Peter Olbrich

3.5k citations
81 papers · 2.6k · h-index 23

Impact in

Papers in

    • Immunodeficiency and Autoimmune Disorders 55
    • T-cell and B-cell Immunology 2
    • Antifungal resistance and susceptibility 4
    • SARS-CoV-2 and COVID-19 Research 3

Peter Olbrich

70 papers receiving 2.5k citations

Peers

Peter Olbrich
Comparison fields: 5 of 83
  • Immunology 1.8k
  • Applied Microbiology and Biotechnology 51
  • Infectious Diseases 220
  • Oncology 146
  • Hematology 69
Replace Rima M. Koka with:
Rima M. Koka United States
Dorothy Hui Lin Ng Singapore
Sharon Choo Australia
T. Petteri Arstila Finland
Hans‐Jürgen Laws Germany
Figen Doğu Türkiye
Masayuki Nagasawa Japan
Thomas John Manley United States
Junichi Sugita Japan
Isabel Caragol Spain
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Citations per field
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Rima M. Koka · 1×
Citations per year

Countries citing papers authored by Peter Olbrich

Since Specialization
Citations

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

Fields of papers citing papers by Peter Olbrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018362
2 2018218
3 2018154
4 2021132
5 2021125
6 2019114
7 2020101
8 2022100
9 201998
10 201782
11 201564
12 202064
13 201763
14 201959
15 202159
16 202455
17 201849
18 202149
19 202349
20 201648

About Peter Olbrich

Peter Olbrich is a scholar working on Immunology, Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (55 papers), Antifungal resistance and susceptibility (4 papers), Kawasaki Disease and Coronary Complications (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), T-cell and B-cell Immunology (2 papers), Research on Leishmaniasis Studies (2 papers), Antibiotic Use and Resistance (2 papers) and Blood transfusion and management (1 paper). The work is most often cited by research in Immunology (1.8k citations), Applied Microbiology and Biotechnology (51 citations), Infectious Diseases (220 citations), Oncology (146 citations) and Hematology (69 citations). Peter Olbrich has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Olaf Neth, Alexandra F. Freeman, Reza Yazdani, Hassan Abolhassani, Gholamreza Azizi, Asghar Aghamohammadi, Beatriz de Felipe, Laleh Sharifi, José Manuel Lucena and Pilar Blanco-Lobo. Their work appears in journals such as Journal of Clinical Immunology, Journal of Allergy and Clinical Immunology, The Pediatric Infectious Disease Journal, Pediatric Allergy and Immunology and Frontiers in Immunology.

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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