Silvia Ehrlenbach

622 citations
5 papers · 490 · h-index 5

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Escherichia coli research studies 3
    • Vibrio bacteria research studies 1
    • Complement system in diseases 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Immune Cell Function and Interaction 1

Silvia Ehrlenbach

5 papers receiving 476 citations

Peers

Silvia Ehrlenbach
Comparison fields: 5 of 77
  • Aging 110
  • Physiology 328
  • Endocrinology 58
  • Geriatrics and Gerontology 19
  • Immunology 91
Replace Maisha N. Minor with:
Maisha N. Minor United States
Yu Qiu China
Elaine Speziali Brazil
Vasudevan Dinakaran India
Mariska T. Meijer Netherlands
Coad Thomas Dow United States
Catherine Thomas United Kingdom
Yutaka Sugi Japan
Simren K. Gill United Kingdom
Elena S. Kim United States
Silvia Ehrlenbach relative to Maisha N. Minor United States Maisha N. Minor's profile →
Citations per field
00.5×10×14.5×
Maisha N. Minor · 1×
Citations per year

Countries citing papers authored by Silvia Ehrlenbach

Since Specialization
Citations

This map shows the geographic impact of Silvia Ehrlenbach'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 Silvia Ehrlenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Ehrlenbach more than expected).

Fields of papers citing papers by Silvia Ehrlenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Ehrlenbach. 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 Silvia Ehrlenbach. The network helps show where Silvia Ehrlenbach may publish in the future.

Co-authors

The 25 scholars most cited alongside Silvia Ehrlenbach, 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 Silvia Ehrlenbach Line = papers co-authored together Silvia Ehrlenbach links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2010231
2 2009152
3 201056
4 201335
5 201216

About Silvia Ehrlenbach

Silvia Ehrlenbach is a scholar working on Endocrinology, Immunology, Physiology, Infectious Diseases and Epidemiology, having authored 5 papers that have together received 490 indexed citations. Recurring topics across this work include Escherichia coli research studies (3 papers), Complement system in diseases (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Vibrio bacteria research studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Aging (110 citations), Physiology (328 citations), Endocrinology (58 citations), Geriatrics and Gerontology (19 citations) and Immunology (91 citations). Silvia Ehrlenbach has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Johann Willeit, Peter Willeit, Stefan Kiechl, Markus Reindl, Anita Kloss‐Brandstätter, Florian Kronenberg, Arno Gasperi, Friedrich Oberhollenzer, Agnes Mayr and Siegfried Weger. Their work appears in journals such as Infection and Immunity, International Journal of Epidemiology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

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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