Jeffrey D. McDonald
- Molecular Biology
- Genetics top 5%
- Hematology top 10%
- Computational Mechanics top 10%
- Applied Mathematics top 5%
- Co-authors
- Eugene GoldwasserPhilip H. CogenNega BeruCatherine LacombeGraham V. CandlerMichael WrightD. BaganoffFred Waldman
- Topics
- Gas Dynamics and Kinetic Theory (8 papers)Computational Fluid Dynamics and Aerodynamics (6 papers)Particle Dynamics in Fluid Flows (4 papers)
- Journals
- Molecular and Cellular BiologyJournal of Computational PhysicsAnnals of the New York Academy of Sciences
- Partner nations
- United States
In The Last Decade
Jeffrey D. McDonald
22 papers receiving 663 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 276
- Genetics 163
- Hematology 132
- Computational Mechanics 126
- Applied Mathematics 116
Countries citing papers authored by Jeffrey D. McDonald
This map shows the geographic impact of Jeffrey D. McDonald'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 Jeffrey D. McDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. McDonald more than expected).
Fields of papers citing papers by Jeffrey D. McDonald
This network shows the impact of papers produced by Jeffrey D. McDonald. 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 Jeffrey D. McDonald. The network helps show where Jeffrey D. McDonald may publish in the future.
Co-authorship network of co-authors of Jeffrey D. McDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. McDonald. A scholar is included among the top collaborators of Jeffrey D. McDonald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey D. McDonald. Jeffrey D. McDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 20 | |
| 3 | 6 | |
| 4 | 75 | |
| 5 | Correlation of chromosome 17p loss with clinical outcome in medulloblastoma. | 47 |
| 6 | 80 | |
| 7 | 71 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | A computationally efficient particle simulation method suited to vector computer architectures | 28 |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 21 | |
| 18 | 36 | |
| 19 | 144 | |
| 20 | 38 |
About Jeffrey D. McDonald
Jeffrey D. McDonald is a scholar working on Applied Mathematics, Computational Mechanics and Hematology, having authored 22 papers that have together received 691 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (8 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Particle Dynamics in Fluid Flows (4 papers). The work is most often cited by research in Genetics (163 citations), Hematology (132 citations) and Applied Mathematics (116 citations). Jeffrey D. McDonald has collaborated with scholars based in United States. Frequent co-authors include Eugene Goldwasser, Philip H. Cogen, Nega Beru, Catherine Lacombe, Graham V. Candler, Michael Wright, D. Baganoff, Fred Waldman, Jennifer Willert and Fu‐Kuen Lin. Their work appears in journals such as Molecular and Cellular Biology, Journal of Computational Physics and Annals of the New York Academy of Sciences.
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.