Christine Gemünd

1.0k total citations
6 papers, 512 citations indexed

About

Christine Gemünd is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Christine Gemünd has authored 6 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Ecology. Recurrent topics in Christine Gemünd's work include Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Christine Gemünd is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Christine Gemünd collaborates with scholars based in Germany, Italy and United Kingdom. Christine Gemünd's co-authors include Toby J. Gibson, Allegra Via, Bernhard Küster, Nikolaj Blom, Thomas Sicheritz‐Pontén, Rune Linding, Scott Cameron, Francesca Diella, Manfred Oehmichen and Petra Bruse and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Christine Gemünd

6 papers receiving 497 citations

Peers

Christine Gemünd

MB

SPECT

CB

GENET

MC

Jon P. Butler United States

Dmitriy A. Vinarov United States

André Melnik Switzerland

Ahmed-Noor A. Agip United Kingdom

Michaella J. Levy United States

Christian Tüting Germany

Mostafa Zarei Germany

Dennis Linke Germany

Wing-Cheong Tsui United Kingdom

Jens R. Andersen Denmark

Jon P. Butler United States

Christine Gemünd

352 ×0.7

MB

269 ×2.5

SPECT

13 ×0.3

CB

31 ×1.2

GENET

19 ×0.8

MC

Citations per year, relative to Christine Gemünd Christine Gemünd (= 1×) peers Jon P. Butler

Countries citing papers authored by Christine Gemünd

Since Specialization

Citations

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

Fields of papers citing papers by Christine Gemünd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Gemünd

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

All Works

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6 of 6 papers shown

1.

Via, Allegra, Cathryn M. Gould, Christine Gemünd, Toby J. Gibson, & Manuela Helmer‐Citterich. (2009). A structure filter for the Eukaryotic Linear Motif Resource. BMC Bioinformatics. 10(1). 351–351. 33 indexed citations

2.

Bruse, Petra, et al.. (2005). Lack of age-related increase of mitochondrial DNA amount in brain, skeletal muscle and human heart. Mechanisms of Ageing and Development. 126(11). 1192–1200. 83 indexed citations

3.

Diella, Francesca, Scott Cameron, Christine Gemünd, et al.. (2004). Phospho.ELM: A database of experimentally verified phosphorylation sites in eukaryotic proteins. BMC Bioinformatics. 5(1). 79–79. 307 indexed citations

4.

Relógio, Angela, Claudia Ben-Dov, Michaël Baum, et al.. (2004). Alternative Splicing Microarrays Reveal Functional Expression of Neuron-specific Regulators in Hodgkin Lymphoma Cells. Journal of Biological Chemistry. 280(6). 4779–4784. 68 indexed citations

5.

Hill, F., Christine Gemünd, Vladimı́r Beneš, Wilhelm Ansorge, & Toby J. Gibson. (2000). An estimate of large‐scale sequencing accuracy. EMBO Reports. 1(1). 29–31. 15 indexed citations

6.

Ramu, Chenna, Christine Gemünd, & Toby J. Gibson. (2000). Object-oriented parsing of biological databases with Python. Bioinformatics. 16(7). 628–638. 6 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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