Tom Dendooven
Impact in
- Structural Biology top 5%
-
- Microtubule and mitosis dynamics
Papers in
-
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 5
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- Photosynthetic Processes and Mechanisms 3
- Genetics 11
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Ben F. Luisi (15 shared papers)Alister Burt (5 shared papers)Katarzyna Bandyra (7 shared papers)David Barford (4 shared papers)Elisabeth Sonnleitner (3 shared papers)Udo Bläsi (3 shared papers)Stanislau Yatskevich (3 shared papers)Ziguo Zhang (3 shared papers)
- Journals
- RNA Biology (2 papers)Molecular Cell (2 papers)Science (2 papers)eLife (2 papers)Nature Methods (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Tom Dendooven
23 papers receiving 480 citations
Peers
Comparison fields: 5 of 62
- Structural Biology 49
- Cell Biology 91
- Molecular Biology 380
- Ecology 121
- Genetics 130
Countries citing papers authored by Tom Dendooven
This map shows the geographic impact of Tom Dendooven'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 Tom Dendooven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Dendooven more than expected).
Fields of papers citing papers by Tom Dendooven
This network shows the impact of papers produced by Tom Dendooven. 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 Tom Dendooven. The network helps show where Tom Dendooven may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Dendooven, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 72 | |
| 2 | 2019 | 43 | |
| 3 | 2021 | 43 | |
| 4 | 2016 | 42 | |
| 5 | 2021 | 38 | |
| 6 | 2021 | 27 | |
| 7 | 2024 | 24 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 16 | |
| 12 | 2024 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 6 |
About Tom Dendooven
Tom Dendooven is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Structural Biology, having authored 23 papers that have together received 482 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (7 papers), RNA modifications and cancer (5 papers), Microtubule and mitosis dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Structural Biology (49 citations), Cell Biology (91 citations), Molecular Biology (380 citations), Ecology (121 citations) and Genetics (130 citations). Tom Dendooven has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Ben F. Luisi, Alister Burt, Katarzyna Bandyra, David Barford, Elisabeth Sonnleitner, Udo Bläsi, Stanislau Yatskevich, Ziguo Zhang, Jing Yang and Stephen H. McLaughlin. Their work appears in journals such as RNA Biology, Molecular Cell, Science, eLife and Nature Methods.
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.