Thomas Perlmann
- Cellular and Molecular Neuroscience top 0.1%
- Nuclear Receptors and Signaling 42
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 11
- Pharmacology top 0.2%
- Molecular Biology top 0.5%
- Retinoids in leukemia and cellular processes 24
- Pluripotent Stem Cells Research 13
- RNA Interference and Gene Delivery 8
- Genomics and Chromatin Dynamics 8
- RNA regulation and disease 8
- Genetics top 0.5%
- Estrogen and related hormone effects 15
- Co-authors
- Rolf ZetterströmRonald M. EvansLudmila SolominLeif JanssonÖrjan WrängeAlexander Mata de UrquizaBarry J. HofferNikolaos Volakakis
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Development (7 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- SwedenUnited StatesBelgium
In The Last Decade
Thomas Perlmann
85 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 5.1k
- Developmental Neuroscience 1.1k
- Pharmacology 1.0k
- Molecular Biology 7.2k
- Genetics 2.6k
Countries citing papers authored by Thomas Perlmann
This map shows the geographic impact of Thomas Perlmann'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 Perlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Perlmann more than expected).
Fields of papers citing papers by Thomas Perlmann
This network shows the impact of papers produced by Thomas Perlmann. 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 Perlmann. The network helps show where Thomas Perlmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Perlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 63 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 74 | |
| 7 | 2016 | 32 | |
| 8 | 2015 | 54 | |
| 9 | 2014 | 27 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 69 | |
| 12 | 2009 | 166 | |
| 13 | 2009 | 17 | |
| 14 | 2008 | 14 | |
| 15 | 2006 | 456 | |
| 16 | 2002 | 67 | |
| 17 | 1999 | 95 | |
| 18 | An Orphan Nuclear Receptor Activated by Pregnanes Defines a Novel Steroid Signaling Pathwaybreakdown → | 1998 | 1299 |
| 19 | 1995 | 442 | |
| 20 | C-reactive protein as a predictor of fetal and maternal infective morbidity and fetal mortality. | 1987 | 4 |
About Thomas Perlmann
Thomas Perlmann is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 85 papers that have together received 11.9k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (42 papers), Retinoids in leukemia and cellular processes (24 papers), Estrogen and related hormone effects (15 papers), Pluripotent Stem Cells Research (13 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), RNA Interference and Gene Delivery (8 papers), Genomics and Chromatin Dynamics (8 papers) and RNA regulation and disease (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.1k citations), Developmental Neuroscience (1.1k citations) and Pharmacology (1.0k citations). Thomas Perlmann has collaborated with scholars based in Sweden, United States and Belgium. Frequent co-authors include Rolf Zetterström, Ronald M. Evans, Ludmila Solomin, Leif Jansson, Örjan Wränge, Alexander Mata de Urquiza, Barry J. Hoffer, Nikolaos Volakakis, Timothy M. Willson and William J. Griffiths. Their work appears in journals such as Proceedings of the National Academy of Sciences, Development, Journal of Biological Chemistry, Nature Communications and Genes & Development.
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.