Fabio Pisano

919 total citations
18 papers, 698 citations indexed

About

Fabio Pisano is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Fabio Pisano has authored 18 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Fabio Pisano's work include Yersinia bacterium, plague, ectoparasites research (14 papers), Pharmacological Effects of Natural Compounds (6 papers) and Bacillus and Francisella bacterial research (5 papers). Fabio Pisano is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (14 papers), Pharmacological Effects of Natural Compounds (6 papers) and Bacillus and Francisella bacterial research (5 papers). Fabio Pisano collaborates with scholars based in Germany, Sweden and India. Fabio Pisano's co-authors include Petra Dersch, Ann Kathrin Heroven, Aaron M. Nuss, Marina C. Pils, Katja Böhme, Michael Beckstette, Hans Wolf‐Watz, Franz Narberhaus, Jens Kortmann and Werner Müller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Fabio Pisano

18 papers receiving 681 citations

Peers

Fabio Pisano

GENET

ENDOC

IMMUN

David Gur Israel

Emanuelle Mamroud Israel

Avital Tidhar Israel

Alexander Rakin Germany

Stewart J. Hinchliffe United Kingdom

Maxim V. Telepnev United States

Kristin J. Pederson United States

Elisabet Frithz‐Lindsten Sweden

Éric Faudry France

Ralf Schulte Germany

David Gur Israel

Fabio Pisano

388 ×1.0

GENET

323 ×1.1

90 ×0.5

ENDOC

55 ×0.5

IMMUN

128 ×1.3

Citations per year, relative to Fabio Pisano Fabio Pisano (= 1×) peers David Gur

Countries citing papers authored by Fabio Pisano

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Pisano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pisano

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

All Works

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18 of 18 papers shown

May, Marcus, Fabio Pisano, Leander Grode, et al.. (2023). Safety and immunogenicity of SIIPL Tdap, a new tetanus toxoid, reduced diphtheria toxoid and acellular pertussis vaccine, in healthy subjects 4–65 years of age: A Phase II/III randomized, observer-blinded, active controlled, multicenter clinical study in Germany. Vaccine. 41(46). 6810–6819. 1 indexed citations

Beckstette, Michael, Ann Kathrin Heroven, Sophie Thiemann, et al.. (2018). Loss of CNFY toxin-induced inflammation drives Yersinia pseudotuberculosis into persistency. PLoS Pathogens. 14(2). e1006858–e1006858. 23 indexed citations

Nuss, Aaron M., et al.. (2017). Tissue dual RNA-seq allows fast discovery of infection-specific functions and riboregulators shaping host–pathogen transcriptomes. Proceedings of the National Academy of Sciences. 114(5). E791–E800. 118 indexed citations

Pásztói, Mária, Agnes Bonifacius, Joern Pezoldt, et al.. (2017). Yersinia pseudotuberculosis supports Th17 differentiation and limits de novo regulatory T cell induction by directly interfering with T cell receptor signaling. Cellular and Molecular Life Sciences. 74(15). 2839–2850. 14 indexed citations

Pezoldt, Joern, Fabio Pisano, Mária Pásztói, et al.. (2017). Impact of CCR7 on T-Cell Response and Susceptibility to Yersinia pseudotuberculosis Infection. The Journal of Infectious Diseases. 216(6). 752–760. 3 indexed citations

Günter, Manina, Samuel Wagner, Monika Schütz, et al.. (2016). Mononuclear phagocytes contribute to intestinal invasion and dissemination of Yersinia enterocolitica. International Journal of Medical Microbiology. 306(6). 357–366. 8 indexed citations

Nuss, Aaron M., Johannes Klein, Ann Kathrin Heroven, et al.. (2016). A Precise Temperature-Responsive Bistable Switch Controlling Yersinia Virulence. PLoS Pathogens. 12(12). e1006091–e1006091. 28 indexed citations

Pisano, Fabio, et al.. (2015). Natural Killer Cells Mediate Protection against Yersinia pseudotuberculosis in the Mesenteric Lymph Nodes. PLoS ONE. 10(8). e0136290–e0136290. 9 indexed citations

Nuss, Aaron M., et al.. (2014). A direct link between the global regulator PhoP and the Csr regulon inY. pseudotuberculosisthrough the small regulatory RNA CsrC. RNA Biology. 11(5). 580–593. 23 indexed citations

10.

Pisano, Fabio, et al.. (2014). Influence of PhoP and Intra-Species Variations on Virulence of Yersinia pseudotuberculosis during the Natural Oral Infection Route. PLoS ONE. 9(7). e103541–e103541. 13 indexed citations

11.

Kulkarni, Devesha H., Joern Pezoldt, Fabio Pisano, et al.. (2013). The Cytotoxic Necrotizing Factor of Yersinia pseudotuberculosis (CNFY) Enhances Inflammation and Yop Delivery during Infection by Activation of Rho GTPases. PLoS Pathogens. 9(11). e1003746–e1003746. 54 indexed citations

12.

Pisano, Fabio, et al.. (2013). Essential Role of Invasin for Colonization and Persistence of Yersinia enterocolitica in Its Natural Reservoir Host, the Pig. Infection and Immunity. 82(3). 960–969. 15 indexed citations

13.

Heroven, Ann Kathrin, Fabio Pisano, Katja Böhme, et al.. (2012). Crp Induces Switching of the CsrB and CsrC RNAs in Yersinia pseudotuberculosis and Links Nutritional Status to Virulence. Frontiers in Cellular and Infection Microbiology. 2. 158–158. 54 indexed citations

14.

Böhme, Katja, Jens Kortmann, Ann Kathrin Heroven, et al.. (2012). Concerted Actions of a Thermo-labile Regulator and a Unique Intergenic RNA Thermosensor Control Yersinia Virulence. PLoS Pathogens. 8(2). e1002518–e1002518. 128 indexed citations

15.

Pisano, Fabio, et al.. (2011). Monitoring of Gene Expression in Bacteria during Infections Using an Adaptable Set of Bioluminescent, Fluorescent and Colorigenic Fusion Vectors. PLoS ONE. 6(6). e20425–e20425. 44 indexed citations

16.

Pisano, Fabio, Manfred Rohde, Angelika Fruth, et al.. (2011). Unique Cell Adhesion and Invasion Properties of Yersinia enterocolitica O:3, the Most Frequent Cause of Human Yersiniosis. PLoS Pathogens. 7(7). e1002117–e1002117. 46 indexed citations

17.

Pisano, Fabio, et al.. (2011). In Vivo -Induced InvA-Like Autotransporters Ifp and InvC of Yersinia pseudotuberculosis Promote Interactions with Intestinal Epithelial Cells and Contribute to Virulence. Infection and Immunity. 80(3). 1050–1064. 22 indexed citations

18.

Pils, Marina C., Fabio Pisano, Nicolas Fasnacht, et al.. (2009). Monocytes/macrophages and/or neutrophils are the target of IL‐10 in the LPS endotoxemia model. European Journal of Immunology. 40(2). 443–448. 95 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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