Edward Matelan

478 citations
8 papers · 364 · h-index 8

Impact in

    • Catalytic C–H Functionalization Methods
    • Catalytic Cross-Coupling Reactions
    • Sulfur-Based Synthesis Techniques
    • Synthesis and Biological Evaluation
    • Synthesis and Catalytic Reactions

Papers in

    • Receptor Mechanisms and Signaling 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Cytokine Signaling Pathways and Interactions 3

Edward Matelan

8 papers receiving 350 citations

Peers

Edward Matelan
Comparison fields: 5 of 72
  • Organic Chemistry 129
  • Toxicology 11
  • Genetics 80
  • Cancer Research 38
  • Oncology 63
Replace Gérard Sanz with:
Gérard Sanz France
Christian Harcken United States
Shuichi Furuya Japan
Wolfgang Schwede Germany
Scott Wolfrom United States
James J. Perkins United States
Qiu Xie United States
Bryant A. Gilbert United States
Jeffrey C. Kern United States
Jeffery A. Zablocki United States
Edward Matelan relative to Gérard Sanz France Gérard Sanz's profile →
Citations per field
00.5×1.5×2×2.3×
Gérard Sanz · 1×
Citations per year

Countries citing papers authored by Edward Matelan

Since Specialization
Citations

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

Fields of papers citing papers by Edward Matelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2005123
2 200072
3 200461
4 200958
5 200023
6 200611
7 20028
8 20028

About Edward Matelan

Edward Matelan is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 364 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), NF-κB Signaling Pathways (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Organic Chemistry (129 citations), Toxicology (11 citations), Genetics (80 citations), Cancer Research (38 citations) and Oncology (63 citations). Edward Matelan has collaborated with scholars based in Canada and United States. Frequent co-authors include Robert J. Steffan, Mark A. Ashwell, Susan Chippari, Eugene J. Trybulski, Douglas C. Harnish, James C. Keith, A Eckert, Christopher C. Chadwick, Dominick Quagliato and Lisa Borges-Marcucci. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, The Journal of Organic Chemistry and Current Topics in Medicinal 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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