Bianca Miterski

1.9k total citations
19 papers, 778 citations indexed

About

Bianca Miterski is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Bianca Miterski has authored 19 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Immunology. Recurrent topics in Bianca Miterski's work include Mitochondrial Function and Pathology (2 papers), RNA regulation and disease (2 papers) and Multiple Sclerosis Research Studies (2 papers). Bianca Miterski is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), RNA regulation and disease (2 papers) and Multiple Sclerosis Research Studies (2 papers). Bianca Miterski collaborates with scholars based in Germany, United Kingdom and Luxembourg. Bianca Miterski's co-authors include Jörg T. Epplen, Wolfram Klein, Sebastian Schimrigk, M. Haupts, E. Sindern, Ludger Sch�ls, C. Epplen, Eduardo José Melo dos Santos, Lüdger Schöls and Stefan Böhringer and has published in prestigious journals such as Nature Genetics, Neurology and Electrophoresis.

In The Last Decade

Bianca Miterski

19 papers receiving 765 citations

Peers

Bianca Miterski
Comparison fields: 5 of 79
  • Molecular Biology 299
  • Cellular and Molecular Neuroscience 201
  • Cell Biology 160
  • Immunology 160
  • Neurology 91
Replace Sylvia W. Y. Chiang with:
Sylvia W. Y. Chiang Hong Kong
Guy Helman United States
Dominique Sauvaget France
Luke Oh United States
Tanya L. Henshall Australia
Haike Reznik‐Wolf Israel
Isabelle Cornez Germany
Ernest Smith United States
Wojciech Wiszniewski United States
Atsuko Maeda Japan
Sylvia W. Y. Chiang Hong Kong View profile →
Citations per field, relative to Bianca Miterski
Bianca Miterski · 1×
Citations per year, relative to Bianca Miterski
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Countries citing papers authored by Bianca Miterski

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Miterski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Miterski

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Miterski. A scholar is included among the top collaborators of Bianca Miterski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bianca Miterski. Bianca Miterski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 36
2 24
3 59
4 62
5
Numerous genetic predisposition factors for rheumatic arthritis in adults and juveniles.
3
6 5
7 28
8 141
9 26
10 31
11 74
12 12
13 74
14
On the genetic contribution to selected multifactorial diseases with autoimmune characteristics.
5
15 27
16 9
17 19
18 48
19 95

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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