John R. Underwood
- Co-authors
- Paul V. LicciardiB H TohJes Søe PedersenKonrad BeyreutherColin L. MastersMilton T. W. HearnEric KarranJohn B. Davis
- Topics
- Alzheimer's disease research and treatments (9 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Transportation Planning and Optimization (5 papers)
- Cited by
- PhysiologyImmunologyCell Biology
- Partner nations
- AustraliaGermanyUnited Kingdom
In The Last Decade
John R. Underwood
31 papers receiving 523 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 255
- Physiology 176
- Immunology 120
- Radiology, Nuclear Medicine and Imaging 84
- Cell Biology 80
Countries citing papers authored by John R. Underwood
This map shows the geographic impact of John R. 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 John R. Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Underwood more than expected).
Fields of papers citing papers by John R. Underwood
This network shows the impact of papers produced by John R. 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 John R. Underwood. The network helps show where John R. Underwood may publish in the future.
Co-authorship network of co-authors of John R. Underwood
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Underwood. A scholar is included among the top collaborators of John R. Underwood 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 John R. Underwood. John R. Underwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 88 | |
| 3 | 27 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 52 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 61 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 4 | |
| 14 | Identification of components of the endoplasmic reticulum and Golgi complex by murine autoreactive monoclonal antibodies. | 10 |
| 15 | 14 | |
| 16 | Hybrids from normal, germ free, nude and neonatal mice produce monoclonal autoantibodies to eight different intracellular structures. | 69 |
| 17 | Just an awful toll | 1 |
| 18 | 1 | |
| 19 | MODELING INTERCITY MODAL SPLIT: RAIL VERSUS AIR | 1 |
| 20 | 0 |
About John R. Underwood
John R. Underwood is a scholar working on Transportation, Immunology and Allergy and Cell Biology, having authored 34 papers that have together received 544 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Transportation Planning and Optimization (5 papers). The work is most often cited by research in Physiology (176 citations), Immunology (120 citations) and Cell Biology (80 citations). John R. Underwood has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Paul V. Licciardi, B H Toh, Jes Søe Pedersen, Konrad Beyreuther, Colin L. Masters, Milton T. W. Hearn, Eric Karran, John B. Davis, Roberto Cappai and Ann E. Drummond. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Annals of Neurology.
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.