Michele O’Laughlin

911 citations
5 papers · 742 · 2 hit papers · h-index 5

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer Genomics and Diagnostics

Papers in

    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 1
    • Genetic Associations and Epidemiology 1

Michele O’Laughlin

5 papers receiving 733 citations

Michele O’Laughlin's Hit Papers

Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers 2021 · 212 citations
2120+5+10Years since publication100200300400

Peers

Michele O’Laughlin
Comparison fields: 5 of 37
  • Hematology 496
  • Cancer Research 46
  • Genetics 25
  • Genetics 72
  • Molecular Biology 131
Replace Caroline J. Watson with:
Caroline J. Watson United Kingdom
N. P. Bown United Kingdom
Audrey Basinko France
J. Maciejewski United States
Chi‐Yuan Yao Taiwan
W. M. C. Geertsma-Kleinekoort Netherlands
Colin D. Grace United Kingdom
Steven Richebourg France
Benjamin Carcamo United States
Karen Lambie Canada
Michele O’Laughlin relative to Caroline J. Watson United Kingdom Caroline J. Watson's profile →
Citations per field
00.5×1.5×2.1×
Caroline J. Watson · 1×
Citations per year

Countries citing papers authored by Michele O’Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by Michele O’Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele O’Laughlin. 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 Michele O’Laughlin. The network helps show where Michele O’Laughlin may publish in the future.

Co-authors

The 25 scholars most cited alongside Michele O’Laughlin, 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 Michele O’Laughlin Line = papers co-authored together Michele O’Laughlin links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Michele O’Laughlin

Michele O’Laughlin is a scholar working on Hematology, Genetics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 5 papers that have together received 742 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Genetic Associations and Epidemiology (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (496 citations), Cancer Research (46 citations), Genetics (25 citations), Genetics (72 citations) and Molecular Biology (131 citations). Michele O’Laughlin has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Elaine R. Mardis, Jack Baty, Timothy Aaron Graubert, Jieya Shao, Peter Westervelt, John F. DiPersio, Timothy James Ley, Michael D. McLellan, Joelle Kalicki-Veizer and Robert S. Fulton. Their work appears in journals such as Leukemia, Blood Cancer Journal, PLoS Genetics, New England Journal of Medicine and Blood Cancer Discovery.

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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