Dan G. Duda

1.2k citations
9 papers · 888 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • Hepatocellular Carcinoma Treatment and Prognosis 2
    • Liver physiology and pathology 1

Dan G. Duda

9 papers receiving 878 citations

Peers

Dan G. Duda
Comparison fields: 5 of 73
  • Hepatology 171
  • Cancer Research 174
  • Oncology 221
  • Immunology 155
  • Biomaterials 71
Replace Chahrazade Kantari‐Mimoun with:
Chahrazade Kantari‐Mimoun France
Shuaishuai Xu China
Lotte Hiddingh United States
Valentina Mele Switzerland
Hien T. Dang United States
Sofia Karkampouna Switzerland
Alice Faversani Italy
Bizhan Bandarchi Canada
Yingtang Gao China
Guangzhi Wang China
Dan G. Duda relative to Chahrazade Kantari‐Mimoun France Chahrazade Kantari‐Mimoun's profile →
Citations per field
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Chahrazade Kantari‐Mimoun · 1×
Citations per year

Countries citing papers authored by Dan G. Duda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Dan G. Duda Line = papers co-authored together Dan G. Duda links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010330
2 2013180
3 201592
4 201785
5 200980
6 201858
7 200356
8 20246
9 20231

About Dan G. Duda

Dan G. Duda is a scholar working on Cancer Research, Hepatology, Pathology and Forensic Medicine, Immunology and Oncology, having authored 9 papers that have together received 888 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer Mechanisms and Therapy (2 papers), Cancer Cells and Metastasis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer Research and Treatments (1 paper), Galectins and Cancer Biology (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hepatology (171 citations), Cancer Research (174 citations), Oncology (221 citations), Immunology (155 citations) and Biomaterials (71 citations). Dan G. Duda has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Dai Fukumura, Lance L. Munn, Yunching Chen, Rekha Samuel, T Reiberger, Andrew Xiuxuan Zhu, Sylvie Roberge, Gregory Yves Lauwers, Peigen Huang and Yuhui Huang. Their work appears in journals such as Hepatology, Theranostics, Nature Protocols, Clinical Cancer Research and PLoS ONE.

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.

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