C. Jacobs

815 citations
6 papers · 562 · h-index 6

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Signaling Pathways in Disease 1
    • Protein Degradation and Inhibitors 1
    • Lipid Membrane Structure and Behavior 1
    • Nerve injury and regeneration 2
    • Neuroscience and Neuropharmacology Research 2

C. Jacobs

6 papers receiving 560 citations

Peers

C. Jacobs
Comparison fields: 5 of 78
  • Biophysics 94
  • Structural Biology 11
  • Molecular Biology 408
  • Cellular and Molecular Neuroscience 101
  • Cell Biology 86
Replace Benjamin Pavie with:
Benjamin Pavie Belgium
Kim Buay Lim Singapore
Daichi Kamiyama United States
Brian Burkel United States
Frieda Kage Germany
Lindsay Haarbosch Netherlands
Jessica L. Henty-Ridilla United States
David Chéreau United States
David J. Kast United States
Gisela Beck Germany
C. Jacobs relative to Benjamin Pavie Belgium Benjamin Pavie's profile →
Citations per field
00.5×8.3×
Benjamin Pavie · 1×
Citations per year

Countries citing papers authored by C. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by C. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C. Jacobs, 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 C. Jacobs Line = papers co-authored together C. Jacobs links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2016287
2 2015168
3 200833
4 201833
5 201426
6 201115

About C. Jacobs

C. Jacobs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Biophysics, having authored 6 papers that have together received 562 indexed citations. Recurring topics across this work include Nerve injury and regeneration (2 papers), Neuroscience and Neuropharmacology Research (2 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Signaling Pathways in Disease (1 paper), Cell Image Analysis Techniques (1 paper), Protein Degradation and Inhibitors (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Biophysics (94 citations), Structural Biology (11 citations), Molecular Biology (408 citations), Cellular and Molecular Neuroscience (101 citations) and Cell Biology (86 citations). C. Jacobs has collaborated with scholars based in United States. Frequent co-authors include Michael Z. Lin, Bryce T. Bajar, Amy Lam, Michael W. Davidson, Jun Chu, H. Kay Chung, Richard K. Plemper, Jin Yang, Stefanie A. Krumm and Roger Y. Tsien. Their work appears in journals such as Developmental Neurobiology, Scientific Reports, Nature Chemical Biology, Nature Methods and Journal of Neuroscience.

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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