Amato J. Giaccia

52.2k citations
350 papers · 40.3k indexed · 14 hit papers · h-index 103
  • Cancer Research top 0.01%
    • Cancer, Hypoxia, and Metabolism 167
  • Oncology top 0.05%
    • Cancer-related Molecular Pathways 41
    • RNA modifications and cancer 35
    • Epigenetics and DNA Methylation 27
    • DNA Repair Mechanisms 21
    • Mitochondrial Function and Pathology 20
  • Cell Biology top 0.1%
  • Biotechnology top 0.05%
    • Cancer Research and Treatments 28
    • Phagocytosis and Immune Regulation 17

Amato J. Giaccia

346 papers receiving 39.7k citations

Hit Papers

Pre-metastatic niches: ...1.4k199420262004201510002.0k3.0k

Peers

Amato J. Giaccia
Comparison fields: 5 of 171
  • Cancer Research 17.4k
  • Oncology 10.8k
  • Molecular Biology 23.1k
  • Cell Biology 4.3k
  • Biotechnology 2.1k
Replace Kornélia Polyák with:
Kornélia Polyák United States
M. Celeste Simon United States
Richard G. Pestell United States
Gerry Melino Italy
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William G. Kaelin United States
Jacques Pouysségur France
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Citations per field
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Kornélia Polyák · 1×
Citations per year

Countries citing papers authored by Amato J. Giaccia

Since Specialization
Citations

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

Fields of papers citing papers by Amato J. Giaccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amato J. Giaccia. 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 Amato J. Giaccia. The network helps show where Amato J. Giaccia may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202216
2 202142
3 20206
4 201951
5 201948
6 201838
7 20189
8 201749
9 201627
10 201535
11 201454
12 201322
13 201241
14 2011456
15 2011109
16 2010181
17 201063
18 200928
19 2009278
20 200434

About Amato J. Giaccia

Amato J. Giaccia is a scholar working on Cancer Research, Biotechnology and Molecular Biology, having authored 350 papers that have together received 40.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (167 papers), Cancer-related Molecular Pathways (41 papers), RNA modifications and cancer (35 papers), Cancer Research and Treatments (28 papers), Epigenetics and DNA Methylation (27 papers), DNA Repair Mechanisms (21 papers), Mitochondrial Function and Pathology (20 papers) and Phagocytosis and Immune Regulation (17 papers). The work is most often cited by research in Cancer Research (17.4k citations), Oncology (10.8k citations) and Molecular Biology (23.1k citations). Amato J. Giaccia has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Erinn B. Rankin, Jeremy Brown, Denise A. Chan, Albert C. Koong, Michael B. Kastan, Quynh‐Thu Le, Janine T. Erler, Randall S. Johnson, Ester M. Hammond and Nicholas Denko. Their work appears in journals such as Cancer Research, Molecular and Cellular Biology, International Journal of Radiation Oncology*Biology*Physics, Clinical Cancer Research and Proceedings of the National Academy of Sciences.

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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