David W. Chitty
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Plant Science top 5%
- Plant Pathogens and Resistance
- Plant Disease Resistance and Genetics
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
Papers in
-
- Protein Degradation and Inhibitors 1
- Renal and related cancers 1
-
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Henk J. Brouwer (1 shared paper)Claire M. M. Gachon (1 shared paper)C. André Lévesque (1 shared paper)P.J.M. Bonants (1 shared paper)G.P. Robideau (1 shared paper)Chia‐Hui Hu (1 shared paper)N. L. Désaulniers (1 shared paper)Michael D. Coffey (1 shared paper)
- Journals
- Blood (2 papers)American Journal of Therapeutics (1 paper)Molecular Ecology Resources (1 paper)Heart (1 paper)Leukemia Research (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
David W. Chitty
15 papers receiving 619 citations
David W. Chitty's Hit Papers
Peers
Comparison fields: 5 of 65
- Cell Biology 378
- Plant Science 462
- Horticulture 4
- Small Animals 25
- Molecular Biology 228
Countries citing papers authored by David W. Chitty
This map shows the geographic impact of David W. Chitty'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. Chitty 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. Chitty more than expected).
Fields of papers citing papers by David W. Chitty
This network shows the impact of papers produced by David W. Chitty. 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. Chitty. The network helps show where David W. Chitty may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Chitty, 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 | DNA barcoding of oomycetes with cytochrome c oxidase subunit I and internal transcribed spacer Hit paper breakdown → | 2011 | 496 |
| 2 | 2012 | 48 | |
| 3 | 2008 | 17 | |
| 4 | 2020 | 14 | |
| 5 | 2011 | 13 | |
| 6 | 2014 | 12 | |
| 7 | 2009 | 9 | |
| 8 | 2011 | 8 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 |
About David W. Chitty
David W. Chitty is a scholar working on Molecular Biology, Hematology, Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 631 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (2 papers), Bone Tissue Engineering Materials (2 papers), Aortic Disease and Treatment Approaches (1 paper), Protein Degradation and Inhibitors (1 paper), Bone and Dental Protein Studies (1 paper), Cardiovascular and Diving-Related Complications (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cell Biology (378 citations), Plant Science (462 citations), Horticulture (4 citations), Small Animals (25 citations) and Molecular Biology (228 citations). David W. Chitty has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Henk J. Brouwer, Claire M. M. Gachon, C. André Lévesque, P.J.M. Bonants, G.P. Robideau, Chia‐Hui Hu, N. L. Désaulniers, Michael D. Coffey, Jean B. Ristaino and Frithjof C. Küpper. Their work appears in journals such as Blood, American Journal of Therapeutics, Molecular Ecology Resources, Heart and Leukemia Research.
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.