Daniela Schulz

1.1k citations
19 papers · 894 · h-index 16

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques

Papers in

Daniela Schulz

19 papers receiving 882 citations

Peers

Daniela Schulz
Comparison fields: 5 of 89
  • Spectroscopy 151
  • Molecular Biology 537
  • Infectious Diseases 141
  • Organic Chemistry 172
  • Immunology and Allergy 36
Replace Hae‐Kap Cheong with:
Hae‐Kap Cheong South Korea
Meenakshi N. Vyas United States
Mélanie Ethève‐Quelquejeu France
Sara Sattin Italy
Jan Lukszo United States
H. M. Krishna Murthy United States
C. P. Huber Canada
H. Czapinska Poland
Ana Gimeno Spain
John J. Dwyer 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 2013107
2 200493
3 201481
4 201872
5 199567
6 200664
7 200956
8 200349
9 201448
10 202146
11 202239
12 200735
13 201235
14 201333
15 199631
16 201218
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 894 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Click Chemistry and Applications (4 papers), RNA modifications and cancer (4 papers), Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (3 papers), Cancer-related gene regulation (3 papers), Chemical Synthesis and Analysis (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (151 citations), Molecular Biology (537 citations), Infectious Diseases (141 citations), Organic Chemistry (172 citations) and Immunology and Allergy (36 citations). Daniela Schulz has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andrea Rentmeister, Josephin M. Holstein, Christian Ihling, Andrea Sinz, Karl Wieghardt, Thomas Weyhermüller, G. Marius Clore, Bernhard Nuber, Bernhard Hube and Stefan Kalkhof. Their work appears in journals such as Inorganica Chimica Acta, Virulence, Journal of the American Society for Mass Spectrometry, Chemical Communications and Allergy.

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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