Joan MacNeill

4.0k citations
6 papers · 1.1k indexed · h-index 6

Impact in

    • DNA Repair Mechanisms
    • PI3K/AKT/mTOR signaling in cancer
    • Ubiquitin and proteasome pathways
    • Protein Kinase Regulation and GTPase Signaling
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Chronic Lymphocytic Leukemia Research 1
    • Chronic Myeloid Leukemia Treatments 2
    • Acute Myeloid Leukemia Research 1

Joan MacNeill

6 papers receiving 1.1k citations

Peers

Joan MacNeill
Comparison fields: 5 of 76
  • Molecular Biology 841
  • Oncology 303
  • Hematology 111
  • Hepatology 74
  • Spectroscopy 153
Replace Sean Caenepeel with:
Sean Caenepeel United States
Daniel Dauch Germany
Thomas Waerner Germany
Lena Kanter Sweden
Johanna M. Schafer United States
Johannes Bange Germany
Fumi Kinose United States
Eugene Goufman Russia
Eugenia Kraynov United States
Kirsten H. Edmiston United States
Joan MacNeill relative to Sean Caenepeel United States Sean Caenepeel's profile →
Citations per field
00.5×5.3×
Sean Caenepeel · 1×
Citations per year

Countries citing papers authored by Joan MacNeill

Since Specialization
Citations

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

Fields of papers citing papers by Joan MacNeill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan MacNeill. 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 Joan MacNeill. The network helps show where Joan MacNeill may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201147
2 2010247
3 2008424
4 2007247
5 200683
6 200663

About Joan MacNeill

Joan MacNeill is a scholar working on Genetics, Hematology, Rheumatology, Oncology and Molecular Biology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), DNA Repair Mechanisms (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Molecular Biology (841 citations), Oncology (303 citations), Hematology (111 citations), Hepatology (74 citations) and Spectroscopy (153 citations). Joan MacNeill has collaborated with scholars based in United States. Frequent co-authors include A. John Rush, Michael J. Comb, Steven P. Gygi, Julie Nardone, Roberto D. Polakiewicz, Jon M. Kornhauser, Matthew P. Stokes, Judit Villén, Ailan Guo and Anthony Possemato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Science Signaling and PLoS ONE.

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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