Kilian Perrem
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Physiology top 5%
- Cancer Research top 10%
- Co-authors
- Akihide RyoKun Ping LuRoger R. ReddelYih‐Cherng LiouGerburg M. WulfYasuhiro YoshidaShoji YamaokaRobert Rottapel
- Topics
- Telomeres, Telomerase, and Senescence (9 papers)Signaling Pathways in Disease (6 papers)DNA Repair Mechanisms (3 papers)
- Cited by
- AgingImmunologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular Cell
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Kilian Perrem
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.1k
- Oncology 500
- Immunology 472
- Physiology 446
- Cancer Research 225
Countries citing papers authored by Kilian Perrem
This map shows the geographic impact of Kilian Perrem'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 Kilian Perrem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kilian Perrem more than expected).
Fields of papers citing papers by Kilian Perrem
This network shows the impact of papers produced by Kilian Perrem. 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 Kilian Perrem. The network helps show where Kilian Perrem may publish in the future.
Co-authorship network of co-authors of Kilian Perrem
This figure shows the co-authorship network connecting the top 25 collaborators of Kilian Perrem. A scholar is included among the top collaborators of Kilian Perrem 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 Kilian Perrem. Kilian Perrem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 94 | |
| 2 | 45 | |
| 3 | 23 | |
| 4 | 31 | |
| 5 | 8 | |
| 6 | 64 | |
| 7 | 56 | |
| 8 | 10 | |
| 9 | 70 | |
| 10 | 85 | |
| 11 | 95 | |
| 12 | 28 | |
| 13 | Regulation of NF-κB Signaling by Pin1-Dependent Prolyl Isomerization and Ubiquitin-Mediated Proteolysis of p65/RelAbreakdown → | 544 |
| 14 | 92 | |
| 15 | 201 | |
| 16 | 9 | |
| 17 | 92 | |
| 18 | 4 | |
| 19 | p53-dependent activation of the mouse MCK gene promoter: identification of a novel p53-responsive sequence and evidence for cooperation between distinct p53 binding sites. | 7 |
| 20 | p53 represses SV40 transcription by preventing formation of transcription complexes. | 16 |
About Kilian Perrem
Kilian Perrem is a scholar working on Aging, Virology and Physiology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Signaling Pathways in Disease (6 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (56 citations), Immunology (472 citations) and Oncology (500 citations). Kilian Perrem has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Akihide Ryo, Kun Ping Lu, Roger R. Reddel, Yih‐Cherng Liou, Gerburg M. Wulf, Yasuhiro Yoshida, Shoji Yamaoka, Robert Rottapel, Futoshi Suizu and Lorel M. Colgin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular 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.