Michelle E. Leonard

891 citations
10 papers · 287 · h-index 8

Impact in

    • Genetic Associations and Epidemiology
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 3
    • RNA modifications and cancer 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Bioinformatics and Genomic Networks 1
    • Genetics and Neurodevelopmental Disorders 1

Michelle E. Leonard

10 papers receiving 284 citations

Peers

Michelle E. Leonard
Comparison fields: 5 of 70
  • Genetics 86
  • Immunology 40
  • Molecular Biology 133
  • Biological Psychiatry 4
  • Cancer Research 20
Replace Kenyaita M. Hodge with:
Kenyaita M. Hodge United States
Nadja Ehmke Germany
Yuchen Niu China
Peter Walter Germany
Andrew Touati United States
Minako Ogawa‐Tominaga Japan
Naresh Kumar Meena United States
A. Preuße-Prange Germany
Mimi Fang United States
Alina Khromykh United States
Michelle E. Leonard relative to Kenyaita M. Hodge United States Kenyaita M. Hodge's profile →
Citations per field
00.5×1.5×1.8×
Kenyaita M. Hodge · 1×
Citations per year

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-authors

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

All Works

10 of 10 papers shown
#Work
1 201983
2 201651
3 202045
4 202136
5 202222
6 202117
7 202014
8 202012
9 20246
10 20181

About Michelle E. Leonard

Michelle E. Leonard is a scholar working on Molecular Biology, Genetics, Rheumatology, Immunology and Cancer Research, having authored 10 papers that have together received 287 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Cancer-related molecular mechanisms research (1 paper), Systemic Lupus Erythematosus Research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Genetics (86 citations), Immunology (40 citations), Molecular Biology (133 citations), Biological Psychiatry (4 citations) and Cancer Research (20 citations). Michelle E. Leonard has collaborated with scholars based in United States. Frequent co-authors include Alessandra Chesi, Struan F.A. Grant, Sumei Lu, Andrew D. Wells, Matthew E. Johnson, James A. Pippin, Chun Su, Elisabetta Manduchi, Kenyaita M. Hodge and Yadav Wagley. Their work appears in journals such as Diabetologia, Nature Communications, Diabetes, Cellular and Molecular Gastroenterology and Hepatology and The Journal of Immunology.

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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