Thomas R. Burkard
- Molecular Biology top 5%
- Immunology top 5%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 5%
- Co-authors
- Juergen A. KnoblichNina S. CorsiniE. Hilary GustafsonAlexander William PhillipsFrederick J. LiveseyMadeline A. LancasterTomoki OtaniStefan L. Ameres
- Topics
- RNA Research and Splicing (13 papers)RNA modifications and cancer (11 papers)CRISPR and Genetic Engineering (8 papers)
- Partner nations
- AustriaSwitzerlandUnited States
In The Last Decade
Thomas R. Burkard
42 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.4k
- Immunology 582
- Biomedical Engineering 492
- Cellular and Molecular Neuroscience 369
- Cancer Research 361
Countries citing papers authored by Thomas R. Burkard
This map shows the geographic impact of Thomas R. Burkard'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 R. Burkard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas R. Burkard more than expected).
Fields of papers citing papers by Thomas R. Burkard
This network shows the impact of papers produced by Thomas R. Burkard. 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 R. Burkard. The network helps show where Thomas R. Burkard may publish in the future.
Co-authorship network of co-authors of Thomas R. Burkard
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Burkard. A scholar is included among the top collaborators of Thomas R. Burkard 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 Thomas R. Burkard. Thomas R. Burkard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Single-cell brain organoid screening identifies developmental defects in autismbreakdown → | 122 |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 99 | |
| 5 | 39 | |
| 6 | 85 | |
| 7 | 5 | |
| 8 | 73 | |
| 9 | Genetically engineered cerebral organoids model brain tumor formationbreakdown → | 313 |
| 10 | 64 | |
| 11 | 25 | |
| 12 | 35 | |
| 13 | Guided self-organization and cortical plate formation in human brain organoidsbreakdown → | 574 |
| 14 | 85 | |
| 15 | 358 | |
| 16 | 42 | |
| 17 | 372 | |
| 18 | 60 | |
| 19 | 34 | |
| 20 | 26 |
About Thomas R. Burkard
Thomas R. Burkard is a scholar working on Aging, Molecular Biology and Genetics, having authored 42 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Developmental Neuroscience (246 citations), Aging (90 citations) and Molecular Biology (2.4k citations). Thomas R. Burkard has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Juergen A. Knoblich, Nina S. Corsini, E. Hilary Gustafson, Alexander William Phillips, Frederick J. Livesey, Madeline A. Lancaster, Tomoki Otani, Stefan L. Ameres, Johannes Zuber and Tobias Neumann. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.