David W. McKellar

1.0k citations
10 papers · 442 · h-index 8

Impact in

    • Single-cell and spatial transcriptomics
    • Muscle Physiology and Disorders
    • Congenital heart defects research
    • RNA Research and Splicing
    • Molecular Biology Techniques and Applications
    • Gene expression and cancer classification

Papers in

David W. McKellar

10 papers receiving 442 citations

Peers

David W. McKellar
Comparison fields: 5 of 71
  • Aging 10
  • Molecular Biology 333
  • Cancer Research 50
  • Biophysics 18
  • Genetics 25
Replace Madhav Mantri with:
Madhav Mantri United States
Deri Helterline United States
Svetlana Smirnikhina Russia
Stefan T. Börno Germany
Emmanuelle Massouridès France
Lauren Liu United States
Sara Valsoni Italy
Sharon L. Oltjen United States
Peter G. Hendrickson United States
Pernille Yde Rainer Switzerland
David W. McKellar relative to Madhav Mantri United States Madhav Mantri's profile →
Citations per field
00.5×1.5×
Madhav Mantri · 1×
Citations per year

Countries citing papers authored by David W. McKellar

Since Specialization
Citations

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

Fields of papers citing papers by David W. McKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. McKellar. 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 David W. McKellar. The network helps show where David W. McKellar may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021139
2 2021127
3 202270
4 202245
5 202324
6 202216
7 20249
8 20217
9 20183
10 20262

About David W. McKellar

David W. McKellar is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Surgery and Pharmacology, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Muscle Physiology and Disorders (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), RNA and protein synthesis mechanisms (1 paper), CAR-T cell therapy research (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Aging (10 citations), Molecular Biology (333 citations), Cancer Research (50 citations), Biophysics (18 citations) and Genetics (25 citations). David W. McKellar has collaborated with scholars based in United States, Switzerland and Iran. Frequent co-authors include Iwijn De Vlaminck, Madhav Mantri, Michael F. Z. Wang, Benjamin D. Cosgrove, Gaetano J. Scuderi, Benjamin Grodner, Meleana M. Hinchman, John S. L. Parker, Jonathan T. Butcher and Hao Shi. Their work appears in journals such as Nature Communications, Communications Biology, iScience, Nature Biotechnology and Blood.

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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