William I. Wood
- Molecular Biology top 0.5%
- Immunology top 0.2%
- Oncology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Hematology top 0.2%
- Co-authors
- Richard M. LawnJane GitschierAustin GurneyAudrey D. GoddardPaul J. GodowskiJames LeeR. Glenn HammondsGlenn C. Rice
- Topics
- Growth Hormone and Insulin-like Growth Factors (18 papers)Hemophilia Treatment and Research (9 papers)Immune Response and Inflammation (9 papers)
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
William I. Wood
77 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 7.7k
- Immunology 5.0k
- Oncology 4.4k
- Endocrinology, Diabetes and Metabolism 2.6k
- Hematology 2.4k
Countries citing papers authored by William I. Wood
This map shows the geographic impact of William I. Wood'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 William I. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William I. Wood more than expected).
Fields of papers citing papers by William I. Wood
This network shows the impact of papers produced by William I. Wood. 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 William I. Wood. The network helps show where William I. Wood may publish in the future.
Co-authorship network of co-authors of William I. Wood
This figure shows the co-authorship network connecting the top 25 collaborators of William I. Wood. A scholar is included among the top collaborators of William I. Wood 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 William I. Wood. William I. Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 436 | |
| 3 | 152 | |
| 4 | Genomic amplification of a decoy receptor for Fas ligand in lung and colon cancerbreakdown → | 645 |
| 5 | 27 | |
| 6 | Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signallingbreakdown → | 1046 |
| 7 | 56 | |
| 8 | 308 | |
| 9 | 71 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 144 | |
| 13 | 87 | |
| 14 | 52 | |
| 15 | 68 | |
| 16 | 117 | |
| 17 | 325 | |
| 18 | 2 | |
| 19 | 39 | |
| 20 | A Computer-Produced Catalog for Non-Print Materials: Its Application in a Health Sciences Library. | 2 |
About William I. Wood
William I. Wood is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Hematology, having authored 77 papers that have together received 16.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Hemophilia Treatment and Research (9 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Immunology (5.0k citations), Hematology (2.4k citations) and Oncology (4.4k citations). William I. Wood has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Richard M. Lawn, Jane Gitschier, Austin Gurney, Audrey D. Goddard, Paul J. Godowski, James Lee, R. Glenn Hammonds, Glenn C. Rice, Steven A. Spencer and William J. Henzel. Their work appears in journals such as Nature, Science and Proceedings of the National 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.