Jacob Kames

572 citations
10 papers · 218 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 3
    • Genomics and Phylogenetic Studies 2
    • vaccines and immunoinformatics approaches 2
    • Signaling Pathways in Disease 1
    • SARS-CoV-2 and COVID-19 Research 2

Jacob Kames

10 papers receiving 215 citations

Peers

Jacob Kames
Comparison fields: 5 of 51
  • Infectious Diseases 64
  • Molecular Biology 142
  • Animal Science and Zoology 16
  • Endocrinology 6
  • Ecology 27
Replace David D. Holcomb with:
David D. Holcomb United States
Vanessa Meier‐Stephenson Canada
Neha J. Pancholi United States
Samantha L. Schuster United States
Denzel Eggermont Belgium
Lynda Rocheleau Canada
Matthew Urbanowski Canada
Batsheva Rozman Israel
Christina Öhrmalm Sweden
Siling Liu China
Jacob Kames relative to David D. Holcomb United States David D. Holcomb's profile →
Citations per field
00.5×1.5×
David D. Holcomb · 1×
Citations per year

Countries citing papers authored by Jacob Kames

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Kames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201997
2 202040
3 202026
4 202115
5 202112
6 20198
7 20227
8 20216
9 20215
10 20222

About Jacob Kames

Jacob Kames is a scholar working on Molecular Biology, Infectious Diseases, Hematology, Genetics and Animal Science and Zoology, having authored 10 papers that have together received 218 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), vaccines and immunoinformatics approaches (2 papers), Signaling Pathways in Disease (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Infectious Diseases (64 citations), Molecular Biology (142 citations), Animal Science and Zoology (16 citations), Endocrinology (6 citations) and Ecology (27 citations). Jacob Kames has collaborated with scholars based in United States. Frequent co-authors include Chava Kimchi‐Sarfaty, Aikaterini Alexaki, David D. Holcomb, Nobuko Hamasaki‐Katagiri, Anton A. Komar, Haim Bar, Luis V. Santana‐Quintero, John C. Athey, Ekaterina Osipova and Michael DiCuccio. Their work appears in journals such as Journal of Molecular Biology, Blood Advances, Scientific Reports, The American Journal of Human Genetics and PLoS Computational 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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