Dan G. Duda
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 43
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers 37
- Cancer Cells and Metastasis 21
- Colorectal Cancer Treatments and Studies 16
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 28
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 38
- Immunology top 0.5%
- Immune cells in cancer 20
-
- Angiogenesis and VEGF in Cancer 62
- Co-authors
- Rakesh K. JainDai FukumuraJay S. LoefflerTracy T. BatchelorEmmanuelle di TomasoAndrew X. ZhuShom GoelA. Gregory Sorensen
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Journal of Clinical Oncology (30 papers)Cancer Research (16 papers)Proceedings of the National Academy of Sciences (11 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Dan G. Duda
220 papers receiving 19.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 4.6k
- Oncology 7.7k
- Genetics 2.7k
- Hepatology 1.8k
- Immunology 3.5k
Countries citing papers authored by Dan G. Duda
This map shows the geographic impact of Dan G. Duda'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 Dan G. Duda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan G. Duda more than expected).
Fields of papers citing papers by Dan G. Duda
This network shows the impact of papers produced by Dan G. Duda. 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 Dan G. Duda. The network helps show where Dan G. Duda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan G. Duda, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 46 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 74 | |
| 11 | 2017 | 19 | |
| 12 | 2013 | 122 | |
| 13 | 2013 | 55 | |
| 14 | 2011 | 156 | |
| 15 | 2010 | 25 | |
| 16 | 2010 | 406 | |
| 17 | 2010 | 234 | |
| 18 | 2009 | 291 | |
| 19 | 2009 | 235 | |
| 20 | 2004 | 41 |
About Dan G. Duda
Dan G. Duda is a scholar working on Hepatology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 230 papers that have together received 19.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (62 papers), Cancer, Hypoxia, and Metabolism (43 papers), Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Cancer Immunotherapy and Biomarkers (37 papers), Glioma Diagnosis and Treatment (28 papers), Cancer Cells and Metastasis (21 papers), Immune cells in cancer (20 papers) and Colorectal Cancer Treatments and Studies (16 papers). The work is most often cited by research in Cancer Research (4.6k citations), Oncology (7.7k citations), Genetics (2.7k citations), Hepatology (1.8k citations) and Immunology (3.5k citations). Dan G. Duda has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Rakesh K. Jain, Dai Fukumura, Jay S. Loeffler, Tracy T. Batchelor, Emmanuelle di Tomaso, Andrew X. Zhu, Shom Goel, A. Gregory Sorensen, Lance L. Munn and Zohreh Amoozgar. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Proceedings of the National Academy of Sciences, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.
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.