Julia Japtok

725 total citations
9 papers, 209 citations indexed

About

Julia Japtok is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Julia Japtok has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Julia Japtok's work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (7 papers) and RNA Research and Splicing (4 papers). Julia Japtok is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (7 papers) and RNA Research and Splicing (4 papers). Julia Japtok collaborates with scholars based in Germany, Sweden and Switzerland. Julia Japtok's co-authors include Andreas Hermann, Marcel Naumann, Jared Sterneckert, René Günther, Peter Reinhardt, Tobias M. Boeckers, Moritz J. Frech, Hyun O. Lee, Arun Pal and Hannes Glaß and has published in prestigious journals such as International Journal of Molecular Sciences, Human Molecular Genetics and Cell Reports.

In The Last Decade

Julia Japtok

9 papers receiving 207 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 Japtok Germany 6 149 131 85 33 24 9 209
Marcel Naumann Germany 9 166 1.1× 133 1.0× 112 1.3× 28 0.8× 25 1.0× 11 258
Julia Higelin Germany 5 136 0.9× 124 0.9× 80 0.9× 40 1.2× 29 1.2× 5 211
Silvia Scaricamazza Italy 10 213 1.4× 160 1.2× 123 1.4× 43 1.3× 44 1.8× 19 334
Stefan Putz Germany 5 112 0.8× 120 0.9× 76 0.9× 29 0.9× 18 0.8× 5 206
Norman Kalmbach Germany 8 117 0.8× 87 0.7× 53 0.6× 47 1.4× 30 1.3× 10 187
Gina Picchiarelli France 5 172 1.2× 142 1.1× 125 1.5× 38 1.2× 18 0.8× 6 248
Henrick Riemenschneider Germany 5 148 1.0× 196 1.5× 70 0.8× 23 0.7× 30 1.3× 6 260
Christopher P. Cali United States 3 99 0.7× 181 1.4× 61 0.7× 21 0.6× 18 0.8× 3 251
Raheem Fazal Belgium 5 147 1.0× 113 0.9× 72 0.8× 32 1.0× 45 1.9× 5 207
Ian Coldicott United Kingdom 10 124 0.8× 138 1.1× 103 1.2× 47 1.4× 32 1.3× 13 268

Countries citing papers authored by Julia Japtok

Since Specialization
Citations

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

Fields of papers citing papers by Julia Japtok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Japtok

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

All Works

9 of 9 papers shown
1.
Pal, Arun, et al.. (2024). Cell-Type-Dependent Recruitment Dynamics of FUS Protein at Laser-Induced DNA Damage Sites. International Journal of Molecular Sciences. 25(6). 3526–3526. 5 indexed citations
2.
Zimyanin, Vitaly, Hannes Glaß, Julia Japtok, et al.. (2023). Live Cell Imaging of ATP Levels Reveals Metabolic Compartmentalization within Motoneurons and Early Metabolic Changes in FUS ALS Motoneurons. Cells. 12(10). 1352–1352. 3 indexed citations
3.
Günther, René, Julia Japtok, Moritz J. Frech, et al.. (2023). FUS ALS neurons activate major stress pathways and reduce translation as an early protective mechanism against neurodegeneration. Cell Reports. 42(2). 112025–112025. 33 indexed citations
4.
Pal, Arun, Masin Abo-Rady, Marcel Naumann, et al.. (2021). Concomitant gain and loss of function pathomechanisms in C9ORF72 amyotrophic lateral sclerosis. Life Science Alliance. 4(4). e202000764–e202000764. 11 indexed citations
5.
Seifert, Anne, Hauke Drechsler, Julia Japtok, et al.. (2021). The ALS-Associated FUS (P525L) Variant Does Not Directly Interfere with Microtubule-Dependent Kinesin-1 Motility. International Journal of Molecular Sciences. 22(5). 2422–2422. 3 indexed citations
6.
Nihei, Yoshihiro, Kohji Mori, Georg Werner, et al.. (2019). Poly-glycine–alanine exacerbates C9orf72 repeat expansion-mediated DNA damage via sequestration of phosphorylated ATM and loss of nuclear hnRNPA3. Acta Neuropathologica. 139(1). 99–118. 49 indexed citations
7.
Kalmbach, Norman, Maximilian Naujock, Reto Eggenschwiler, et al.. (2019). Altered calcium dynamics and glutamate receptor properties in iPSC-derived motor neurons from ALS patients with C9orf72, FUS, SOD1 or TDP43 mutations. Human Molecular Genetics. 28(17). 2835–2850. 36 indexed citations
8.
Pal, Arun, et al.. (2018). High content organelle trafficking enables disease state profiling as powerful tool for disease modelling. Scientific Data. 5(1). 180241–180241. 24 indexed citations
9.
Japtok, Julia, Xenia Lojewski, Marcel Naumann, et al.. (2015). Stepwise acquirement of hallmark neuropathology in FUS-ALS iPSC models depends on mutation type and neuronal aging. Neurobiology of Disease. 82. 420–429. 45 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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