John E. Starrett

2.1k citations
26 papers · 1.6k indexed · h-index 19

Impact in

    • Antioxidant Activity and Oxidative Stress
    • Retinoids in leukemia and cellular processes
    • Ion channel regulation and function

Papers in

John E. Starrett

25 papers receiving 1.6k citations

Peers

John E. Starrett
Comparison fields: 5 of 110
  • Biochemistry 148
  • Molecular Biology 901
  • Genetics 355
  • Cellular and Molecular Neuroscience 221
  • Organic Chemistry 298
Replace H. Nakai with:
H. Nakai Japan
Yansong Gu United States
Yanshun Liu China
В. Н. Смирнов Russia
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Brent A. Bell United States
Y Kagawa Japan
Bowen Zhou China
Yoshiyuki Suzuki Japan
Michael J. Borrelli United States
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Citations per field
00.5×9.9×
H. Nakai · 1×
Citations per year

Countries citing papers authored by John E. Starrett

Since Specialization
Citations

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

Fields of papers citing papers by John E. Starrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Starrett. 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 John E. Starrett. The network helps show where John E. Starrett may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991352
2 1995225
3 1996164
4 1994109
5 200198
6 199292
7 200475
8 199665
9 199556
10 198655
11 198151
12 199645
13 199835
14 200432
15
Inhibition of disease progression by a novel retinoid antagonist in animal models of arthritis.
200328
16 200228
17 198422
18 200419
19 199118
20 199516

About John E. Starrett

John E. Starrett is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Virology and Organic Chemistry, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (10 papers), Estrogen and related hormone effects (7 papers), Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Photochromic and Fluorescence Chemistry (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Coordination Chemistry and Organometallics (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Biochemistry (148 citations), Molecular Biology (901 citations), Genetics (355 citations), Cellular and Molecular Neuroscience (221 citations) and Organic Chemistry (298 citations). John E. Starrett has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jon Isaacs, Sia Nemat‐Nasser, Valentin K. Gribkoff, Steven I. Dworetzky, David R. Tortolani, Peter R. Reczek, Hinrich Gronemeyer, Pierre Chambon, Jacek Ostrowski and Michael J. M. Hitchcock. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Investigative Dermatology and Nature.

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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