Jason Kost

1.4k citations
5 papers · 104 · h-index 4

Impact in

    • Cancer Genomics and Diagnostics
    • Viral-associated cancers and disorders
    • Cancer-related Molecular Pathways

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Studies on Chitinases and Chitosanases 1
    • Receptor Mechanisms and Signaling 1
    • Cancer-related Molecular Pathways 1
    • Polyomavirus and related diseases 1
    • Viral-associated cancers and disorders 1

Jason Kost

5 papers receiving 101 citations

Peers

Jason Kost
Comparison fields: 5 of 35
  • Cancer Research 20
  • Oncology 36
  • Molecular Biology 56
  • Hepatology 6
  • Ecology 18
Replace Jasper Wong with:
Jasper Wong Canada
Jitendra Narayan India
Yoandris del Toro Duany Switzerland
Chi-Dung Yang Taiwan
Siritida Rabibhadana Thailand
Robert Tell United States
Abraham Gihawi United Kingdom
Agata Świa̧tkowska Poland
Eric Wilson United States
Jason Kost relative to Jasper Wong Canada Jasper Wong's profile →
Citations per field
00.5×1.7×
Jasper Wong · 1×
Citations per year

Countries citing papers authored by Jason Kost

Since Specialization
Citations

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

Fields of papers citing papers by Jason Kost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201944
2 202034
3 201820
4 20195
5 20231

About Jason Kost

Jason Kost is a scholar working on Molecular Biology, Oncology, Social Psychology, Ecology and Plant Science, having authored 5 papers that have together received 104 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Cancer-related Molecular Pathways (1 paper), Studies on Chitinases and Chitosanases (1 paper), Receptor Mechanisms and Signaling (1 paper), Polyomavirus and related diseases (1 paper), Viral-associated cancers and disorders (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Cancer Research (20 citations), Oncology (36 citations), Molecular Biology (56 citations), Hepatology (6 citations) and Ecology (18 citations). Jason Kost has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dawei Li, Xun Chen, Winnie S. Liang, Nathalie Wong, Jian Cao, Arvis Sulovari, Joseph R. Boyd, Deli Hong, Gary S. Stein and Janet L. Stein. Their work appears in journals such as Genome Research, Scientific Reports, Briefings in Bioinformatics, Journal of Cellular Physiology and Communications Biology.

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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