Michelle D. O’Laughlin

10.9k citations
13 papers · 883 indexed · h-index 9

Impact in

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

Papers in

    • Acute Myeloid Leukemia Research 11
    • Hematopoietic Stem Cell Transplantation 3
    • Multiple Myeloma Research and Treatments 2
    • Cancer Genomics and Diagnostics 3

Michelle D. O’Laughlin

13 papers receiving 879 citations

Peers

Michelle D. O’Laughlin
Comparison fields: 5 of 52
  • Hematology 530
  • Cancer Research 193
  • Genetics 108
  • Molecular Biology 671
  • Immunology 75
Replace Zhongling Cai with:
Zhongling Cai United States
Vijay P.S. Rawat Germany
Miriam Belmonte United Kingdom
Lan‐Lan Smith United Kingdom
Wendy A. Hudson United States
Nicola Potter United Kingdom
Baskar Ramdas United States
Wendy L. See United States
Nichole Helton United States
August H. Westra Netherlands
Michelle D. O’Laughlin relative to Zhongling Cai United States Zhongling Cai's profile →
Citations per field
00.5×6.8×
Zhongling Cai · 1×
Citations per year

Countries citing papers authored by Michelle D. O’Laughlin

Since Specialization
Citations

This map shows the geographic impact of Michelle D. 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 Michelle D. 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 Michelle D. O’Laughlin more than expected).

Fields of papers citing papers by Michelle D. O’Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20233
2 201836
3 201821
4 20171
5 2017149
6 201782
7 201615
8 201511
9 201584
10 2015211
11 20152
12 2014264
13 20144

About Michelle D. O’Laughlin

Michelle D. O’Laughlin is a scholar working on Hematology, Cancer Research, Molecular Biology, Physiology and Organic Chemistry, having authored 13 papers that have together received 883 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Epigenetics and DNA Methylation (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Genomics and Diagnostics (3 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Hematology (530 citations), Cancer Research (193 citations), Genetics (108 citations), Molecular Biology (671 citations) and Immunology (75 citations). Michelle D. O’Laughlin has collaborated with scholars based in United States. Frequent co-authors include Robert S. Fulton, Catrina C. Fronick, Matthew J. Walter, Vincent Magrini, Timothy A. Graubert, Tamara Lamprecht, Malachi Griffith, John F. DiPersio, Daniel C. Link and Richard K. Wilson. Their work appears in journals such as Blood, Cancer Cell, Molecular Case Studies, Nature Communications and JCO Precision Oncology.

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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