G.W. Wood
- Immunology top 5%
- Epidemiology top 10%
- Agronomy and Crop Science top 2%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Mamata DeJoan S. HuntD. J. AlexanderThomas SanfordGlen K. AndrewsDenise H. ThörntonJohn W. McCauleyG. Parsons
- Topics
- Virology and Viral Diseases (10 papers)Animal Virus Infections Studies (9 papers)Reproductive System and Pregnancy (9 papers)
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
G.W. Wood
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Immunology 664
- Epidemiology 467
- Agronomy and Crop Science 360
- Infectious Diseases 273
- Public Health, Environmental and Occupational Health 210
Countries citing papers authored by G.W. Wood
This map shows the geographic impact of G.W. 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 G.W. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.W. Wood more than expected).
Fields of papers citing papers by G.W. Wood
This network shows the impact of papers produced by G.W. 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 G.W. Wood. The network helps show where G.W. Wood may publish in the future.
Co-authorship network of co-authors of G.W. Wood
This figure shows the co-authorship network connecting the top 25 collaborators of G.W. Wood. A scholar is included among the top collaborators of G.W. 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 G.W. Wood. G.W. 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 | 23 | |
| 2 | 54 | |
| 3 | 56 | |
| 4 | 62 | |
| 5 | 41 | |
| 6 | 104 | |
| 7 | 122 | |
| 8 | 80 | |
| 9 | 65 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | CT-guided needle aspiration biopsy of an intraspinal synovial cyst (ganglion): case report and review of the literature. | 68 |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | Dynamics of T-lymphocyte subpopulations and T-lymphocyte function following thermal injury. | 19 |
About G.W. Wood
G.W. Wood is a scholar working on Animal Science and Zoology, Immunology and Epidemiology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), Animal Virus Infections Studies (9 papers) and Reproductive System and Pregnancy (9 papers). The work is most often cited by research in Agronomy and Crop Science (360 citations), Immunology (664 citations) and Obstetrics and Gynecology (179 citations). G.W. Wood has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Mamata De, Joan S. Hunt, D. J. Alexander, Thomas Sanford, Glen K. Andrews, Denise H. Thörnton, John W. McCauley, G. Parsons, John B. Bashiruddin and Jill Banks. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Radiology.
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.