Daniel Schulz

31 papers and 2.3k indexed citations i.

About

Daniel Schulz is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel Schulz has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Daniel Schulz’s work include Single-cell and spatial transcriptomics (6 papers), RNA Research and Splicing (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Daniel Schulz is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), RNA Research and Splicing (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Daniel Schulz collaborates with scholars based in Germany, Switzerland and United States. Daniel Schulz's co-authors include Bernd Bodenmiller, Vito Riccardo Tomaso Zanotelli, Hartland W. Jackson, Denis Schapiro, Jana Fischer, Patrick Cramer, Achim Tresch, Björn Schwalb, Kerstin C. Maier and Holger Moch and has published in prestigious journals such as Cell, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Daniel Schulz i

Fields of papers citing papers by Daniel Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Schulz

Since Specialization
Citations

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

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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