David Woods
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 24
- Cancer Immunotherapy and Biomarkers 14
- CAR-T cell therapy research 12
- Peptidase Inhibition and Analysis 6
- Immunology 14
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 4
- Co-authors
- Jeffrey S. WeberEduardo M. SotomayorAlejandro VillagraAndressa L. SodréAmod A. SarnaikAndressa S. LainoMelinda VassalloKarrune Woan
- Journals
- Cancer Immunology Research (5 papers)Cancer Research (5 papers)Blood (5 papers)The Journal of Immunology (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David Woods
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Oncology 877
- Immunology 587
- Molecular Biology 890
- Virology 49
- Cancer Research 94
Countries citing papers authored by David Woods
This map shows the geographic impact of David Woods'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 David Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Woods more than expected).
Fields of papers citing papers by David Woods
This network shows the impact of papers produced by David Woods. 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 David Woods. The network helps show where David Woods may publish in the future.
Co-authors
The 25 scholars most cited alongside David Woods, 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 | 2023 | 9 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 13 | |
| 4 | 2020 | 34 | |
| 5 | 2020 | 166 | |
| 6 | 2020 | 65 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 38 | |
| 9 | 2019 | 66 | |
| 10 | 2018 | 50 | |
| 11 | 2017 | 117 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 348 | |
| 16 | 2014 | 96 | |
| 17 | 2014 | 113 | |
| 18 | 2013 | 81 | |
| 19 | 2011 | 9 | |
| 20 | 2010 | 35 |
About David Woods
David Woods is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Cancer Research, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (22 papers), Cancer Immunotherapy and Biomarkers (14 papers), CAR-T cell therapy research (12 papers), Protein Degradation and Inhibitors (11 papers), Immunotherapy and Immune Responses (9 papers), Peptidase Inhibition and Analysis (6 papers), Epigenetics and DNA Methylation (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (877 citations), Immunology (587 citations), Molecular Biology (890 citations), Virology (49 citations) and Cancer Research (94 citations). David Woods has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jeffrey S. Weber, Eduardo M. Sotomayor, Alejandro Villagra, Andressa L. Sodré, Amod A. Sarnaik, Andressa S. Laino, Melinda Vassallo, Karrune Woan, Fengdong Cheng and Megan Wind‐Rotolo. Their work appears in journals such as Cancer Immunology Research, Cancer Research, Blood, The Journal of Immunology and Journal of Clinical Oncology.
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.