Art Raitano

1.2k citations
4 papers · 1.0k · 1 hit paper · h-index 4

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Art Raitano

4 papers receiving 984 citations

Art Raitano's Hit Papers

A Cytoplasmic Inhibitor of the JNK Signal Transduction Pathway 1997 · 597 citations
5970+9+19Years since publication100200300400500

Peers

Art Raitano
Comparison fields: 5 of 76
  • Hematology 224
  • Genetics 126
  • Molecular Biology 678
  • Oncology 192
  • Cancer Research 96
Replace Elzbieta Radziejewska with:
Elzbieta Radziejewska United States
Christine M. Stellrecht United States
Sandra L. Ross United States
Gautam Sondarva United States
Patricia A. Zipfel United States
Ron de Jong United States
PETER G. H. BYFIELD United Kingdom
Erica O’Bryan United States
Erik Kupperman United States
Da-Sheng Wang United States
Art Raitano relative to Elzbieta Radziejewska United States Elzbieta Radziejewska's profile →
Citations per field
00.5×12×
Elzbieta Radziejewska · 1×
Citations per year

Countries citing papers authored by Art Raitano

Since Specialization
Citations

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

Fields of papers citing papers by Art Raitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Art Raitano, 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 Art Raitano Line = papers co-authored together Art Raitano links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Art Raitano

Art Raitano is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmacology, Genetics and Radiation, having authored 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (1 paper), Boron and Carbon Nanomaterials Research (1 paper), Boron Compounds in Chemistry (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Melanoma and MAPK Pathways (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Hematology (224 citations), Genetics (126 citations), Molecular Biology (678 citations), Oncology (192 citations) and Cancer Research (96 citations). Art Raitano has collaborated with scholars based in United States and Japan. Frequent co-authors include Charles L. Sawyers, Tina Hambuch, Julie Cavanagh, Jeffrey S. Rogers, Martin Dickens, Zhengui Xia, Michael E. Greenberg, Roger J. Davis, Murray Korc and Kotaro Matsumoto. Their work appears in journals such as Science, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Nanoscale Advances.

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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