Daniela Schulz

1.1k citations
19 papers · 911 · h-index 16

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Antifungal resistance and susceptibility

Papers in

Daniela Schulz

19 papers receiving 899 citations

Peers

Daniela Schulz
Comparison fields: 5 of 86
  • Spectroscopy 148
  • Infectious Diseases 143
  • Molecular Biology 529
  • Immunology and Allergy 34
  • Microbiology 36
Replace Hae‐Kap Cheong with:
Hae‐Kap Cheong South Korea
James G. Bann United States
Gabriella D’Auria Italy
Sara Sattin Italy
Jan Lukszo United States
Arnaud Blondel France
Mélanie Ethève‐Quelquejeu France
Meenakshi N. Vyas United States
John J. Dwyer United States
Jeanne S. Chang United States
Daniela Schulz relative to Hae‐Kap Cheong South Korea Hae‐Kap Cheong's profile →
Citations per field
00.5×3.0×
Hae‐Kap Cheong · 1×
Citations per year

Countries citing papers authored by Daniela Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Schulz Line = papers co-authored together Daniela Schulz links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013108
2 200493
3 201483
4 201876
5 199567
6 200664
7 200956
8 202150
9 201449
10 200349
11 202243
12 200735
13 201235
14 201333
15 199631
16 201219
17 19759
18 20146
19 20245

About Daniela Schulz

Daniela Schulz is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 911 indexed citations. Recurring topics across this work include Click Chemistry and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers), RNA modifications and cancer (4 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers), Cancer-related gene regulation (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Spectroscopy (148 citations), Infectious Diseases (143 citations), Molecular Biology (529 citations), Immunology and Allergy (34 citations) and Microbiology (36 citations). Daniela Schulz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andrea Rentmeister, Josephin M. Holstein, Andrea Sinz, Christian Ihling, Thomas Weyhermüller, Karl Wieghardt, G. Marius Clore, Bernhard Nuber, Bernhard Hube and Christoph Stingl. Their work appears in journals such as Inorganica Chimica Acta, Cellular Microbiology, ChemBioChem, Journal of the American Society for Mass Spectrometry and mBio.

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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