Phyllis Harbor

1.0k citations
8 papers · 867 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Toxin Mechanisms and Immunotoxins
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 6
    • Protein Tyrosine Phosphatases 2
    • Melanoma and MAPK Pathways 2
    • PI3K/AKT/mTOR signaling in cancer 2

Phyllis Harbor

8 papers receiving 861 citations

Peers

Phyllis Harbor
Comparison fields: 5 of 72
  • Immunology 362
  • Oncology 402
  • Cancer Research 182
  • Genetics 92
  • Molecular Biology 401
Replace Diego Maritano with:
Diego Maritano Italy
Makoto Ichiba Japan
Sudipta Mahajan United States
John I. Song United States
Justine E. Roderick United States
K Yamamoto Japan
Katja Brocke-Heidrich Germany
B Hazelton United States
Yuanyang Yuan China
Soon Ha Kim South Korea
Phyllis Harbor relative to Diego Maritano Italy Diego Maritano's profile →
Citations per field
00.5×1.5×
Diego Maritano · 1×
Citations per year

Countries citing papers authored by Phyllis Harbor

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Harbor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002317
2 1998146
3
IL-13R(alpha)2, a decoy receptor for IL-13 acts as an inhibitor of IL-4-dependent signal transduction in glioblastoma cells.
2002140
4 201189
5 200056
6 200951
7 200549
8 200519

About Phyllis Harbor

Phyllis Harbor is a scholar working on Oncology, Molecular Biology, Pharmacology, Immunology and Genetics, having authored 8 papers that have together received 867 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (2 papers), Melanoma and MAPK Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), MicroRNA in disease regulation (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (362 citations), Oncology (402 citations), Cancer Research (182 citations), Genetics (92 citations) and Molecular Biology (401 citations). Phyllis Harbor has collaborated with scholars based in United States, India and Canada. Frequent co-authors include S. Jaharul Haque, Shaik O. Rahaman, Gene H. Barnett, Olga Chernova, Michael A. Vogelbaum, Bryan Williams, Taolin Yi, Mina Tabrizi, Pankaj Sharma and M. Javad Aman. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Clinical Cancer Research, Journal of Interferon & Cytokine Research and American Journal of Respiratory and Critical Care Medicine.

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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