Jacob John

808 citations
5 papers · 684 · h-index 5

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Cell death mechanisms and regulation
    • Melanoma and MAPK Pathways
    • Protein Structure and Dynamics

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Cell death mechanisms and regulation 2
    • DNA and Nucleic Acid Chemistry 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Cancer-related Molecular Pathways 3
    • Metal complexes synthesis and properties 1

Jacob John

5 papers receiving 661 citations

Peers

Jacob John
Comparison fields: 5 of 61
  • Cell Biology 197
  • Molecular Biology 566
  • Oncology 174
  • Biochemistry 24
  • Immunology and Allergy 18
Replace Eva Bekesi with:
Eva Bekesi United States
Patricia Stege Germany
Hagit Niv Israel
Nicole St‐Denis Canada
Kejin Zhu United States
L. Gutiérrez Venezuela
Maria L. McGlone United States
Emily J. Chenette United States
Annette Christensen Denmark
Manuel Villa‐Garcia United States
Jacob John relative to Eva Bekesi United States Eva Bekesi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jacob John

Since Specialization
Citations

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

Fields of papers citing papers by Jacob John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jacob John, 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 John Line = papers co-authored together Jacob John links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Jacob John

Jacob John is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Genetics and Biophysics, having authored 5 papers that have together received 684 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer-related Molecular Pathways (3 papers), Enzyme Structure and Function (2 papers), Cell death mechanisms and regulation (2 papers), Metal complexes synthesis and properties (1 paper), Digestive system and related health (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Cell Biology (197 citations), Molecular Biology (566 citations), Oncology (174 citations), Biochemistry (24 citations) and Immunology and Allergy (18 citations). Jacob John has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alfred Wittinghofer, Matthias Frech, Ilme Schlichting, Wolfgang Kabsch, Anna Scherer, Ute Krengel, E.F. Pai, Robin Clark, Pierre Teilhard de Chardin and Véronique Pizon. Their work appears in journals such as European Journal of Biochemistry, Science, Molecular and Cellular Biology, Biochemistry and Cell.

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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