Michelle Richner

855 total citations
8 papers, 605 citations indexed

About

Michelle Richner is a scholar working on Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michelle Richner has authored 8 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michelle Richner's work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Viral Infections and Outbreaks Research (2 papers). Michelle Richner is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Viral Infections and Outbreaks Research (2 papers). Michelle Richner collaborates with scholars based in United States and United Kingdom. Michelle Richner's co-authors include Matheus B. Victor, Andrew S. Yoo, Jeanne M. Nerbonne, Tracey O. Hermanstyne, Vitaly A. Klyachko, Pan‐Yue Deng, Joseph L. Ransdell, Courtney Sobieski, Christine J. Huh and X. William Yang and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and Nature Neuroscience.

In The Last Decade

Michelle Richner

8 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Richner United States	7	460	227	91	89	54	8	605
Mahru C. An United States	9	760 1.7×	398 1.8×	60 0.7×	61 0.7×	84 1.6×	11	1.0k
Franziska Rother Germany	10	366 0.8×	174 0.8×	58 0.6×	58 0.7×	28 0.5×	14	657
Libing Shen China	12	347 0.8×	73 0.3×	58 0.6×	72 0.8×	15 0.3×	25	603
Almudena Pacheco United States	12	475 1.0×	195 0.9×	67 0.7×	43 0.5×	15 0.3×	15	721
Leon Tejwani United States	8	323 0.7×	77 0.3×	50 0.5×	31 0.3×	27 0.5×	14	492
D Muir United Kingdom	9	289 0.6×	255 1.1×	300 3.3×	58 0.7×	36 0.7×	16	731
Denis Avey United States	13	272 0.6×	74 0.3×	31 0.3×	122 1.4×	20 0.4×	21	804
Christian Alfano France	13	266 0.6×	168 0.7×	145 1.6×	120 1.3×	11 0.2×	17	615
Aaron Topol United States	10	401 0.9×	115 0.5×	69 0.8×	240 2.7×	11 0.2×	12	707
Julia Kaye United States	12	370 0.8×	132 0.6×	11 0.1×	30 0.3×	17 0.3×	13	509

Countries citing papers authored by Michelle Richner

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Richner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Richner

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Richner. A scholar is included among the top collaborators of Michelle Richner 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 Richner. Michelle Richner 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

Richner, Michelle, et al.. (2023). Type I IFN stimulates lymph node stromal cells from adult and old mice during a West Nile virus infection. Aging Cell. 22(4). e13796–e13796. 5 indexed citations

Dangi, Tanushree, Michelle Richner, Lavanya Visvabharathy, et al.. (2022). Improved control of SARS-CoV-2 by treatment with a nucleocapsid-specific monoclonal antibody. Journal of Clinical Investigation. 132(23). 43 indexed citations

Richner, Michelle, et al.. (2021). A Dengue Virus Serotype 1 mRNA-LNP Vaccine Elicits Protective Immune Responses. Journal of Virology. 95(12). 68 indexed citations

Victor, Matheus B., Michelle Richner, Seong Won Lee, et al.. (2020). Author Correction: Striatal neurons directly converted from Huntington’s disease patient fibroblasts recapitulate age-associated disease phenotypes. Nature Neuroscience. 23(10). 1307–1307. 6 indexed citations

Victor, Matheus B., Michelle Richner, Seong Won Lee, et al.. (2018). Striatal neurons directly converted from Huntington’s disease patient fibroblasts recapitulate age-associated disease phenotypes. Nature Neuroscience. 21(3). 341–352. 176 indexed citations

McCoy, Matthew J., Matheus B. Victor, Michelle Richner, et al.. (2018). LONGO: an R package for interactive gene length dependent analysis for neuronal identity. Bioinformatics. 34(13). i422–i428. 16 indexed citations

Richner, Michelle, Matheus B. Victor, Yangjian Liu, Daniel G. Abernathy, & Andrew S. Yoo. (2015). MicroRNA-based conversion of human fibroblasts into striatal medium spiny neurons. Nature Protocols. 10(10). 1543–1555. 64 indexed citations

Victor, Matheus B., Michelle Richner, Tracey O. Hermanstyne, et al.. (2014). Generation of Human Striatal Neurons by MicroRNA-Dependent Direct Conversion of Fibroblasts. Neuron. 84(2). 311–323. 227 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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