Bianca Schmid

27 papers receiving 620 citations

Peers

Bianca Schmid
Comparison fields: 5 of 108
  • Behavioral Neuroscience 69
  • Biological Psychiatry 33
  • Analytical Chemistry 122
  • Applied Microbiology and Biotechnology 14
  • Aging 11
Replace Yoko Hieda with:
Yoko Hieda Japan
Chuan Bai China
Éric Destexhe Belgium
Anna Bodzoń‐Kułakowska Poland
Hisanobu Yoshida Japan
Tomoko Nagata Japan
Qiaoli Zhang China
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Kevin J. Frankowski United States
Bianca Schmid relative to Yoko Hieda Japan Yoko Hieda's profile →
Citations per field
00.5×8.6×
Yoko Hieda · 1×
Citations per year

Countries citing papers authored by Bianca Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 202063
3 201857
4 201656
5 201949
6 201743
7 201542
8 201238
9 201433
10 201930
11 201029
12 201423
13 202022
14 201613
15 201011
16 20197
17 20117
18 20167
19 20226
20 20245

About Bianca Schmid

Bianca Schmid is a scholar working on Molecular Biology, Pharmacology, Virology, Behavioral Neuroscience and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 625 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (5 papers), Biochemical and Structural Characterization (5 papers), HIV Research and Treatment (3 papers), Chemical Synthesis and Analysis (3 papers), Analytical chemistry methods development (3 papers), Stress Responses and Cortisol (3 papers), Mosquito-borne diseases and control (3 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Behavioral Neuroscience (69 citations), Biological Psychiatry (33 citations), Analytical Chemistry (122 citations), Applied Microbiology and Biotechnology (14 citations) and Aging (11 citations). Bianca Schmid has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Roderich D. Süßmuth, Zeynep Altıntaş, Elke Dittmann, Alessia Ruggieri, Ralf Bartenschlager, Daniel Petras, Regina Bernal, Mathias V. Schmidt, Peter Schirmacher and Alexander Martens. Their work appears in journals such as Revista de Saúde Pública, Angewandte Chemie International Edition, Chemistry - A European Journal, Advanced Functional Materials and Biological Psychiatry.

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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