Wolfgang Kopp

476 total citations
8 papers, 165 citations indexed

About

Wolfgang Kopp is a scholar working on Molecular Biology, Biophysics and Epidemiology. According to data from OpenAlex, Wolfgang Kopp has authored 8 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biophysics and 1 paper in Epidemiology. Recurrent topics in Wolfgang Kopp's work include Single-cell and spatial transcriptomics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Chromatin Dynamics (3 papers). Wolfgang Kopp is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Chromatin Dynamics (3 papers). Wolfgang Kopp collaborates with scholars based in Germany, Italy and Spain. Wolfgang Kopp's co-authors include Altuna Akalin, Uwe Ohler, Martin Vingron, Remo Monti, Kenjiro Adachi, Martin Stehling, Marcos J. Araúzo‐Bravo, Guangming Wu, Boris Greber and Hans R. Schöler and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Wolfgang Kopp

8 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wolfgang Kopp Germany	6	131	17	13	11	11	8	165
Fabian Wendt Switzerland	4	111 0.8×	7 0.4×	6 0.5×	6 0.5×	10 0.9×	5	167
Dayanne M. Castro United States	4	222 1.7×	17 1.0×	14 1.1×	14 1.3×	6 0.5×	4	250
Jake Crawford United States	6	245 1.9×	37 2.2×	7 0.5×	8 0.7×	6 0.5×	10	277
Zhuoxing Shi China	7	157 1.2×	11 0.6×	3 0.2×	21 1.9×	8 0.7×	22	186
Sandrine Gonin-Giraud France	6	190 1.5×	10 0.6×	29 2.2×	8 0.7×	5 0.5×	11	223
Charlotte H. Wang United States	2	115 0.9×	65 3.8×	3 0.2×	11 1.0×	11 1.0×	3	186
Riley S. Drake United States	5	66 0.5×	20 1.2×	9 0.7×	13 1.2×	3 0.3×	8	132
Fatma-Elzahraa Eid Egypt	4	126 1.0×	45 2.6×	5 0.4×	3 0.3×	9 0.8×	5	169
Sebastian Dümcke Germany	5	325 2.5×	23 1.4×	10 0.8×	18 1.6×	4 0.4×	13	352
Katja Lidschreiber Sweden	5	207 1.6×	14 0.8×	19 1.5×	22 2.0×	3 0.3×	5	224

Countries citing papers authored by Wolfgang Kopp

Since Specialization

Citations

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

Fields of papers citing papers by Wolfgang Kopp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Kopp

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

All Works

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8 of 8 papers shown

1.

Ronen, Jonathan, et al.. (2024). scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data. BMC Bioinformatics. 25(1). 257–257. 3 indexed citations

2.

Kopp, Wolfgang, Altuna Akalin, & Uwe Ohler. (2022). Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning. Nature Machine Intelligence. 4(2). 162–168. 19 indexed citations

3.

Kopp, Wolfgang, Rieke Kempfer, Antje Hirsekorn, et al.. (2022). Single-cell-resolved dynamics of chromatin architecture delineate cell and regulatory states in zebrafish embryos. Cell Genomics. 2(1). 100083–100083. 11 indexed citations

4.

Lichtner, Gregor, Felix Balzer, Stefan Haufe, et al.. (2021). Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia. Scientific Reports. 11(1). 13205–13205. 13 indexed citations

5.

Kopp, Wolfgang, et al.. (2020). Deep learning for genomics using Janggu. Nature Communications. 11(1). 3488–3488. 40 indexed citations

6.

Kopp, Wolfgang & Martin Vingron. (2019). DNA Motif Match Statistics Without Poisson Approximation. Journal of Computational Biology. 26(8). 846–865. 1 indexed citations

7.

Adachi, Kenjiro, Wolfgang Kopp, Guangming Wu, et al.. (2018). Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency. Cell stem cell. 23(2). 266–275.e6. 70 indexed citations

8.

Kopp, Wolfgang & Martin Vingron. (2017). An improved compound Poisson model for the number of motif hits in DNA sequences. Bioinformatics. 33(24). 3929–3937. 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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