Frans Bianchi

848 total citations
22 papers, 559 citations indexed

About

Frans Bianchi is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Frans Bianchi has authored 22 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Frans Bianchi's work include Immunotherapy and Immune Responses (7 papers), Polyamine Metabolism and Applications (4 papers) and Fungal and yeast genetics research (4 papers). Frans Bianchi is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Polyamine Metabolism and Applications (4 papers) and Fungal and yeast genetics research (4 papers). Frans Bianchi collaborates with scholars based in Netherlands, United States and Sweden. Frans Bianchi's co-authors include Bert Poolman, Stephanie J. Ruiz, Geert van den Bogaart, Katja Luck, Ina L. Urbatsch, Maksim V. Baranov, Gunnar von Heijne, Christiaan M. Punter, Daniel O. Daley and Susanna Seppälä and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Frans Bianchi

19 papers receiving 556 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frans Bianchi Netherlands 11 289 70 61 48 45 22 559
Erin Sandford United States 12 296 1.0× 54 0.8× 26 0.4× 67 1.4× 24 0.5× 23 608
Oleg I. Klychnikov Netherlands 14 483 1.7× 43 0.6× 79 1.3× 59 1.2× 36 0.8× 29 796
Andrew R. Burns Canada 10 242 0.8× 113 1.6× 75 1.2× 36 0.8× 15 0.3× 14 706
Jean‐François Chich France 18 586 2.0× 48 0.7× 83 1.4× 34 0.7× 69 1.5× 32 877
Ming‐Der Lin Taiwan 14 404 1.4× 51 0.7× 43 0.7× 37 0.8× 26 0.6× 34 614
Jessica Siltberg-Liberles United States 14 474 1.6× 25 0.4× 156 2.6× 49 1.0× 25 0.6× 27 870
Renaud Wagner France 20 897 3.1× 79 1.1× 36 0.6× 57 1.2× 24 0.5× 54 1.1k
Zhe Hu China 15 429 1.5× 27 0.4× 177 2.9× 64 1.3× 31 0.7× 51 894
Pierre Faou Australia 20 507 1.8× 75 1.1× 95 1.6× 19 0.4× 31 0.7× 41 886
Michael Rau United States 17 866 3.0× 50 0.7× 57 0.9× 22 0.5× 28 0.6× 36 1.1k

Countries citing papers authored by Frans Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Frans Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frans Bianchi

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

All Works

20 of 20 papers shown
1.
Dijk, Han van, Elke M. Muntjewerff, Venkat R. Chirasani, et al.. (2025). Inflammation Promotes Proteolytic Processing of the Prohormone Chromogranin A by Macrophages. Journal of the Endocrine Society. 9(7). bvaf090–bvaf090. 2 indexed citations
2.
Incarnato, Danny, et al.. (2025). Low butyrate concentrations exert anti-inflammatory and high concentrations exert pro-inflammatory effects on macrophages. The Journal of Nutritional Biochemistry. 144. 109962–109962. 3 indexed citations
3.
Beest, Martin ter, et al.. (2025). Phosphorylation of VAMP3 couples IL-6 exocytosis to dendritic cell activation. Journal of Cell Science. 138(19).
4.
5.
Bianchi, Frans, et al.. (2024). Antigen presentation of post‐translationally modified peptides in major histocompatibility complexes. Immunology and Cell Biology. 103(2). 161–177.
6.
Franciosa, Giulia, Rinse de Boer, Maksim V. Baranov, et al.. (2024). Atypical cofilin signaling drives dendritic cell migration through the extracellular matrix via nuclear deformation. Cell Reports. 43(3). 113866–113866. 4 indexed citations
7.
Bianchi, Frans, et al.. (2023). Unveiling the impact of GOLM1/GP73 on cytokine production in cancer and infectious disease. Immunology and Cell Biology. 101(8). 727–734. 4 indexed citations
8.
Bianchi, Frans, et al.. (2023). CD36 as a double-edged sword in cancer. Immunology Letters. 265. 7–15. 20 indexed citations
9.
Baranov, Maksim V., et al.. (2022). Transmembrane Helices Are an Over-Presented and Evolutionarily Conserved Source of Major Histocompatibility Complex Class I and II Epitopes. Frontiers in Immunology. 12. 763044–763044. 3 indexed citations
10.
Bianchi, Frans, et al.. (2022). A sensitive and less cytotoxic assay for identification of proliferating T cells based on bioorthogonally-functionalized uridine analogue. Journal of Immunological Methods. 502. 113228–113228. 2 indexed citations
11.
Bianchi, Frans, et al.. (2020). Extracellular loops matter – subcellular location and function of the lysine transporter Lyp1 from Saccharomyces cerevisiae. FEBS Journal. 287(20). 4401–4414. 5 indexed citations
12.
Ruiz, Stephanie J., et al.. (2020). Growth Inhibition by Amino Acids in Saccharomyces cerevisiae. Microorganisms. 9(1). 7–7. 26 indexed citations
13.
Bianchi, Frans & Geert van den Bogaart. (2020). Vacuolar escape of foodborne bacterial pathogens. Journal of Cell Science. 134(5). jcs247221–jcs247221. 13 indexed citations
14.
Bianchi, Frans, et al.. (2019). Regulation of Amino Acid Transport in Saccharomyces cerevisiae. Microbiology and Molecular Biology Reviews. 83(4). 85 indexed citations
15.
Baranov, Maksim V., Frans Bianchi, Elke M. Muntjewerff, et al.. (2018). The Phosphoinositide Kinase PIKfyve Promotes Cathepsin-S-Mediated Major Histocompatibility Complex Class II Antigen Presentation. iScience. 11. 160–177. 39 indexed citations
16.
Bianchi, Frans, Gemma Moiset, Paul E. Schavemaker, et al.. (2018). Steric exclusion and protein conformation determine the localization of plasma membrane transporters. Nature Communications. 9(1). 501–501. 56 indexed citations
17.
Bianchi, Frans, Johannes Textor, & Geert van den Bogaart. (2017). Transmembrane Helices Are an Overlooked Source of Major Histocompatibility Complex Class I Epitopes. Frontiers in Immunology. 8. 1118–1118. 16 indexed citations
18.
Bianchi, Frans, et al.. (2016). Asymmetry in inward- and outward-affinity constant of transport explain unidirectional lysine flux in Saccharomyces cerevisiae. Scientific Reports. 6(1). 31443–31443. 199 indexed citations
19.
Popov‐Čeleketić, Dušan, et al.. (2016). A Plasma Membrane Association Module in Yeast Amino Acid Transporters. Journal of Biological Chemistry. 291(31). 16024–16037. 15 indexed citations
20.
Bianchi, Frans, et al.. (2012). Antiparallel Dimers of the Small Multidrug Resistance Protein EmrE Are More Stable Than Parallel Dimers. Journal of Biological Chemistry. 287(31). 26052–26059. 36 indexed citations

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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