G M Ringold

15.1k citations
80 papers · 12.8k indexed · 6 hit papers · h-index 49

G M Ringold

80 papers receiving 11.9k citations

Hit Papers

Peroxisome Proliferator-activated Receptors α and...960197520261992200910002.0k3.0k4.0k

Peers

G M Ringold
Comparison fields: 5 of 138
  • Genetics 4.4k
  • Molecular Biology 8.9k
  • Immunology 2.0k
  • Cancer Research 887
  • Biochemistry 404
Replace Koiti Titani with:
Koiti Titani Japan
James R. Feramisco United States
Russell M. Lebovitz United States
Rolf Müller Germany
Peter F. Johnson United States
John David Dignam United States
Larry R. Pease United States
David M. Neville United States
Clive A. Slaughter United States
Suresh Subramani United States
G M Ringold relative to Koiti Titani Japan Koiti Titani's profile →
Citations per field
00.5×1.6×
Koiti Titani · 1×
Citations per year

Countries citing papers authored by G M Ringold

Since Specialization
Citations

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

Fields of papers citing papers by G M Ringold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G M Ringold. 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 G M Ringold. The network helps show where G M Ringold may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Peroxisome Proliferator-activated Receptors α and γ Are Activated by Indomethacin and Other Non-steroidal Anti-inflammatory Drugsbreakdown →
1997960
2 199253
3 19917
4 19918
5 199162
6 199127
7 199142
8 1989291
9
Cationic liposome-mediated transfectionbreakdown →
1989756
10 198882
11 198814
12 198814
13 1987145
14 198750
15 198423
16 198335
17 198330
18 1981422
19 198053
20 197824

About G M Ringold

G M Ringold is a scholar working on Genetics, Immunology, Animal Science and Zoology, Molecular Biology and Biochemistry, having authored 80 papers that have together received 12.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Virus-based gene therapy research (20 papers), RNA Interference and Gene Delivery (16 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), RNA Research and Splicing (11 papers), Adipose Tissue and Metabolism (10 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Genetics (4.4k citations), Molecular Biology (8.9k citations), Immunology (2.0k citations), Cancer Research (887 citations) and Biochemistry (404 citations). G M Ringold has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Philip L. Felgner, Mark Danielsen, Jeffrey P. Northrop, Hardy Chan, R. M. Roman, Mai Marie Holm, Thomas R. Gadek, Harold Varmus, B Dieckmann and Frank M. Torti. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Endocrinology, Cell and Molecular and Cellular Biology.

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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