Rolf Schwarzer

2.0k citations
28 papers · 1.3k indexed · 1 hit paper · h-index 14

Rolf Schwarzer

27 papers receiving 1.2k citations

Hit Papers

Estimating infectiousness throughout SARS-CoV-2 infection...283202120262022202450100150200250

Peers

Rolf Schwarzer
Comparison fields: 5 of 119
  • Modeling and Simulation 86
  • Infectious Diseases 235
  • Clinical Biochemistry 84
  • Cancer Research 145
  • Molecular Biology 617
Replace Annegret Gerber with:
Annegret Gerber Germany
Wei-Dong Chen United States
Tuoen Liu United States
Gabriel N. Maine United States
Beata Berent-Maoz United States
Miriam Llorian United Kingdom
Michael Fennell United Kingdom
Julia Ammer Germany
Chau‐Ching Liu United States
Rolf Schwarzer relative to Annegret Gerber Germany Annegret Gerber's profile →
Citations per field
00.5×10×14.3×
Annegret Gerber · 1×
Citations per year

Countries citing papers authored by Rolf Schwarzer

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Schwarzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rolf Schwarzer, 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 Rolf Schwarzer Line = papers co-authored together Rolf Schwarzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20221
5 202216
6
Estimating infectiousness throughout SARS-CoV-2 infection coursebreakdown →
2021283
7 20213
8 202112
9 202110
10 202112
11 20172
12 20141
13 201122
14 201166
15 200859
16 200841
17 200585
18 2004111
19 2004123
20 200046

About Rolf Schwarzer

Rolf Schwarzer is a scholar working on Dermatology, Pharmaceutical Science and Urology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Dermatology and Skin Diseases (4 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers), Hair Growth and Disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Infectious Diseases (235 citations) and Clinical Biochemistry (84 citations). Rolf Schwarzer has collaborated with scholars based in Germany, Norway and United Kingdom. Frequent co-authors include Daniel Tondera, Jörg Kaufmann, Franziska Jundt, Anke Klippel, Ansgar Santel, Bernd Dörken, G. Peters, Klaus Giese, Frank Czauderna and Katharina Paulick. Their work appears in journals such as Blood, Leukemia, Current Molecular Medicine, PLoS ONE and Biomedicines.

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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2026