indexed citations

6.

Nugent, Alicia, Jong G. Park, Yan Wei, et al.. (2017). Mutant α2-chimaerin signals via bidirectional ephrin pathways in Duane retraction syndrome. Journal of Clinical Investigation. 127(5). 1664–1682. 19 indexed citations

7.

Tischfield, Max A., Caroline D. Robson, Shek Man Chim, et al.. (2017). Cerebral Vein Malformations Result from Loss of Twist1 Expression and BMP Signaling from Skull Progenitor Cells and Dura. Developmental Cell. 42(5). 445–461.e5. 35 indexed citations

8.

Cheng, Long, Jigar Desai, Carlos J. Miranda, et al.. (2014). Human CFEOM1 Mutations Attenuate KIF21A Autoinhibition and Cause Oculomotor Axon Stalling. Neuron. 82(2). 334–349. 81 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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