James Huber

675 citations
10 papers · 565 · h-index 7

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Cancer, Hypoxia, and Metabolism

Papers in

James Huber

10 papers receiving 540 citations

Peers

James Huber
Comparison fields: 5 of 62
  • Hepatology 93
  • Cancer Research 154
  • Oncology 133
  • Molecular Biology 339
  • Genetics 26
Replace Julia Freimuth with:
Julia Freimuth United States
Xuening Ji China
Kanenori Endo Japan
Masumi Yoshie Japan
Jianguo Lu China
Masako Kamiyama Japan
Donald P. Lesslie United States
Peng-Chan Lin Taiwan
Mary E. Rothstein United States
Robert S. Carver United States
James Huber relative to Julia Freimuth United States Julia Freimuth's profile →
Citations per field
00.5×1.6×
Julia Freimuth · 1×
Citations per year

Countries citing papers authored by James Huber

Since Specialization
Citations

This map shows the geographic impact of James Huber'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 James Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Huber more than expected).

Fields of papers citing papers by James Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Huber. 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 James Huber. The network helps show where James Huber may publish in the future.

Co-authors

The 25 scholars most cited alongside James Huber, 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 James Huber Line = papers co-authored together James Huber links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2004128
2 2002126
3 2006121
4 199984
5 200149
6
Responses to antiangiogenesis treatment of spontaneous autochthonous tumors and their isografts.
200326
7
Enhanced suppression of melanoma tumor growth and metastasis by combined therapy with anti-VEGF receptor and anti-TYRP-1/gp75 monoclonal antibodies.
200821
8 19806
9 20063
10
A fully human monoclonal antibody against VEGFR-1 inhibits growth of human breast cancers
20041

About James Huber

James Huber is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 565 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cell Adhesion Molecules Research (2 papers), Vascular Tumors and Angiosarcomas (1 paper), Cancer Research and Treatments (1 paper), Photodynamic Therapy Research Studies (1 paper), Mathematical Biology Tumor Growth (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Hepatology (93 citations), Cancer Research (154 citations), Oncology (133 citations), Molecular Biology (339 citations) and Genetics (26 citations). James Huber has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Daniel J. Hicklin, Yasuhide Ikenaka, Hitoshi Yoshiji, Toshiya Nakatani, Hiroshi Fukui, Shigeki Kuriyama, Junichi Yoshii, Hirohisa Tsujinoue, Ryuichi Noguchi and Hiroo Imazu. Their work appears in journals such as Hepatology, Cancer Research, Advances in experimental medicine and biology, Clinical Cancer Research and European Journal of Cancer Supplements.

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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