Ute Brinckmann

1.0k citations
21 papers · 857 indexed · h-index 13

Impact in

    • Virology and Viral Diseases
    • Respiratory viral infections research
    • Cervical Cancer and HPV Research
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Immunodeficiency and Autoimmune Disorders 5
    • Immunotherapy and Immune Responses 3
    • Virology and Viral Diseases 9
    • Respiratory viral infections research 5
    • Cervical Cancer and HPV Research 2

Ute Brinckmann

21 papers receiving 824 citations

Peers

Ute Brinckmann
Comparison fields: 5 of 65
  • Epidemiology 574
  • Infectious Diseases 299
  • Otorhinolaryngology 56
  • Virology 53
  • Physiology 41
Replace Solomon O. Odemuyiwa with:
Solomon O. Odemuyiwa United States
Bunsiti Simizu Japan
Jeffery L. Meier United States
Wendy J. van Zuylen Australia
C Aubert France
Heikki Sarvas Finland
S D Mawhorter United States
Nadezhda E. Yun United States
S K Tyring United States
Andreia Pinto United Kingdom
Ute Brinckmann relative to Solomon O. Odemuyiwa United States Solomon O. Odemuyiwa's profile →
Citations per field
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Solomon O. Odemuyiwa · 1×
Citations per year

Countries citing papers authored by Ute Brinckmann

Since Specialization
Citations

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

Fields of papers citing papers by Ute Brinckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20065
2 200551
3 2004112
4 20035
5 200212
6 20004
7 19971
8 199691
9 199628
10 199519
11 199598
12 1995127
13 199395
14 199358
15 199210
16 199115
17 199138
18 19894
19 198313
20 19838

About Ute Brinckmann

Ute Brinckmann is a scholar working on Immunology, Epidemiology, Genetics, Physiology and Infectious Diseases, having authored 21 papers that have together received 857 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Virology and Viral Diseases (9 papers), Respiratory viral infections research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Epidemiology (574 citations), Infectious Diseases (299 citations), Otorhinolaryngology (56 citations), Virology (53 citations) and Physiology (41 citations). Ute Brinckmann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Uwe G. Liebert, Volker ter Meulen, L. M. Dunster, K. Baczko, Bettina Bankamp, Daniela Finke, Stefan Niewiesk, Alexander Hemprich, Torsten W. Remmerbach and B. K. Rima. Their work appears in journals such as Virology, Journal of Virology, Journal of General Virology, Gene and International Journal of Oncology.

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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