Deena Waddleton

645 citations
14 papers · 436 · h-index 11

Impact in

Papers in

    • Protein Tyrosine Phosphatases 8
    • Protein Kinase Regulation and GTPase Signaling 2
    • Glycosylation and Glycoproteins Research 2
    • Galectins and Cancer Biology 5

Deena Waddleton

14 papers receiving 421 citations

Peers

Deena Waddleton
Comparison fields: 5 of 63
  • Toxicology 70
  • Immunology 163
  • Molecular Biology 322
  • Organic Chemistry 73
  • Aquatic Science 17
Replace Yen‐Fang Keng with:
Yen‐Fang Keng United States
Zhong-Yin Zhang United States
Timothy R. Howes United States
Lawrence Andrade United States
Hadassa Weintraub France
A. Rotondi Italy
Michael T. Miura United States
Christiane Portemer France
Peter Gildsig Jansen Denmark
Mary D. Francis United States
Deena Waddleton relative to Yen‐Fang Keng United States Yen‐Fang Keng's profile →
Citations per field
00.5×2.9×
Yen‐Fang Keng · 1×
Citations per year

Countries citing papers authored by Deena Waddleton

Since Specialization
Citations

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

Fields of papers citing papers by Deena Waddleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200392
2 200460
3 200459
4 200853
5 200151
6 199533
7 199620
8 200219
9 200412
10 199910
11 199810
12 20056
13 20006
14 20075

About Deena Waddleton

Deena Waddleton is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Ecology and Oncology, having authored 14 papers that have together received 436 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Galectins and Cancer Biology (5 papers), Physiological and biochemical adaptations (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Glycosylation and Glycoproteins Research (2 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Toxicology (70 citations), Immunology (163 citations), Molecular Biology (322 citations), Organic Chemistry (73 citations) and Aquatic Science (17 citations). Deena Waddleton has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Chidambaram Ramachandran, Qingping Wang, Brian P. Kennedy, Kathryn Skorey, David H. Heeley, Wanda Cromlish, Ernest Asante‐Appiah, Michel Thérien, Chun Sing Li and Cheuk K. Lau. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Analytical Biochemistry, European Journal of Biochemistry, FEBS Journal and Journal of Medicinal Chemistry.

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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