Jared T. Moore

489 citations
16 papers · 354 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • Asymmetric Synthesis and Catalysis
    • Catalytic C–H Functionalization Methods
    • Synthetic Organic Chemistry Methods
    • Sulfur-Based Synthesis Techniques

Papers in

    • Asymmetric Synthesis and Catalysis 4
    • Synthetic Organic Chemistry Methods 2
    • Click Chemistry and Applications 2
    • Cancer therapeutics and mechanisms 2

Jared T. Moore

16 papers receiving 354 citations

Peers

Jared T. Moore
Comparison fields: 5 of 49
  • Molecular Medicine 40
  • Organic Chemistry 226
  • Inorganic Chemistry 76
  • Toxicology 14
  • Pharmaceutical Science 13
Replace Erika Leemans with:
Erika Leemans Belgium
Clémence Liébert Germany
Sigmond G. Johnson United States
Caterina Noula Greece
Ricardo Lira United States
Mark G. Charest United States
Adam Mieczkowski Poland
Dane M. Springer United States
Tomoyuki Kimura Japan
Jean‐Noël Denis France
Jared T. Moore relative to Erika Leemans Belgium Erika Leemans's profile →
Citations per field
00.5×1.6×
Erika Leemans · 1×
Citations per year

Countries citing papers authored by Jared T. Moore

Since Specialization
Citations

This map shows the geographic impact of Jared T. Moore'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 Jared T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared T. Moore more than expected).

Fields of papers citing papers by Jared T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared T. Moore. 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 Jared T. Moore. The network helps show where Jared T. Moore may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201792
2 201268
3 201649
4 201532
5 201428
6 201227
7 201223
8 202010
9 20138
10 20175
11 20103
12 20212
13 20222
14 20202
15 20192
16 20201

About Jared T. Moore

Jared T. Moore is a scholar working on Organic Chemistry, Molecular Biology, Physiology, Ecology and Oncology, having authored 16 papers that have together received 354 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Asymmetric Synthesis and Catalysis (4 papers), Peptidase Inhibition and Analysis (2 papers), Cancer therapeutics and mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), Antibiotic Resistance in Bacteria (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Molecular Medicine (40 citations), Organic Chemistry (226 citations), Inorganic Chemistry (76 citations), Toxicology (14 citations) and Pharmaceutical Science (13 citations). Jared T. Moore has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Brian M. Stoltz, Jared T. Shaw, Ilan Marek, Pavel Starkov, Justin T. Mohr, James B. Ames, David E. Anderson, Terrence E. O’Brien, Laura L. Lackner and Nohemy A. Sorto. Their work appears in journals such as Cancer Research, ACS Medicinal Chemistry Letters, Organic Letters, ACS Chemical Biology and Blood.

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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