Julia Förster

401 citations
13 papers · 298 · h-index 9

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Histone Deacetylase Inhibitors Research 2
    • Epigenetics and DNA Methylation 1
    • Genetics and Neurodevelopmental Disorders 1

Julia Förster

13 papers receiving 297 citations

Peers

Julia Förster
Comparison fields: 5 of 87
  • Transplantation 15
  • Cellular and Molecular Neuroscience 58
  • Hepatology 19
  • Neurology 18
  • Developmental Neuroscience 7
Replace Stefanie Märschenz with:
Stefanie Märschenz Germany
Bettina Barthel Germany
Yoshinori TERAMURA Japan
Nan Hua China
Fan Ge China
Maria Guarnaccia Italy
Jia‐Yi Wei China
Zixuan Chen China
Yuwan Lin China
Julia Förster relative to Stefanie Märschenz Germany Stefanie Märschenz's profile →
Citations per field
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Stefanie Märschenz · 1×
Citations per year

Countries citing papers authored by Julia Förster

Since Specialization
Citations

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

Fields of papers citing papers by Julia Förster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016159
2 201632
3 201521
4 201619
5 201914
6 201513
7 201313
8 20158
9 20178
10 20195
11 20174
12 20121
13 20201

About Julia Förster

Julia Förster is a scholar working on Molecular Biology, Genetics, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 13 papers that have together received 298 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Adolescent and Pediatric Healthcare (1 paper), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Liver Disease and Transplantation (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Transplantation (15 citations), Cellular and Molecular Neuroscience (58 citations), Hepatology (19 citations), Neurology (18 citations) and Developmental Neuroscience (7 citations). Julia Förster has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Paul Antony, Christophe Trefois, Aidos Baumuratov, Leslie T. Buck, Rudi Balling, Olga Boyd, Andreas Hinz, Christian Benzing, Nicco Krezdorn and Michael Bartels. Their work appears in journals such as Clinical Transplantation, Health and Quality of Life Outcomes, HPB, Molecular Neurobiology and SLAS DISCOVERY.

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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