Daniel Schraivogel

26 total papers · 2.3k total citations
14 papers, 746 citations indexed

About

Daniel Schraivogel is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Daniel Schraivogel has authored 14 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Immunology. Recurrent topics in Daniel Schraivogel's work include RNA Research and Splicing (5 papers), CRISPR and Genetic Engineering (4 papers) and Single-cell and spatial transcriptomics (4 papers). Daniel Schraivogel is often cited by papers focused on RNA Research and Splicing (5 papers), CRISPR and Genetic Engineering (4 papers) and Single-cell and spatial transcriptomics (4 papers). Daniel Schraivogel collaborates with scholars based in Germany, United States and Switzerland. Daniel Schraivogel's co-authors include Gunter Meister, Lars M. Steinmetz, Andreas R. Gschwind, Michael Weller, Christoph A. Merten, Jennifer H. Milbank, Jan O. Korbel, Lars Velten, Petra Jakob and Jia Zhu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daniel Schraivogel

14 papers receiving 742 citations

Hit Papers

High-speed fluorescence i... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Schraivogel 565 203 83 78 66 14 746
Eunice Wan 649 1.1× 157 0.8× 88 1.1× 106 1.4× 146 2.2× 13 874
Anastasiya Boltengagen 653 1.2× 131 0.6× 58 0.7× 58 0.7× 122 1.8× 14 828
Luyi Tian 686 1.2× 186 0.9× 114 1.4× 44 0.6× 166 2.5× 17 887
Jessica A. Engel 597 1.1× 172 0.8× 54 0.7× 32 0.4× 192 2.9× 15 836
Andrew Wang 456 0.8× 215 1.1× 28 0.3× 66 0.8× 105 1.6× 10 696
Alexandra Graff-Meyer 640 1.1× 179 0.9× 24 0.3× 44 0.6× 61 0.9× 14 748
German Nudelman 506 0.9× 143 0.7× 61 0.7× 27 0.3× 155 2.3× 32 868
Elena Denisenko 519 0.9× 162 0.8× 76 0.9× 40 0.5× 160 2.4× 13 649
John Blischak 538 1.0× 102 0.5× 54 0.7× 24 0.3× 73 1.1× 17 746
Katrin Martin 592 1.0× 173 0.9× 69 0.8× 63 0.8× 58 0.9× 10 753

Countries citing papers authored by Daniel Schraivogel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schraivogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schraivogel

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

All Works

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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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