Michelle E. Leonard

864 total citations
10 papers, 268 citations indexed

About

Michelle E. Leonard is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Michelle E. Leonard has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Immunology. Recurrent topics in Michelle E. Leonard's work include Immune Cell Function and Interaction (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Michelle E. Leonard is often cited by papers focused on Immune Cell Function and Interaction (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Michelle E. Leonard collaborates with scholars based in United States. Michelle E. Leonard's co-authors include Struan F.A. Grant, Alessandra Chesi, Sumei Lu, Andrew D. Wells, Matthew E. Johnson, Chun Su, James A. Pippin, Elisabetta Manduchi, Kenyaita M. Hodge and Kurt D. Hankenson and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Diabetes.

In The Last Decade

Michelle E. Leonard

10 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle E. Leonard United States 8 158 97 50 28 24 10 268
Stefano Petrocchi Italy 8 84 0.5× 129 1.3× 22 0.4× 31 1.1× 12 0.5× 15 236
Takahiro Mimori Japan 9 144 0.9× 91 0.9× 64 1.3× 16 0.6× 7 0.3× 13 268
Nadja Ehmke Germany 9 133 0.8× 120 1.2× 40 0.8× 7 0.3× 32 1.3× 16 236
Stefano Giuseppe Caraffi Italy 11 130 0.8× 112 1.2× 90 1.8× 22 0.8× 11 0.5× 41 307
Vedrana Bali United States 8 166 1.1× 48 0.5× 42 0.8× 21 0.8× 7 0.3× 13 308
Katharina Schoner Germany 10 113 0.7× 127 1.3× 35 0.7× 42 1.5× 31 1.3× 20 272
Scott Tabar United States 1 160 1.0× 36 0.4× 41 0.8× 24 0.9× 11 0.5× 2 275
Tzu-Ping Lin Taiwan 9 174 1.1× 114 1.2× 15 0.3× 43 1.5× 15 0.6× 23 333
Céline Derbois France 9 159 1.0× 108 1.1× 26 0.5× 28 1.0× 5 0.2× 20 307
Marija Volk Slovenia 14 155 1.0× 115 1.2× 86 1.7× 14 0.5× 9 0.4× 36 378

Countries citing papers authored by Michelle E. Leonard

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle E. Leonard

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

All Works

10 of 10 papers shown
1.
Pippin, James A., Keith D. Boehm, Sumei Lu, et al.. (2024). Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C. Diabetologia. 67(12). 2740–2753. 4 indexed citations
2.
Pahl, Matthew C., Carole Le Coz, Chun Su, et al.. (2022). Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types. Genome biology. 23(1). 125–125. 20 indexed citations
3.
Su, Chun, Sumei Lu, James A. Pippin, et al.. (2021). 3D promoter architecture re-organization during iPSC-derived neuronal cell differentiation implicates target genes for neurodevelopmental disorders. Progress in Neurobiology. 201. 102000–102000. 15 indexed citations
4.
Hammond, Reza, Matthew C. Pahl, Chun Su, et al.. (2021). Biological constraints on GWAS SNPs at suggestive significance thresholds reveal additional BMI loci. eLife. 10. 32 indexed citations
5.
Pahl, Matthew C., Diana L. Cousminer, Claudia A. Doege, et al.. (2020). Variant-to-Gene-Mapping Analyses Reveal a Role for the Hypothalamus in Genetic Susceptibility to Inflammatory Bowel Disease. Cellular and Molecular Gastroenterology and Hepatology. 11(3). 667–682. 13 indexed citations
6.
Su, Chun, Matthew E. Johnson, Annabel Torres, et al.. (2020). Mapping effector genes at lupus GWAS loci using promoter Capture-C in follicular helper T cells. Nature Communications. 11(1). 3294–3294. 42 indexed citations
7.
Shi, Lihua, Li Song, Kelly Maurer, et al.. (2020). IL-1 Transcriptional Responses to Lipopolysaccharides Are Regulated by a Complex of RNA Binding Proteins. The Journal of Immunology. 204(5). 1334–1344. 11 indexed citations
8.
Chesi, Alessandra, Yadav Wagley, Matthew E. Johnson, et al.. (2019). Genome-scale Capture C promoter interactions implicate effector genes at GWAS loci for bone mineral density. Nature Communications. 10(1). 1260–1260. 79 indexed citations
9.
Manduchi, Elisabetta, Matthew B. Johnson, Michelle E. Leonard, et al.. (2018). A High Resolution Capture-C Promoter "Interactome" Implicates Causal Genes at Type 2 Diabetes GWAS Loci. Diabetes. 67(Supplement_1). 1 indexed citations
10.
Xia, Qianghua, Alessandra Chesi, Elisabetta Manduchi, et al.. (2016). The type 2 diabetes presumed causal variant within TCF7L2 resides in an element that controls the expression of ACSL5. Diabetologia. 59(11). 2360–2368. 51 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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2026