Tomek Swigut
- Molecular Biology top 0.5%
- Genetics top 1%
- Immunology top 2%
- Plant Science top 2%
- Cancer Research top 2%
- Co-authors
- Joanna WysockaÁlvaro Rada-IglesiasRuchi BajpaiSamantha A. BrugmannRyan A. FlynnC. David AllisThomas A. MilneKarlene A. Cimprich
- Topics
- Genomics and Chromatin Dynamics (19 papers)HIV Research and Treatment (13 papers)Epigenetics and DNA Methylation (10 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Tomek Swigut
51 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 7.4k
- Genetics 1.2k
- Immunology 1.0k
- Plant Science 832
- Cancer Research 720
Countries citing papers authored by Tomek Swigut
This map shows the geographic impact of Tomek Swigut'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 Tomek Swigut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomek Swigut more than expected).
Fields of papers citing papers by Tomek Swigut
This network shows the impact of papers produced by Tomek Swigut. 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 Tomek Swigut. The network helps show where Tomek Swigut may publish in the future.
Co-authorship network of co-authors of Tomek Swigut
This figure shows the co-authorship network connecting the top 25 collaborators of Tomek Swigut. A scholar is included among the top collaborators of Tomek Swigut based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomek Swigut. Tomek Swigut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 29 | |
| 3 | 41 | |
| 4 | 51 | |
| 5 | 89 | |
| 6 | 68 | |
| 7 | 242 | |
| 8 | 111 | |
| 9 | A CD47-associated super-enhancer links pro-inflammatory signalling to CD47 upregulation in breast cancer | 1 |
| 10 | 257 | |
| 11 | 221 | |
| 12 | CHD7 cooperates with PBAF to control multipotent neural crest formationbreakdown → | 467 |
| 13 | 293 | |
| 14 | 426 | |
| 15 | A PHD finger of NURF couples histone H3 lysine 4 trimethylation with chromatin remodellingbreakdown → | 886 |
| 16 | 114 | |
| 17 | WDR5 Associates with Histone H3 Methylated at K4 and Is Essential for H3 K4 Methylation and Vertebrate Developmentbreakdown → | 640 |
| 18 | 100 | |
| 19 | 25 | |
| 20 | 77 |
About Tomek Swigut
Tomek Swigut is a scholar working on Virology, Molecular Biology and Immunology, having authored 51 papers that have together received 9.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), HIV Research and Treatment (13 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Virology (719 citations), Molecular Biology (7.4k citations) and Developmental Neuroscience (205 citations). Tomek Swigut has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Joanna Wysocka, Álvaro Rada-Iglesias, Ruchi Bajpai, Samantha A. Brugmann, Ryan A. Flynn, C. David Allis, Thomas A. Milne, Karlene A. Cimprich, M Bocek and Yingming Zhao. Their work appears in journals such as Nature, Science and Cell.
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.