Bárbara Schmidt

4.3k citations
110 papers · 2.4k · h-index 27

Impact in

Papers in

    • HIV/AIDS drug development and treatment 20
    • SARS-CoV-2 and COVID-19 Research 16
    • HIV/AIDS Research and Interventions 11
    • COVID-19 Clinical Research Studies 10
    • HIV Research and Treatment 30

Bárbara Schmidt

106 papers receiving 2.4k citations

Peers

Bárbara Schmidt
Comparison fields: 5 of 133
  • Virology 737
  • General Dentistry 98
  • Infectious Diseases 1.1k
  • Immunology 477
  • Hepatology 94
Replace Susanne Pfefferle with:
Susanne Pfefferle Germany
Michael Letko United States
Fei Yu China
Mirko Trilling Germany
Shutoku Matsuyama Japan
Mart M. Lamers Netherlands
Yong Xiong China
Kathrin Sutter Germany
Nuria Izquierdo‐Useros Spain
Jieliang Chen China
Bárbara Schmidt relative to Susanne Pfefferle Germany Susanne Pfefferle's profile →
Citations per field
00.5×5.2×
Susanne Pfefferle · 1×
Citations per year

Countries citing papers authored by Bárbara Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Bárbara Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002206
2 2020135
3 2005103
4 200184
5 202083
6 199977
7 200368
8 200458
9 200457
10 200656
11 200155
12 201351
13 202146
14 200045
15 200240
16 202138
17 202138
18 200138
19 202037
20 201435

About Bárbara Schmidt

Bárbara Schmidt is a scholar working on Infectious Diseases, Virology, Immunology, Epidemiology and Molecular Biology, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), HIV/AIDS drug development and treatment (20 papers), Immunotherapy and Immune Responses (19 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Immune Cell Function and Interaction (12 papers), Herpesvirus Infections and Treatments (11 papers), HIV/AIDS Research and Interventions (11 papers) and COVID-19 Clinical Research Studies (10 papers). The work is most often cited by research in Virology (737 citations), General Dentistry (98 citations), Infectious Diseases (1.1k citations), Immunology (477 citations) and Hepatology (94 citations). Bárbara Schmidt has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Hauke Walter, Klaus Korn, Jay A. Levy, Philipp Schuster, Sue H. Fujimura, Bernd Salzberger, Joachim Selbig, Rolf Kaiser, Niko Beerenwinkel and Daniel Hoffmann. Their work appears in journals such as Infection, JAIDS Journal of Acquired Immune Deficiency Syndromes, Frontiers in Immunology, ChemBioChem and Antimicrobial Agents and Chemotherapy.

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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