Sebastian Igelmann
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 2
- Retinoids in leukemia and cellular processes 2
- Metabolism, Diabetes, and Cancer 2
- Metabolomics and Mass Spectrometry Studies 2
- RNA and protein synthesis mechanisms 2
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Gerardo Ferbeyre (13 shared papers)Véronique Bourdeau (10 shared papers)Xavier Deschênes‐Simard (5 shared papers)Olga Moiseeva (3 shared papers)Geneviève Huot (2 shared papers)Michaël Pollak (2 shared papers)Heidi A. Neubauer (1 shared paper)Frédéric Lessard (6 shared papers)
- Journals
- Cancers (3 papers)Biology Open (2 papers)Aging Cell (2 papers)Cell Cycle (2 papers)Biomedicines (1 paper)
- Partner nations
- CanadaBelgiumUnited States
In The Last Decade
Sebastian Igelmann
15 papers receiving 1.1k citations
Sebastian Igelmann's Hit Papers
Peers
Comparison fields: 5 of 82
- Aging 101
- Physiology 459
- Geriatrics and Gerontology 32
- Cancer Research 129
- Immunology 187
Countries citing papers authored by Sebastian Igelmann
This map shows the geographic impact of Sebastian Igelmann'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 Sebastian Igelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Igelmann more than expected).
Fields of papers citing papers by Sebastian Igelmann
This network shows the impact of papers produced by Sebastian Igelmann. 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 Sebastian Igelmann. The network helps show where Sebastian Igelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sebastian Igelmann, 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 | Metformin inhibits the senescence‐associated secretory phenotype by interfering with Hit paper breakdown → | 2013 | 517 |
| 2 | 2013 | 152 | |
| 3 | 2018 | 116 | |
| 4 | 2019 | 81 | |
| 5 | 2023 | 52 | |
| 6 | 2019 | 35 | |
| 7 | 2017 | 35 | |
| 8 | 2019 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 2 |
About Sebastian Igelmann
Sebastian Igelmann is a scholar working on Molecular Biology, Physiology, Cancer Research, Oncology and Surgery, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (2 papers), Retinoids in leukemia and cellular processes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (101 citations), Physiology (459 citations), Geriatrics and Gerontology (32 citations), Cancer Research (129 citations) and Immunology (187 citations). Sebastian Igelmann has collaborated with scholars based in Canada, Belgium and United States. Frequent co-authors include Gerardo Ferbeyre, Véronique Bourdeau, Xavier Deschênes‐Simard, Olga Moiseeva, Geneviève Huot, Michaël Pollak, Heidi A. Neubauer, Frédéric Lessard, Ana Margarida Ferreira Campos and Sarah‐Maria Fendt. Their work appears in journals such as Cancers, Biology Open, Aging Cell, Cell Cycle and Biomedicines.
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.