Tamara Raschka

464 total citations
13 papers, 237 citations indexed

About

Tamara Raschka is a scholar working on Molecular Biology, Neurology and Artificial Intelligence. According to data from OpenAlex, Tamara Raschka has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Artificial Intelligence. Recurrent topics in Tamara Raschka's work include Bioinformatics and Genomic Networks (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Gene Regulatory Network Analysis (3 papers). Tamara Raschka is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Gene Regulatory Network Analysis (3 papers). Tamara Raschka collaborates with scholars based in Germany, Luxembourg and France. Tamara Raschka's co-authors include Christian Ebeling, Martin Hofmann‐Apitius, Daniel Domingo‐Fernándéz, Alpha Tom Kodamullil, Reagon Karki, Ichiro Nozaki, Oliver Brüstle, Harald Neumann, Veit Hornung and Bruce Schultz and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Tamara Raschka

11 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Raschka Germany 8 121 47 46 46 36 13 237
Ludwig Lausser Germany 12 228 1.9× 78 1.7× 28 0.6× 82 1.8× 23 0.6× 42 431
Kyle E. Evans United States 3 125 1.0× 17 0.4× 25 0.5× 46 1.0× 85 2.4× 4 244
Margherita Francescatto Italy 10 191 1.6× 26 0.6× 27 0.6× 32 0.7× 26 0.7× 20 345
Cheng Zhu China 9 240 2.0× 42 0.9× 39 0.8× 19 0.4× 118 3.3× 39 475
Petar V. Todorov United States 7 132 1.1× 18 0.4× 16 0.3× 54 1.2× 91 2.5× 10 286
David Aparício Portugal 6 96 0.8× 54 1.1× 76 1.7× 13 0.3× 17 0.5× 14 303
Yejin Kim United States 10 127 1.0× 89 1.9× 20 0.4× 29 0.6× 106 2.9× 31 373
Reagon Karki Germany 10 151 1.2× 97 2.1× 17 0.4× 51 1.1× 44 1.2× 18 292
Alpha Tom Kodamullil Germany 15 348 2.9× 129 2.7× 37 0.8× 123 2.7× 108 3.0× 39 583
Nathan Johnson United States 8 209 1.7× 19 0.4× 17 0.4× 39 0.8× 87 2.4× 15 433

Countries citing papers authored by Tamara Raschka

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Raschka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Raschka

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

All Works

13 of 13 papers shown
1.
Raschka, Tamara, Jochen Klucken, Enrico Glaab, et al.. (2025). Predictive modeling to uncover Parkinson’s disease characteristics that delay diagnosis. npj Parkinson s Disease. 11(1). 64–64.
2.
Raschka, Tamara, Stefano Sapienza, Enrico Glaab, et al.. (2025). Objective monitoring of motor symptom severity and their progression in Parkinson’s disease using a digital gait device. Scientific Reports. 15(1). 25541–25541.
3.
Raschka, Tamara, Stefano Sapienza, Jochen Klucken, et al.. (2024). Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis. npj Parkinson s Disease. 10(1). 95–95. 16 indexed citations
4.
Raschka, Tamara, Zexin Li, Heiko Gaßner, et al.. (2024). Unraveling progression subtypes in people with Huntington’s disease. The EPMA Journal. 15(2). 275–287. 3 indexed citations
5.
Birkenbihl, Colin, Ashar Ahmad, Tamara Raschka, et al.. (2023). Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories. Scientific Reports. 13(1). 2897–2897. 10 indexed citations
6.
Raschka, Tamara, et al.. (2023). AI reveals insights into link between CD33 and cognitive impairment in Alzheimer’s Disease. PLoS Computational Biology. 19(2). e1009894–e1009894. 3 indexed citations
7.
8.
9.
Nozaki, Ichiro, Tamara Raschka, Christian Ebeling, et al.. (2021). Deletion of Alzheimer's disease‐associated CD33 results in an inflammatory human microglia phenotype. Glia. 69(6). 1393–1412. 71 indexed citations
10.
Domingo‐Fernándéz, Daniel, Shounak Baksi, Bruce Schultz, et al.. (2020). COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology. Bioinformatics. 37(9). 1332–1334. 72 indexed citations
11.
Raschka, Tamara, et al.. (2017). Analytical Strategy to Prioritize Alzheimer’s Disease Candidate Genes in Gene Regulatory Networks Using Public Expression Data. Journal of Alzheimer s Disease. 59(4). 1237–1254. 14 indexed citations
12.
Domingo‐Fernándéz, Daniel, Alpha Tom Kodamullil, Tamara Raschka, et al.. (2017). Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment. Bioinformatics. 33(22). 3679–3681. 29 indexed citations
13.
Raschka, Tamara, et al.. (2016). NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease. Journal of Biomedical Semantics. 7(1). 45–45. 8 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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