David W. McKellar
Impact in
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- Single-cell and spatial transcriptomics
- Muscle Physiology and Disorders
- Congenital heart defects research
- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
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- Single-cell and spatial transcriptomics 4
- Muscle Physiology and Disorders 2
- Advanced biosensing and bioanalysis techniques 1
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- MicroRNA in disease regulation 1
- Co-authors
- Iwijn De Vlaminck (7 shared papers)Madhav Mantri (5 shared papers)Michael F. Z. Wang (4 shared papers)Benjamin D. Cosgrove (5 shared papers)John S. L. Parker (2 shared papers)Jonathan T. Butcher (2 shared papers)Meleana M. Hinchman (2 shared papers)Gaetano J. Scuderi (2 shared papers)
- Journals
- Nature Communications (4 papers)iScience (1 paper)Nature Microbiology (1 paper)Blood (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesSwitzerlandIran
In The Last Decade
David W. McKellar
9 papers receiving 401 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 319
- Aging 8
- Cancer Research 50
- Biophysics 17
- Genetics 27
Countries citing papers authored by David W. McKellar
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2021 | 115 | |
| 3 | 2022 | 64 | |
| 4 | 2022 | 43 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 15 | |
| 7 | 2024 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2026 | 0 |
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 401 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Muscle Physiology and Disorders (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Apelin-related biomedical research (1 paper), MicroRNA in disease regulation (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Molecular Biology (319 citations), Aging (8 citations), Cancer Research (50 citations), Biophysics (17 citations) and Genetics (27 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, John S. L. Parker, Jonathan T. Butcher, Meleana M. Hinchman, Gaetano J. Scuderi, Roozbeh Abedini‐Nassab and Benjamin Grodner. Their work appears in journals such as Nature Communications, iScience, Nature Microbiology, Blood and Nature Biotechnology.
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.