Robert Underwood
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Parallel Computing and Optimization Techniques 15
-
- Advanced Data Storage Technologies 15
- Distributed and Parallel Computing Systems 6
- Co-authors
- Peter LibbySteven K. ClintonMatthew L. ShermanD KufeBrigitte T. HuberJeffrey A. WinklesEdi BrogiGregory F. Alberts
- Journals
- Journal of Clinical Investigation (2 papers)Geophysical Journal International (2 papers)The International Journal of High Performance Computing Applications (1 paper)World Englishes (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Robert Underwood
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Immunology and Allergy 100
- Immunology 314
- Hardware and Architecture 69
- Oncology 205
- Cancer Research 111
Countries citing papers authored by Robert Underwood
This map shows the geographic impact of Robert Underwood'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 Robert Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Underwood more than expected).
Fields of papers citing papers by Robert Underwood
This network shows the impact of papers produced by Robert Underwood. 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 Robert Underwood. The network helps show where Robert Underwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Underwood, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 86 | |
| 15 | 2021 | 1 | |
| 16 | 2003 | 62 | |
| 17 | 1993 | 164 | |
| 18 | Macrophage colony-stimulating factor gene expression in vascular cells and in experimental and human atherosclerosis. | 1992 | 293 |
| 19 | Melanocytic cells in human embryonic and fetal epidermis as identified by the anti melanoma monoclonal antibody hmb 45 | 1987 | 2 |
| 20 | 1968 | 2 |
About Robert Underwood
Robert Underwood is a scholar working on Hardware and Architecture, Computer Networks and Communications, Immunology and Allergy, Artificial Intelligence and Geophysics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (15 papers), Parallel Computing and Optimization Techniques (15 papers), Algorithms and Data Compression (8 papers), Distributed and Parallel Computing Systems (6 papers), Seismic Imaging and Inversion Techniques (3 papers), Cell Adhesion Molecules Research (3 papers), Seismology and Earthquake Studies (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Immunology and Allergy (100 citations), Immunology (314 citations), Hardware and Architecture (69 citations), Oncology (205 citations) and Cancer Research (111 citations). Robert Underwood has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Peter Libby, Steven K. Clinton, Matthew L. Sherman, D Kufe, Brigitte T. Huber, Jeffrey A. Winkles, Edi Brogi, Gregory F. Alberts, Murali Chiravuri and Andrew Wang. Their work appears in journals such as Journal of Clinical Investigation, Geophysical Journal International, The International Journal of High Performance Computing Applications, World Englishes and IEEE Transactions on Parallel and Distributed Systems.
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.