James Sipthorp

405 citations
12 papers · 296 · h-index 9

Impact in

    • Chemical Synthesis and Analysis
    • Melanoma and MAPK Pathways
    • Ubiquitin and proteasome pathways
    • Wnt/β-catenin signaling in development and cancer
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Chemical Synthesis and Analysis 3
    • Cancer-related gene regulation 2
    • RNA and protein synthesis mechanisms 2
    • Peptidase Inhibition and Analysis 2

James Sipthorp

12 papers receiving 293 citations

Peers

James Sipthorp
Comparison fields: 5 of 60
  • Molecular Biology 208
  • Oncology 64
  • Organic Chemistry 68
  • Computational Theory and Mathematics 36
  • Physiology 8
Replace Canguo Zhao with:
Canguo Zhao China
Zuohe Song United States
Han-Li Huang Taiwan
Taijin Wang China
Min‐Wu Chao Taiwan
Jin-Yi Zhu United States
Sachio Shibata Japan
Nemanja Djoković Serbia
Tania Tahtouh France
David K. Miyamoto United States
James Sipthorp relative to Canguo Zhao China Canguo Zhao's profile →
Citations per field
00.5×4.9×
Canguo Zhao · 1×
Citations per year

Countries citing papers authored by James Sipthorp

Since Specialization
Citations

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

Fields of papers citing papers by James Sipthorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018136
2 202429
3 201923
4 201721
5 201719
6 202018
7 201914
8 202413
9 20218
10 20178
11 20174
12 20223

About James Sipthorp

James Sipthorp is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Computational Theory and Mathematics, having authored 12 papers that have together received 296 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Peptidase Inhibition and Analysis (2 papers), Computational Drug Discovery Methods (2 papers), Cancer-related gene regulation (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (208 citations), Oncology (64 citations), Organic Chemistry (68 citations), Computational Theory and Mathematics (36 citations) and Physiology (8 citations). James Sipthorp has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Andrew M. Kidger, Simon J. Cook, Steven V. Ley, Wenshu Xu, Laura S. Itzhaki, Paul V. Fish, Juan Carlos Serrano, Magda Bictash, E. Yvonne Jones and Benjamin N. Atkinson. Their work appears in journals such as Organic & Biomolecular Chemistry, iScience, Cell Reports, Journal of Medicinal Chemistry and Bioconjugate Chemistry.

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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