Jennifer M. Dyson

1.8k citations
35 papers · 1.5k · h-index 21

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases

Papers in

    • Hedgehog Signaling Pathway Studies 7
    • Protein Kinase Regulation and GTPase Signaling 6
    • Renal and related cancers 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Genetic and Kidney Cyst Diseases 9

Jennifer M. Dyson

35 papers receiving 1.4k citations

Peers

Jennifer M. Dyson
Comparison fields: 5 of 111
  • Cell Biology 312
  • Genetics 339
  • Molecular Biology 838
  • Immunology and Allergy 39
  • Polymers and Plastics 86
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer M. Dyson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001140
2 2021125
3 2006110
4 201691
5 201985
6 201274
7 200373
8 201463
9 201255
10 201254
11 200552
12 201350
13 200846
14 200246
15 202245
16 201644
17 201042
18 200342
19 201741
20 202028

About Jennifer M. Dyson

Jennifer M. Dyson is a scholar working on Molecular Biology, Genetics, Cell Biology, Biomedical Engineering and Polymers and Plastics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (9 papers), Hedgehog Signaling Pathway Studies (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Conducting polymers and applications (4 papers), Renal and related cancers (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (312 citations), Genetics (339 citations), Molecular Biology (838 citations), Immunology and Allergy (39 citations) and Polymers and Plastics (86 citations). Jennifer M. Dyson has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Christina A. Mitchell, Wenlong Cheng, Shu Gong, Quanxia Lyu, Sarah E. Conduit, Imogen D. Coghill, Denny L. Cottle, Harshal Nandurkar, Lisa M. Ooms and Rajendra Gurung. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, Nature Communications, Advanced Healthcare Materials and The Journal of Cell 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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