Janice Saxton

690 citations
25 papers · 590 · h-index 16

Impact in

  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Ubiquitin and proteasome pathways 5
    • Genomics and Chromatin Dynamics 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Melanoma and MAPK Pathways 2
    • RNA Research and Splicing 2
    • Cancer, Lipids, and Metabolism 4

Janice Saxton

24 papers receiving 573 citations

Peers

Janice Saxton
Comparison fields: 5 of 80
  • Biochemistry 45
  • Molecular Biology 378
  • Cancer Research 75
  • Nutrition and Dietetics 65
  • Biotechnology 35
Replace Beth A. Strifler with:
Beth A. Strifler United States
W. J. Salsgiver United States
M Delannoy United States
L. Alexis Hoeferlin United States
F. Cimino Italy
Hui-Ting Cao United States
Jeffrey L. Staecker United States
Doris Müller Germany
In-Sung Song South Korea
Yuki Kitaoka Japan
Janice Saxton relative to Beth A. Strifler United States Beth A. Strifler's profile →
Citations per field
00.5×1.5×2.3×
Beth A. Strifler · 1×
Citations per year

Countries citing papers authored by Janice Saxton

Since Specialization
Citations

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

Fields of papers citing papers by Janice Saxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003108
2 200875
3 198564
4 199648
5 198631
6 200126
7 198024
8 198523
9 201121
10 201921
11 198721
12 201816
13 198815
14 201615
15 195215
16 195515
17 200714
18 201311
19 19928
20 20155

About Janice Saxton

Janice Saxton is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Surgery, having authored 25 papers that have together received 590 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cancer, Lipids, and Metabolism (4 papers), Genomics and Chromatin Dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Melanoma and MAPK Pathways (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biochemistry (45 citations), Molecular Biology (378 citations), Cancer Research (75 citations), Nutrition and Dietetics (65 citations) and Biotechnology (35 citations). Janice Saxton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter E. Shaw, David N. Brindley, Andrew M. Salter, F. W. Hemming, A Martin, Paloma Martı́n-Sanz, John F. Peberdy, Matthew D. Galbraith, Li Li and Stéphanie Vougier. Their work appears in journals such as Biochemical Journal, Nucleic Acids Research, Journal of Biological Chemistry, Biochemical Pharmacology and Clinical Cancer 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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