Felicitas Altmayr

484 citations
13 papers · 385 indexed · h-index 8
Topics
Immune Response and Inflammation (6 papers)Liver physiology and pathology (3 papers)interferon and immune responses (2 papers)
Partner nations
GermanyAustriaChina

In The Last Decade

Felicitas Altmayr

13 papers receiving 381 citations

Peers

Felicitas Altmayr
Comparison fields: 5 of 80
  • Immunology 169
  • Molecular Biology 75
  • Epidemiology 71
  • Cellular and Molecular Neuroscience 59
  • Physiology 43
Replace Maria Zetterström with:
Maria Zetterström Sweden
Camille Dickerson United States
Jeff Zacks United States
Sandra Z. Perkowski United States
L. J. M. Cross United Kingdom
S. Selkirk United Kingdom
Raphael Gomes Ferreira Brazil
Mitsuru Naiki Japan
Hüseyin Baskın Türkiye
Jinqi Xia United States
Felicitas Altmayr relative to Maria Zetterström Sweden Maria Zetterström's profile →
Citations per field
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Maria Zetterström · 1×
Citations per year

Countries citing papers authored by Felicitas Altmayr

Since Specialization
Citations

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

Fields of papers citing papers by Felicitas Altmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicitas Altmayr

This figure shows the co-authorship network connecting the top 25 collaborators of Felicitas Altmayr. A scholar is included among the top collaborators of Felicitas Altmayr 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 Felicitas Altmayr. Felicitas Altmayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 6
3 19
4 7
5 27
6 84
7 45
8 34
9 89
10 60
11
Molecular mechanisms modulating vincristine accumulation and cytotoxicity in chronic lymphatic leukemia of B-cell type
1
12 7
13 4

About Felicitas Altmayr

Felicitas Altmayr is a scholar working on Hepatology, Immunology and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 385 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Liver physiology and pathology (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (169 citations), Sensory Systems (24 citations) and Neurology (31 citations). Felicitas Altmayr has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Bernhard Holzmann, Alexander Novotny, Heike Weighardt, Daniel Reim, Carlos A. Molina, Volker Aßfalg, Klaus Emmanuel, Helmut Frieß, Georg F. Weber and Simone Kaiser‐Moore. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Scientific Reports.

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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