Thomas E. Whittaker

767 citations
7 papers · 601 · h-index 6

Impact in

Papers in

    • Extracellular vesicles in disease 4
    • Glycosylation and Glycoproteins Research 1
    • Pluripotent Stem Cells Research 1
    • RNA Interference and Gene Delivery 1
    • Circular RNAs in diseases 1
    • MicroRNA in disease regulation 3

Thomas E. Whittaker

7 papers receiving 597 citations

Peers

Thomas E. Whittaker
Comparison fields: 5 of 77
  • Cancer Research 114
  • Biomaterials 95
  • Genetics 56
  • Cell Biology 85
  • Molecular Biology 328
Replace Gaia Zuccolotto with:
Gaia Zuccolotto Italy
Lu Ge China
Ziran Xu China
Miina Ojansivu Finland
Stephen Lenzini United States
Junaid Afzal United States
Shreya Raghavan United States
Weiyi Qian United States
Zhifeng You China
MoonSun Jung Australia
Thomas E. Whittaker relative to Gaia Zuccolotto Italy Gaia Zuccolotto's profile →
Citations per field
00.5×1.5×
Gaia Zuccolotto · 1×
Citations per year

Countries citing papers authored by Thomas E. Whittaker

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Whittaker. 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 Thomas E. Whittaker. The network helps show where Thomas E. Whittaker may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2016194
2 2021155
3 2019112
4 202060
5 202451
6 202026
7 20253

About Thomas E. Whittaker

Thomas E. Whittaker is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Cell Biology and Genetics, having authored 7 papers that have together received 601 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers), Nanomaterials and Printing Technologies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Pluripotent Stem Cells Research (1 paper), RNA Interference and Gene Delivery (1 paper), Circular RNAs in diseases (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Cancer Research (114 citations), Biomaterials (95 citations), Genetics (56 citations), Cell Biology (85 citations) and Molecular Biology (328 citations). Thomas E. Whittaker has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Molly M. Stevens, Anika Nagelkerke, Peter Papathanasiou, Vincent Leonardo, Spencer W. Crowder, Daniel Hachim, Hyemin Kim, Andreia Silva, Eoghan M. Cunnane and Luke van der Koog. Their work appears in journals such as Journal of Extracellular Vesicles, Journal of Materials Chemistry B, Advanced Drug Delivery Reviews, Materials Today Advances and Journal of Controlled Release.

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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