Julia P. Steringer

1.2k citations
17 papers · 908 indexed · h-index 12
    • Cellular transport and secretion 6
    • Hippo pathway signaling and YAP/TAZ 3
    • Proteoglycans and glycosaminoglycans research 2
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology 6
  • Neurology top 10%
    • Fibroblast Growth Factor Research 9
    • Lipid Membrane Structure and Behavior 5
    • RNA Interference and Gene Delivery 2
    • RNA modifications and cancer 1

Julia P. Steringer

17 papers receiving 898 citations

Peers

Julia P. Steringer
Comparison fields: 5 of 90
  • Cell Biology 239
  • Physiology 300
  • Neurology 82
  • Molecular Biology 611
  • Immunology 170
Replace Genaro Patiño‐López with:
Genaro Patiño‐López Mexico
Oishee Chakrabarti India
Philip Hublitz United Kingdom
Douglas J. Lamont United Kingdom
Christian Erck Germany
Oskar Laur United States
Péter Lőrincz Hungary
Florent Ubelmann Portugal
Marek Kujawa Poland
Sandra Beer‐Hammer Germany
Julia P. Steringer relative to Genaro Patiño‐López Mexico Genaro Patiño‐López's profile →
Citations per field
00.5×3.2×
Genaro Patiño‐López · 1×
Citations per year

Countries citing papers authored by Julia P. Steringer

Since Specialization
Citations

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

Fields of papers citing papers by Julia P. Steringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20236
2 20234
3 202020
4 20208
5 2018191
6 201837
7 201761
8 20179
9 201628
10 2016229
11 201542
12 201548
13 201548
14 201453
15 20141
16 201293
17 200830

About Julia P. Steringer

Julia P. Steringer is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 17 papers that have together received 908 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Erythrocyte Function and Pathophysiology (6 papers), Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), RNA Interference and Gene Delivery (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cell Biology (239 citations), Physiology (300 citations) and Neurology (82 citations). Julia P. Steringer has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Walter Nickel, Hans‐Michael Müller, Eleni Dimou, Thomas R. Jahn, Panagiotis Katsinelos, Carmen Ruiz de Almodóvar, Eliana Nachman, Andromachi Karakatsani, Michael J. Daniels and Ana Isabel Gómez Córdoba. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular 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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