Natalie Erdmann

1.6k citations
18 papers · 1.1k indexed · h-index 13

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

Natalie Erdmann

17 papers receiving 1.1k citations

Peers

Natalie Erdmann
Comparison fields: 5 of 72
  • Aging 87
  • Physiology 459
  • Hematology 167
  • Molecular Biology 768
  • Oncology 220
Replace Kadir C. Akdemir with:
Kadir C. Akdemir United States
Benjamin J. Thompson United States
Grzegorz Sarek United Kingdom
Gary de Jong Canada
S Kyo Japan
Shuwen Wang China
Robert R. Adams United States
Candy Haggblom United States
Josh Lewis Stern United States
Jean‐Paul Vernot Colombia
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Citations per field
00.5×4.0×
Kadir C. Akdemir · 1×
Citations per year

Countries citing papers authored by Natalie Erdmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Natalie Erdmann Line = papers co-authored together Natalie Erdmann links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20235
2 202214
3 202112
4 20210
5 201915
6 201855
7 20175
8 2013265
9 200914
10 200810
11 2006103
12 200547
13 200540
14 200486
15 200448
16 2003131
17 2000192
18 199995

About Natalie Erdmann

Natalie Erdmann is a scholar working on Aging, Physiology, Hematology, Otorhinolaryngology and Molecular Medicine, 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), Multiple Myeloma Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (2 papers), Cancer Genomics and Diagnostics (2 papers), Microplastics and Plastic Pollution (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Aging (87 citations), Physiology (459 citations), Hematology (167 citations), Molecular Biology (768 citations) and Oncology (220 citations). Natalie Erdmann has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Lea Harrington, Bryan E. Snow, Rodger E. Tiedemann, Yie Liu, Murray O. Robinson, Chungyee Leung-Hagesteijn, Kim Chan Chung, Donna Reece, A. Keith Stewart and Grace W.C. Cheung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology, Molecular and Cellular Biology, Scientific Reports and The EMBO Journal.

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.

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