Natalie Erdmann
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Physiology 11
- Telomeres, Telomerase, and Senescence 10
-
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 1
- Co-authors
- Lea Harrington (10 shared papers)Rodger E. Tiedemann (6 shared papers)Bryan E. Snow (3 shared papers)Yie Liu (3 shared papers)Chungyee Leung-Hagesteijn (2 shared papers)Murray O. Robinson (2 shared papers)Donna Reece (1 shared paper)A. Keith Stewart (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Molecular and Cellular Biology (2 papers)Current Biology (2 papers)Molecular Case Studies (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Natalie Erdmann
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Aging 81
- Physiology 457
- Hematology 153
- Molecular Biology 725
- Oncology 205
Countries citing papers authored by Natalie Erdmann
This map shows the geographic impact of Natalie Erdmann'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 Natalie Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Erdmann more than expected).
Fields of papers citing papers by Natalie Erdmann
This network shows the impact of papers produced by Natalie Erdmann. 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 Natalie Erdmann. The network helps show where Natalie Erdmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Erdmann, 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 | 2013 | 266 | |
| 2 | 2000 | 191 | |
| 3 | 2003 | 132 | |
| 4 | 2006 | 105 | |
| 5 | 1999 | 95 | |
| 6 | 2004 | 86 | |
| 7 | 2018 | 56 | |
| 8 | 2005 | 47 | |
| 9 | 2004 | 47 | |
| 10 | 2005 | 40 | |
| 11 | 2019 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2009 | 14 | |
| 15 | 2008 | 10 | |
| 16 | 2023 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2021 | 0 |
About Natalie Erdmann
Natalie Erdmann is a scholar working on Physiology, Molecular Biology, Hematology, Pollution and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Multiple Myeloma Research and Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers), Microplastics and Plastic Pollution (2 papers), Chromosomal and Genetic Variations (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (81 citations), Physiology (457 citations), Hematology (153 citations), Molecular Biology (725 citations) and Oncology (205 citations). Natalie Erdmann has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lea Harrington, Rodger E. Tiedemann, Bryan E. Snow, Yie Liu, Chungyee Leung-Hagesteijn, Murray O. Robinson, Donna Reece, A. Keith Stewart, Kim Chan Chung and Grace W.C. Cheung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Current Biology, Molecular Case Studies and Briefings in Bioinformatics.
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.