John Byon

806 citations
20 papers · 686 · h-index 13

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction

Papers in

    • Protein Tyrosine Phosphatases 6
    • Galectins and Cancer Biology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3

John Byon

20 papers receiving 670 citations

Peers

John Byon
Comparison fields: 5 of 62
  • Toxicology 43
  • Immunology 200
  • Hematology 89
  • Oncology 188
  • Molecular Biology 454
Replace Merav Yoeli-Lerner with:
Merav Yoeli-Lerner United States
Sylvie Rodrigues France
Christine Teixeira Canada
Nobuhiro Tanuma Japan
Anita L. Korapati United States
Madhavi Bathina United States
Stephen P. Gygi United States
Babette Aicher Germany
Nuria Ajenjo Spain
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John Byon relative to Merav Yoeli-Lerner United States Merav Yoeli-Lerner's profile →
Citations per field
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Merav Yoeli-Lerner · 1×
Citations per year

Countries citing papers authored by John Byon

Since Specialization
Citations

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

Fields of papers citing papers by John Byon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1998251
2 201888
3 199753
4 202244
5 201243
6 199742
7 201131
8 201427
9 199817
10 201515
11 201615
12 200114
13 201313
14 201612
15 20148
16 20225
17 20243
18 20003
19 20171
20 20241

About John Byon

John Byon is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Cancer Research, having authored 20 papers that have together received 686 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (6 papers), Galectins and Cancer Biology (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Acute Myeloid Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers), MicroRNA in disease regulation (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Toxicology (43 citations), Immunology (200 citations), Hematology (89 citations), Oncology (188 citations) and Molecular Biology (454 citations). John Byon has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Jyotirmoy Kusari, Anasua B. Kusari, Kathleen A. Kenner, Thalia Papayannopoulou, Debdutta Bandyopadhyay, Kelvin P. Lee, Sham Mailankody, Julia Piasecki, A. Mario Marcondes and Andrzej Jakubowiak. Their work appears in journals such as Blood, Molecular and Cellular Biochemistry, Journal of Clinical Oncology, Experimental Biology and Medicine and Haematologica.

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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