Scott Wood
Impact in
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- Cancer Genomics and Diagnostics
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- Peptidase Inhibition and Analysis
Papers in
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- Protein Degradation and Inhibitors 5
- Single-cell and spatial transcriptomics 3
- Oncology 8
- CAR-T cell therapy research 3
- Cancer Cells and Metastasis 2
- Co-authors
- Nicola Waddell (13 shared papers)John V. Pearson (11 shared papers)Lambros T. Koufariotis (7 shared papers)Kátia Nones (5 shared papers)Alun Jones (1 shared paper)Shivashankar H. Nagaraj (1 shared paper)Sean M. Grimmond (2 shared papers)Anil K. Madugundu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Blood (1 paper)eLife (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Scott Wood
21 papers receiving 268 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 71
- Oncology 91
- Hematology 30
- Molecular Biology 180
- Spectroscopy 35
Countries citing papers authored by Scott Wood
This map shows the geographic impact of Scott 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 Scott Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Wood more than expected).
Fields of papers citing papers by Scott Wood
This network shows the impact of papers produced by Scott 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 Scott Wood. The network helps show where Scott Wood may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Wood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2015 | 44 | |
| 3 | 2023 | 22 | |
| 4 | Experimental studies on the spread of cancer, with special reference to fibrinolytic agents and anticoagulants. | 1974 | 21 |
| 5 | 2023 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 1969 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 1 |
About Scott Wood
Scott Wood is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 271 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Protein Degradation and Inhibitors (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers), CAR-T cell therapy research (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer Cells and Metastasis (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (71 citations), Oncology (91 citations), Hematology (30 citations), Molecular Biology (180 citations) and Spectroscopy (35 citations). Scott Wood has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Nicola Waddell, John V. Pearson, Lambros T. Koufariotis, Kátia Nones, Alun Jones, Shivashankar H. Nagaraj, Sean M. Grimmond, Anil K. Madugundu, Derek Mendy and In Sock Jang. Their work appears in journals such as Scientific Reports, Blood, eLife, Nature Communications and Frontiers in Immunology.
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.