Megan E. McNerney

2.5k citations
43 papers · 1.8k · h-index 22

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses

Papers in

    • Retinoids in leukemia and cellular processes 4
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 4
    • Acute Myeloid Leukemia Research 19
    • Chronic Myeloid Leukemia Treatments 4

Megan E. McNerney

40 papers receiving 1.7k citations

Peers

Megan E. McNerney
Comparison fields: 5 of 95
  • Hematology 478
  • Immunology 724
  • Genetics 160
  • Cancer Research 176
  • Oncology 275
Replace Stefan Kasper with:
Stefan Kasper Germany
Martín Pérez‐Andrés Spain
Jens M. Chemnitz Germany
Christina Coughlin United States
Honar Cherif Sweden
Alison M. Schram United States
Simrit Parmar United States
Yvonne M. Saenger United States
Ai‐Min Hui United States
Christopher S. Hourigan United States
Megan E. McNerney relative to Stefan Kasper Germany Stefan Kasper's profile →
Citations per field
00.5×1.7×
Stefan Kasper · 1×
Citations per year

Countries citing papers authored by Megan E. McNerney

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. McNerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2004168
3 2005154
4 2016111
5 2012107
6 200697
7 200490
8 200584
9 200078
10 201362
11 201750
12 201449
13 201348
14 200548
15 201447
16 201838
17 201335
18 200530
19 201526
20 201425

About Megan E. McNerney

Megan E. McNerney is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Oncology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Cancer Genomics and Diagnostics (6 papers), Retinoids in leukemia and cellular processes (4 papers), RNA Research and Splicing (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Hematology (478 citations), Immunology (724 citations), Genetics (160 citations), Cancer Research (176 citations) and Oncology (275 citations). Megan E. McNerney has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michelle M. Le Beau, Vinay Kumar, Lucy A. Godley, Vinay Kumar, Kyung‐Mi Lee, K White, Susan E. Stepp, Porunelloor A. Mathew, Michael Bennett and Syamal K. Datta. Their work appears in journals such as Blood, British Journal of Haematology, Oncogene, The Journal of Immunology and Cell Death and Disease.

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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