David Yeagley

528 citations
8 papers · 455 · h-index 7

Impact in

  • Aging top 10%
    • Metabolism, Diabetes, and Cancer
    • FOXO transcription factor regulation
    • Glycosylation and Glycoproteins Research
    • Protein Kinase Regulation and GTPase Signaling
    • Chemical Synthesis and Analysis

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • FOXO transcription factor regulation 2
    • Retinoids in leukemia and cellular processes 1
    • Pancreatic function and diabetes 3

David Yeagley

8 papers receiving 449 citations

Peers

David Yeagley
Comparison fields: 5 of 63
  • Aging 22
  • Molecular Biology 327
  • Organic Chemistry 124
  • Endocrinology, Diabetes and Metabolism 68
  • Physiology 76
Replace A. G. Long with:
A. G. Long China
Hiromi Suda Japan
Md. Morshedul Alam Bangladesh
Marie-Hélène Grazide France
Andrew Vila United States
Haushabhau S. Pagire South Korea
Hideka Hosaka Japan
Larry L. Louters United States
María Cristina Galli Italy
Emilio Montero Spain
David Yeagley relative to A. G. Long China A. G. Long's profile →
Citations per field
00.5×4.4×
A. G. Long · 1×
Citations per year

Countries citing papers authored by David Yeagley

Since Specialization
Citations

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

Fields of papers citing papers by David Yeagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside David Yeagley, 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 David Yeagley Line = papers co-authored together David Yeagley links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1997126
2 2005100
3 200185
4 199874
5 199839
6 200019
7 200411
8 19961

About David Yeagley

David Yeagley is a scholar working on Molecular Biology, Surgery, Organic Chemistry, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 8 papers that have together received 455 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), FOXO transcription factor regulation (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Molecular spectroscopy and chirality (1 paper), Enzyme Production and Characterization (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Aging (22 citations), Molecular Biology (327 citations), Organic Chemistry (124 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Physiology (76 citations). David Yeagley has collaborated with scholars based in United States and Canada. Frequent co-authors include Patrick G. Quinn, P G Quinn, Yves L. Dory, Pierre Deslongchamps, Momčilo Miljković, Shaodong Guo, Terry G. Unterman, Charles Vinson, Jonathan R. Moll and Alan J. Benesi. Their work appears in journals such as Journal of Biological Chemistry, Carbohydrate Research, The Journal of Organic Chemistry, Molecular Endocrinology and PubMed.

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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