Sarah Bianchi

473 total citations
10 papers, 372 citations indexed

About

Sarah Bianchi is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Sarah Bianchi has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Sarah Bianchi's work include Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cellular transport and secretion (3 papers). Sarah Bianchi is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cellular transport and secretion (3 papers). Sarah Bianchi collaborates with scholars based in Switzerland, Netherlands and United Kingdom. Sarah Bianchi's co-authors include Michel O. Steinmetz, Graham T. Atherton, Mauro Santibanez‐Koref, Jo-Ellen Murphy, Richard W. Deed, John D. Norton, Maarit Suomalainen, Karin Boucke, Daniel A. Engel and Stefania Luisoni and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Sarah Bianchi

9 papers receiving 365 citations

Peers

Sarah Bianchi
Comparison fields: 5 of 67
  • Molecular Biology 224
  • Cell Biology 131
  • Genetics 71
  • Electronic, Optical and Magnetic Materials 50
  • Biomedical Engineering 46
Replace Dongmyung Oh with:
Dongmyung Oh United States
Simona Sorrentino Switzerland
G. Langanger Belgium
Anatoly A. Philimonenko Czechia
Olivia J. Scheideler United States
Wah Ing Goh Singapore
Marco Hoffmann Germany
Lei Guohua United States
Dongmyung Oh United States View profile →
Citations per field, relative to Sarah Bianchi
Sarah Bianchi · 1×
Citations per year, relative to Sarah Bianchi
Sarah Bianchi · 1×

Countries citing papers authored by Sarah Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Bianchi. A scholar is included among the top collaborators of Sarah Bianchi 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 Sarah Bianchi. Sarah Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 6
3 4
4 46
5 77
6 21
7 64
8 59
9
An immediate early human gene encodes an Id-like helix-loop-helix protein and is regulated by protein kinase C activation in diverse cell types.
89
10
Medicago truncatula, a model plant for studying the molecular genetics of the Rhizobium-legume symbiosis
6

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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