Julia Schultz

1.5k total citations
27 papers, 1.2k citations indexed

About

Julia Schultz is a scholar working on Molecular Biology, Nutrition and Dietetics and Cell Biology. According to data from OpenAlex, Julia Schultz has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Nutrition and Dietetics and 6 papers in Cell Biology. Recurrent topics in Julia Schultz's work include Prion Diseases and Protein Misfolding (10 papers), Trace Elements in Health (8 papers) and Mitochondrial Function and Pathology (5 papers). Julia Schultz is often cited by papers focused on Prion Diseases and Protein Misfolding (10 papers), Trace Elements in Health (8 papers) and Mitochondrial Function and Pathology (5 papers). Julia Schultz collaborates with scholars based in Germany, United States and Switzerland. Julia Schultz's co-authors include Saleh Ibrahim, Manfred Kunz, Peter Lorenz, Gerd Gross, Anja Schwarz, Michael Burwinkel, Michael Baier, Constanze Riemer, Simone Baltrusch and A. Buschmann and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Julia Schultz

27 papers receiving 1.2k 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 Schultz Germany 18 996 322 202 171 131 27 1.2k
Hassan Chaı̈b United States 16 638 0.6× 130 0.4× 94 0.5× 78 0.5× 64 0.5× 26 1.1k
Kazumasa Moriwaki Japan 14 729 0.7× 93 0.3× 325 1.6× 44 0.3× 93 0.7× 27 1.1k
Hirotoshi Tobioka Japan 19 766 0.8× 239 0.7× 652 3.2× 32 0.2× 82 0.6× 37 1.6k
Shinobu Kura Japan 13 596 0.6× 179 0.6× 45 0.2× 48 0.3× 53 0.4× 21 1.1k
Guanxiang Qian China 15 748 0.8× 449 1.4× 142 0.7× 23 0.1× 75 0.6× 30 1.2k
Bendi Gong United States 23 1.1k 1.1× 156 0.5× 114 0.6× 20 0.1× 143 1.1× 32 1.7k
Hagar Kalinski Israel 12 1.1k 1.1× 321 1.0× 44 0.2× 26 0.2× 108 0.8× 15 1.6k
Selen C. Muratoglu United States 21 848 0.9× 226 0.7× 43 0.2× 31 0.2× 140 1.1× 33 1.5k
Jiannong Cen China 17 554 0.6× 168 0.5× 91 0.5× 30 0.2× 48 0.4× 147 1.0k
Silvio Weber Germany 16 775 0.8× 185 0.6× 86 0.4× 23 0.1× 248 1.9× 26 1.5k

Countries citing papers authored by Julia Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Schultz. A scholar is included among the top collaborators of Julia Schultz 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 Schultz. Julia Schultz 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.
Schultz, Julia, et al.. (2020). MiD51 Is Important for Maintaining Mitochondrial Health in Pancreatic Islet and MIN6 Cells. Frontiers in Endocrinology. 11. 232–232. 3 indexed citations
2.
Reinhardt, F, et al.. (2016). Drp1 guarding of the mitochondrial network is important for glucose-stimulated insulin secretion in pancreatic beta cells. Biochemical and Biophysical Research Communications. 474(4). 646–651. 34 indexed citations
3.
Brenmoehl, Julia, et al.. (2015). Dynamics of Fat Mass in DUhTP Mice Selected for Running Performance - Fat Mobilization in a Walk. Obesity Facts. 8(6). 373–385. 6 indexed citations
4.
Kollmann, Katrin, et al.. (2013). Identification of the Ubiquitin-like Domain of Midnolin as a New Glucokinase Interaction Partner. Journal of Biological Chemistry. 288(50). 35824–35839. 36 indexed citations
5.
Schultz, Julia, et al.. (2013). Glucose-induced dissociation of glucokinase from its regulatory protein in the nucleus of hepatocytes prior to nuclear export. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(3). 554–564. 16 indexed citations
6.
Langer, Sara, David A. Okar, Julia Schultz, Sigurd Lenzen, & Simone Baltrusch. (2012). Dimer interface rearrangement of the 6‐phosphofructo‐2‐kinase/fructose 2,6‐bisphosphatase rat liver isoenzyme by cAMP‐dependent Ser‐32 phosphorylation. FEBS Letters. 586(10). 1419–1425. 5 indexed citations
7.
Schultz, Julia, Dirk Koczan, Ulf Schmitz, et al.. (2010). Tumor-promoting role of signal transducer and activator of transcription (Stat)1 in late-stage melanoma growth. Clinical & Experimental Metastasis. 27(3). 133–140. 34 indexed citations
8.
Vera, Julio, et al.. (2009). Dynamical effects of epigenetic silencing of 14-3-3σ expression. Molecular BioSystems. 6(1). 264–273. 13 indexed citations
9.
Schultz, Julia, Saleh Ibrahim, Julio Vera, & Manfred Kunz. (2009). 14-3-3σ gene silencing during melanoma progression and its role in cell cycle control and cellular senescence. Molecular Cancer. 8(1). 53–53. 40 indexed citations
10.
Schultz, Julia, Peter Lorenz, Gerd Gross, Saleh Ibrahim, & Manfred Kunz. (2008). MicroRNA let-7b targets important cell cycle molecules in malignant melanoma cells and interferes with anchorage-independent growth. Cell Research. 18(5). 549–557. 383 indexed citations
11.
Schultz, Julia, Peter Lorenz, Saleh Ibrahim, et al.. (2008). The functional −443T/C osteopontin promoter polymorphism influences osteopontin gene expression in melanoma cells via binding of c‐Myb transcription factor. Molecular Carcinogenesis. 48(1). 14–23. 45 indexed citations
12.
Tuve, Sebastian, et al.. (2006). Adenovirus-mediated TA-p73β gene transfer increases chemosensitivity of human malignant melanomas. APOPTOSIS. 11(2). 235–243. 25 indexed citations
13.
Schultz, Julia, Anja Schwarz, Michael Burwinkel, et al.. (2004). Role of Interleukin-1 in Prion Disease-Associated Astrocyte Activation. American Journal Of Pathology. 165(2). 671–678. 79 indexed citations
14.
Schwarz, Anja, Michael Burwinkel, Constanze Riemer, Julia Schultz, & Michael Baier. (2004). Unchanged Scrapie Pathology in Brain Tissue of Tyrosine Kinase Fyn-Deficient Mice. Neurodegenerative Diseases. 1(6). 266–268. 7 indexed citations
15.
Burwinkel, Michael, et al.. (2004). Role of cytokines and chemokines in prion infections of the central nervous system. International Journal of Developmental Neuroscience. 22(7). 497–505. 36 indexed citations
16.
Riemer, Constanze, Michael Burwinkel, Anja Schwarz, et al.. (2004). Gene expression profiling of scrapie-infected brain tissue. Biochemical and Biophysical Research Communications. 323(2). 556–564. 99 indexed citations
17.
Burwinkel, Michael, Anja Schwarz, Constanze Riemer, et al.. (2004). Rapid disease development in scrapie‐infected mice deficient for CD40 ligand. EMBO Reports. 5(5). 527–531. 20 indexed citations
18.
Schwarz, Anja, Michael Burwinkel, Constanze Riemer, et al.. (2003). Immunisation with a synthetic prion protein-derived peptide prolongs survival times of mice orally exposed to the scrapie agent. Neuroscience Letters. 350(3). 187–189. 80 indexed citations
19.
Riemer, Constanze, et al.. (2002). BSE, Scrapie, and vCJD: Infectious Neurodegenerative Diseases. PubMed. 85–103. 1 indexed citations
20.

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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