Julia Schröder

2.6k total citations
22 papers, 364 citations indexed

About

Julia Schröder is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Julia Schröder has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Julia Schröder's work include Memory and Neural Mechanisms (6 papers), Memory Processes and Influences (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Julia Schröder is often cited by papers focused on Memory and Neural Mechanisms (6 papers), Memory Processes and Influences (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Julia Schröder collaborates with scholars based in Germany, Sweden and United Kingdom. Julia Schröder's co-authors include Lars Bertram, Shu Li, Wilfried Nietfeld, Ulman Lindenberger, Hauke R. Heekeren, Lars Bäckman, Goran Papenberg, Irene E. Nagel, T. Stahl and Volker Mersch‐Sundermann and has published in prestigious journals such as Nature Communications, Neuropsychologia and Journal of Cognitive Neuroscience.

In The Last Decade

Julia Schröder

18 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia Schröder Germany 11 151 107 53 50 37 22 364
Leila Maria Guissoni Campos Brazil 12 82 0.5× 97 0.9× 37 0.7× 39 0.8× 36 1.0× 23 467
Yukiko Ogura Japan 7 125 0.8× 212 2.0× 17 0.3× 65 1.3× 14 0.4× 15 501
Miho Fukuda Japan 12 181 1.2× 53 0.5× 92 1.7× 68 1.4× 9 0.2× 18 358
Aleksandrov Aa Russia 10 112 0.7× 79 0.7× 20 0.4× 59 1.2× 31 0.8× 88 330
James Z. Chadick United States 9 423 2.8× 226 2.1× 33 0.6× 57 1.1× 65 1.8× 9 751
So Young Yang South Korea 17 162 1.1× 241 2.3× 47 0.9× 70 1.4× 13 0.4× 35 698
Ilza Rosa Batista Brazil 9 94 0.6× 57 0.5× 37 0.7× 62 1.2× 26 0.7× 16 345
Т. В. Лежейко Russia 10 68 0.5× 126 1.2× 69 1.3× 49 1.0× 17 0.5× 60 305
Jian Jiang China 7 96 0.6× 125 1.2× 20 0.4× 16 0.3× 24 0.6× 10 335
Kyoko Hoshino Japan 13 55 0.4× 214 2.0× 60 1.1× 70 1.4× 18 0.5× 26 507

Countries citing papers authored by Julia Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Schröder

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

All Works

20 of 20 papers shown
1.
Häder, Antje, Sascha Schäuble, Jan Gehlen, et al.. (2023). Pathogen-specific innate immune response patterns are distinctly affected by genetic diversity. Nature Communications. 14(1). 3239–3239. 12 indexed citations
2.
Schröder, Julia, Alexander Bäuerle, Eva‐Maria Skoda, et al.. (2023). Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study. Therapeutic Advances in Neurological Disorders. 16. 4223456818–4223456818. 12 indexed citations
3.
Laugsch, Magdalena, Lara M. Hochfeld, Julia Schröder, et al.. (2021). MiRNA-149 as a Candidate for Facial Clefting and Neural Crest Cell Migration. Journal of Dental Research. 101(3). 323–330. 9 indexed citations
4.
Schröder, Julia, et al.. (2019). Molecular biomarkers of DNA damage in diffuse large-cell lymphoma—a review. Journal of Laboratory and Precision Medicine. 4. 5–5. 6 indexed citations
5.
Schuck, Nicolas W., Martijn Meeter, Julia Schröder, et al.. (2017). Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning. Neurobiology of Aging. 61. 36–43. 6 indexed citations
6.
Liu, Tian, Shu Li, Goran Papenberg, et al.. (2014). No association between CTNNBL1 and episodic memory performance. Translational Psychiatry. 4(9). e454–e454. 4 indexed citations
7.
Papenberg, Goran, Lars Bäckman, Irene E. Nagel, et al.. (2013). COMT polymorphism and memory dedifferentiation in old age.. Psychology and Aging. 29(2). 374–383. 33 indexed citations
8.
Papenberg, Goran, Shu Li, Irene E. Nagel, et al.. (2013). Dopamine and glutamate receptor genes interactively influence episodic memory in old age. Neurobiology of Aging. 35(5). 1213.e3–1213.e8. 22 indexed citations
9.
Schuck, Nicolas W., Peter A. Frensch, Brit‐Maren M. Schjeide, et al.. (2013). Effects of aging and dopamine genotypes on the emergence of explicit memory during sequence learning. Neuropsychologia. 51(13). 2757–2769. 23 indexed citations
10.
Papenberg, Goran, Lars Bäckman, Irene E. Nagel, et al.. (2013). Dopaminergic Gene Polymorphisms Affect Long-term Forgetting in Old Age: Further Support for the Magnification Hypothesis. Journal of Cognitive Neuroscience. 25(4). 571–579. 33 indexed citations
11.
Li, Shu, Susanne Passow, Wilfried Nietfeld, et al.. (2013). Dopamine modulates attentional control of auditory perception: DARPP-32 (PPP1R1B) genotype effects on behavior and cortical evoked potentials. Neuropsychologia. 51(8). 1649–1661. 20 indexed citations
12.
Schilling, Marcel, Sara Ansaloni, Julia Schröder, & Lars Bertram. (2013). P1–070: Bioinformatics meets biology: Predicting the role of DNA‐sequence variants on micro‐RNA function. Alzheimer s & Dementia. 9(4S_Part_4).
13.
Schuck, Nicolas W., Christian F. Doeller, Brit‐Maren M. Schjeide, et al.. (2013). Aging and KIBRA/WWC1 genotype affect spatial memory processes in a virtual navigation task. Hippocampus. 23(10). 919–930. 36 indexed citations
14.
Li, Shu, Goran Papenberg, Irene E. Nagel, et al.. (2012). Aging magnifies the effects of dopamine transporter and D2 receptor genes on backward serial memory. Neurobiology of Aging. 34(1). 358.e1–358.e10. 51 indexed citations
15.
Schröder, Julia. (2010). Individual fitness correlates in the black-tailed godwit. Data Archiving and Networked Services (DANS). 7 indexed citations
16.
17.
Schröder, Julia, et al.. (2003). Zur Populationsökologie des Kiebitz (Vanellus vanellus) auf der ostfriesischen Insel Wangerooge. 1 indexed citations
18.
Schröder, Julia, B. Bubeck, & Heinrich Sauer. (2000). [D2-dopamine receptor upregulation and treatment response under neuroleptic therapy].. PubMed. 68 Suppl 1. S42–5.
19.
Pantel, Johannes & Julia Schröder. (1996). "Posterior Cortical Atrophy" - ein neues Demenzsyndrom oder Sonderform des Morbus Alzheimer?. Fortschritte der Neurologie · Psychiatrie. 64(12). 492–508. 17 indexed citations
20.
Schröder, Julia, et al.. (1991). [Neuroleptic malignant syndrome].. PubMed. 103(1). 1–7. 3 indexed citations

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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