William Twaddel

628 citations
4 papers · 501 · h-index 4

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Metabolism, Diabetes, and Cancer
    • Mitochondrial Function and Pathology
    • Peroxisome Proliferator-Activated Receptors

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • PI3K/AKT/mTOR signaling in cancer 1
    • Mitochondrial Function and Pathology 1
    • Ubiquitin and proteasome pathways 1
    • Peroxisome Proliferator-Activated Receptors 1
    • Cancer, Hypoxia, and Metabolism 2
    • Cancer, Lipids, and Metabolism 2

William Twaddel

4 papers receiving 495 citations

Peers

William Twaddel
Comparison fields: 5 of 70
  • Cancer Research 236
  • Molecular Biology 379
  • Biochemistry 29
  • Aging 7
  • Geriatrics and Gerontology 11
Replace Bor Jang Hwang with:
Bor Jang Hwang United States
Emily Montal United States
David Partida Spain
Hyelin Na South Korea
Yewei Ma United States
Amanda Hutchins United States
Laura Sánchez-Cenizo Spain
Charlie Marvalim Singapore
Bingjun Lu China
Fahim Ahmad India
William Twaddel relative to Bor Jang Hwang United States Bor Jang Hwang's profile →
Citations per field
00.5×1.5×
Bor Jang Hwang · 1×
Citations per year

Countries citing papers authored by William Twaddel

Since Specialization
Citations

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

Fields of papers citing papers by William Twaddel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About William Twaddel

William Twaddel is a scholar working on Molecular Biology, Cancer Research, Physiology, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 501 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Adipose Tissue and Metabolism (1 paper), Mitochondrial Function and Pathology (1 paper), Ubiquitin and proteasome pathways (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Cancer Research (236 citations), Molecular Biology (379 citations), Biochemistry (29 citations), Aging (7 citations) and Geriatrics and Gerontology (11 citations). William Twaddel has collaborated with scholars based in United States. Frequent co-authors include Bor Jang Hwang, Geoffrey D. Girnun, Kavita Bhalla, Ruby E. Dewi, Lihui Ou, László G. Boros, Kwok‐Kin Wong, Shyam Biswal, Hong‐Bin Fang and Neeraj K. Saxena. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, Cancer Research and Cancer Prevention Research.

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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