Christian Spieth

839 total citations
30 papers, 490 citations indexed

About

Christian Spieth is a scholar working on Molecular Biology, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, Christian Spieth has authored 30 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Christian Spieth's work include Gene expression and cancer classification (17 papers), Gene Regulatory Network Analysis (15 papers) and Bioinformatics and Genomic Networks (15 papers). Christian Spieth is often cited by papers focused on Gene expression and cancer classification (17 papers), Gene Regulatory Network Analysis (15 papers) and Bioinformatics and Genomic Networks (15 papers). Christian Spieth collaborates with scholars based in Germany, Azerbaijan and India. Christian Spieth's co-authors include Andreas Zell, N. Speer, Felix Streichert, Harald Staiger, Hans‐Ulrich Häring, Norbert Stefan, Fausto Machicao, Otto Tschritter, Cora Weigert and Andreas Fritsche and has published in prestigious journals such as Bioinformatics, The Journal of Clinical Endocrinology & Metabolism and American Journal Of Pathology.

In The Last Decade

Christian Spieth

28 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Spieth Germany 11 291 109 75 71 51 30 490
Louise S. Mackenzie United Kingdom 13 180 0.6× 72 0.7× 61 0.8× 85 1.2× 57 1.1× 20 665
Qing Guo China 14 277 1.0× 48 0.4× 26 0.3× 37 0.5× 66 1.3× 31 472
Julia Weng Taiwan 13 228 0.8× 68 0.6× 94 1.3× 19 0.3× 19 0.4× 21 513
Alex Dayton United States 13 219 0.8× 25 0.2× 68 0.9× 55 0.8× 30 0.6× 26 644
Lorraine King United States 15 195 0.7× 66 0.6× 31 0.4× 33 0.5× 51 1.0× 36 777
Shanshan Zhang China 17 580 2.0× 36 0.3× 110 1.5× 54 0.8× 39 0.8× 33 835
Sheng Cai Hong Kong 7 123 0.4× 56 0.5× 24 0.3× 80 1.1× 23 0.5× 9 295
J. Alejandro Morales Mexico 14 290 1.0× 56 0.5× 23 0.3× 35 0.5× 125 2.5× 31 540
Chongwei Bi China 15 408 1.4× 52 0.5× 38 0.5× 45 0.6× 33 0.6× 27 612
Weizhi Zhang China 12 378 1.3× 61 0.6× 26 0.3× 25 0.4× 38 0.7× 44 544

Countries citing papers authored by Christian Spieth

Since Specialization
Citations

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

Fields of papers citing papers by Christian Spieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Spieth

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Spieth. A scholar is included among the top collaborators of Christian Spieth 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 Christian Spieth. Christian Spieth 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.
Oehme, Michael, et al.. (2024). GeSn p-n-p Heterophototransistor on Si. Journal of Lightwave Technology. 42(17). 5981–5988.
2.
Oehme, Michael, et al.. (2024). Group-IV based pin photodetectors for C-band application. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 42(3). 2 indexed citations
3.
Oehme, Michael, et al.. (2024). Light Emission of Sn/Ge MQW pin Diodes on Si. ECS Transactions. 114(2). 155–163.
4.
Oehme, Michael, et al.. (2022). GeSn-on-Si Avalanche Photodiodes for Short-Wave Infrared Detection. 169–172. 2 indexed citations
5.
Strauch, Martin, Jochen Supper, Christian Spieth, et al.. (2008). A Two-Step Clustering for 3-D Gene Expression Data Reveals the Main Features of the Arabidopsis Stress Response. KOPS (University of Konstanz). 3 indexed citations
6.
Szalay, Gudrun, Silke Meiners, Antje Voigt, et al.. (2006). Ongoing Coxsackievirus Myocarditis Is Associated with Increased Formation and Activity of Myocardial Immunoproteasomes. American Journal Of Pathology. 168(5). 1542–1552. 46 indexed citations
7.
Tschritter, Otto, Fausto Machicao, Norbert Stefan, et al.. (2006). A New Variant in the Human Kv1.3 Gene Is Associated with Low Insulin Sensitivity and Impaired Glucose Tolerance. The Journal of Clinical Endocrinology & Metabolism. 91(2). 654–658. 43 indexed citations
8.
Spieth, Christian, et al.. (2006). JCell—a Java-based framework for inferring regulatory networks from time series data. Bioinformatics. 22(16). 2051–2052. 6 indexed citations
9.
Speer, N., et al.. (2006). Functional grouping of genes using spectral clustering and gene ontology. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 298–303. 20 indexed citations
10.
Spieth, Christian, et al.. (2006). Comparing mathematical models on the problem of network inference. 279–286. 16 indexed citations
11.
Fröhlich, Holger, N. Speer, Christian Spieth, & Andreas Zell. (2006). Kernel Based Functional Gene Grouping. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 283. 3580–3585. 7 indexed citations
12.
Spieth, Christian, Felix Streichert, N. Speer, & Andreas Zell. (2005). Inferring regulatory systems with noisy pathway information. 193–202. 11 indexed citations
13.
Stefan, Norbert, Fausto Machicao, Harald Staiger, et al.. (2005). Polymorphisms in the gene encoding adiponectin receptor 1 are associated with insulin resistance and high liver fat. Diabetologia. 48(11). 2282–2291. 151 indexed citations
14.
Spieth, Christian. (2005). JCell : a Java framework for inferring genetic networks. 2 indexed citations
15.
Speer, N., Christian Spieth, & Andreas Zell. (2005). A memetic co-clustering algorithm for gene expression profiles and biological annotation. 1. 1631–1638. 19 indexed citations
16.
Speer, N., Christian Spieth, & Andreas Zell. (2005). A memetic clustering algorithm for the functional partition of genes based on the gene ontology. 1. 252–259. 39 indexed citations
17.
Spieth, Christian, et al.. (2005). Feedback Memetic Algorithms for Modeling Gene Regulatory Networks. 1–7. 8 indexed citations
18.
Spieth, Christian, Felix Streichert, N. Speer, & Andreas Zell. (2005). Identifying valid solutions for the inference of regulatory networks. 469–470. 1 indexed citations
19.
Bohn, Erwin, Susanne Müller, Jörg Lauber, et al.. (2004). Gene expression patterns of epithelial cells modulated by pathogenicity factors ofYersinia enterocolitica. Cellular Microbiology. 6(2). 129–141. 42 indexed citations
20.
Speer, N., P. Merz, Christian Spieth, & Andreas Zell. (2004). Clustering gene expression data with memetic algorithms based on minimum spanning trees. 3. 1848–1855. 7 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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