Thomas R. Bürglin
- Molecular Biology top 2%
- Plant Science top 2%
- Aging top 0.1%
- Genetics top 2%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Markus AffolterWalter J. GehringGary RuvkunKrishanu MukherjeeKeya MukherjeeLuciano BrocchieriGudrun AspöckHiroshi Kagoshima
- Topics
- Genetics, Aging, and Longevity in Model Organisms (38 papers)CRISPR and Genetic Engineering (15 papers)Photosynthetic Processes and Mechanisms (10 papers)
- Partner nations
- SwedenSwitzerlandUnited States
In The Last Decade
Thomas R. Bürglin
71 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 3.8k
- Plant Science 1.2k
- Aging 1.1k
- Genetics 816
- Endocrine and Autonomic Systems 348
Countries citing papers authored by Thomas R. Bürglin
This map shows the geographic impact of Thomas R. Bürglin'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. Bürglin 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. Bürglin more than expected).
Fields of papers citing papers by Thomas R. Bürglin
This network shows the impact of papers produced by Thomas R. Bürglin. 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. Bürglin. The network helps show where Thomas R. Bürglin may publish in the future.
Co-authorship network of co-authors of Thomas R. Bürglin
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Bürglin. A scholar is included among the top collaborators of Thomas R. Bürglin 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. Bürglin. Thomas R. Bürglin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 85 | |
| 2 | 298 | |
| 3 | 29 | |
| 4 | 15 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 86 | |
| 9 | 26 | |
| 10 | 40 | |
| 11 | 25 | |
| 12 | 41 | |
| 13 | 75 | |
| 14 | 37 | |
| 15 | 38 | |
| 16 | 21 | |
| 17 | 4 | |
| 18 | 109 | |
| 19 | 6 | |
| 20 | Analysis of TALE superclass homeobox genes (MEIS, PBC, KNOX, Iroquois, TGIF) reveals a novel domain conserved between plants and animalsbreakdown → | 513 |
About Thomas R. Bürglin
Thomas R. Bürglin is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 71 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (38 papers), CRISPR and Genetic Engineering (15 papers) and Photosynthetic Processes and Mechanisms (10 papers). The work is most often cited by research in Aging (1.1k citations), Molecular Biology (3.8k citations) and Endocrine and Autonomic Systems (348 citations). Thomas R. Bürglin has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Markus Affolter, Walter J. Gehring, Gary Ruvkun, Krishanu Mukherjee, Keya Mukherjee, Luciano Brocchieri, Gudrun Aspöck, Hiroshi Kagoshima, Giuseppe Cassata and Alan Coulson. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.