Jared T. Moore

518 citations
16 papers · 435 · h-index 10

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Asymmetric Synthesis and Catalysis
    • Catalytic C–H Functionalization Methods
    • Synthetic Organic Chemistry Methods

Papers in

    • Adenosine and Purinergic Signaling 4
    • Asymmetric Synthesis and Catalysis 4
    • Synthetic Organic Chemistry Methods 2

Jared T. Moore

15 papers receiving 418 citations

Peers

Jared T. Moore
Comparison fields: 5 of 58
  • Physiology 47
  • Organic Chemistry 257
  • Molecular Medicine 42
  • Inorganic Chemistry 83
  • Toxicology 18
Replace Adam Mieczkowski with:
Adam Mieczkowski Poland
Seiji Shibahara Japan
Héctor Salgado‐Zamora Mexico
Ling‐Jie Gao Belgium
Hitoshi Hotoda Japan
Matthew C. O’Reilly United States
Rebecca N. Adamek United States
Woo‐Baeg Choi United States
Sandeep R. Ghorpade United States
Eman M.E. Dokla Egypt
Jared T. Moore relative to Adam Mieczkowski Poland Adam Mieczkowski's profile →
Citations per field
00.5×2×4×5.9×
Adam Mieczkowski · 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 201799
2 201271
3 201658
4 202039
5 201535
6 201432
7 201229
8 201224
9 202414
10 202011
11 20138
12 20176
13 20224
14 20103
15 20192
16 20250

About Jared T. Moore

Jared T. Moore is a scholar working on Physiology, Organic Chemistry, Molecular Medicine, Oncology and Inorganic Chemistry, having authored 16 papers that have together received 435 indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (4 papers), Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (3 papers), Synthetic Organic Chemistry Methods (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Physiology (47 citations), Organic Chemistry (257 citations), Molecular Medicine (42 citations), Inorganic Chemistry (83 citations) and Toxicology (18 citations). Jared T. Moore has collaborated with scholars based in United States and Israel. Frequent co-authors include Brian M. Stoltz, Jared T. Shaw, Pavel Starkov, Ilan Marek, Justin T. Mohr, Terrence E. O’Brien, David E. Anderson, James B. Ames, Douglas B. Weibel and Nohemy A. Sorto. Their work appears in journals such as ACS Chemical Biology, Organic Letters, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Tetrahedron Letters.

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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