J.A. Crapster

634 citations
10 papers · 523 · h-index 8

Impact in

    • Carbohydrate Chemistry and Synthesis
    • Click Chemistry and Applications
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Chemical Synthesis and Analysis 5
    • Biochemical and Structural Characterization 3
    • Melanoma and MAPK Pathways 2
    • Hedgehog Signaling Pathway Studies 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Epigenetics and DNA Methylation 2
    • Carbohydrate Chemistry and Synthesis 4

J.A. Crapster

9 papers receiving 519 citations

Peers

J.A. Crapster
Comparison fields: 5 of 55
  • Organic Chemistry 228
  • Microbiology 48
  • Molecular Biology 453
  • Biomaterials 67
  • Spectroscopy 62
Replace Tony Johnson with:
Tony Johnson United Kingdom
Laura Nevola Spain
Fernando Ferrer United States
Gianine Figliozzi United States
Avinash Muppidi United States
Cécile Caumes France
J.R. Stringer United States
Jennifer L. Hickey Canada
Chiara Zorn Germany
Erik B. Hadley United States
J.A. Crapster relative to Tony Johnson United Kingdom Tony Johnson's profile →
Citations per field
00.5×5.5×
Tony Johnson · 1×
Citations per year

Countries citing papers authored by J.A. Crapster

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Crapster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Crapster. 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 J.A. Crapster. The network helps show where J.A. Crapster may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011188
2 2013103
3 201078
4 201148
5 202045
6 201434
7 201312
8 20178
9 20237
10 20240

About J.A. Crapster

J.A. Crapster is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Genetics and Genetics, having authored 10 papers that have together received 523 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Biochemical and Structural Characterization (3 papers), Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Organic Chemistry (228 citations), Microbiology (48 citations), Molecular Biology (453 citations), Biomaterials (67 citations) and Spectroscopy (62 citations). J.A. Crapster has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Helen E. Blackwell, Ilia A. Guzei, J.R. Stringer, James Chen, Philip D. Rack, John K. Mich, Ari J. Firestone, Jennifer S Lin, Ryan D. Leib and Christopher M. Adams. Their work appears in journals such as Journal of the American Chemical Society, Cell chemical biology, Biopolymers, The Journal of Organic Chemistry and eLife.

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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