Michele Mishto

3.1k total citations
63 papers, 2.2k citations indexed

About

Michele Mishto is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Michele Mishto has authored 63 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 23 papers in Oncology and 23 papers in Immunology. Recurrent topics in Michele Mishto's work include Ubiquitin and proteasome pathways (37 papers), vaccines and immunoinformatics approaches (22 papers) and Immunotherapy and Immune Responses (21 papers). Michele Mishto is often cited by papers focused on Ubiquitin and proteasome pathways (37 papers), vaccines and immunoinformatics approaches (22 papers) and Immunotherapy and Immune Responses (21 papers). Michele Mishto collaborates with scholars based in Germany, United Kingdom and Italy. Michele Mishto's co-authors include Juliane Liepe, Peter M. Kloetzel, Claudio Franceschi, Elena Bellavista, Aurelia Santoro, Michael P. H. Stumpf, John Sidney, Alessandro Sette, Kathrin Textoris‐Taube and Christin Keller and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michele Mishto

62 papers receiving 2.1k citations

Peers

Michele Mishto

IMMUN

ONCOL

GENET

EPIDE

Karsten Jürchott Germany

Chong‐Feng Xu United States

Sanjeev Galande India

Joseph M. Replogle United States

I. Kola Australia

John Easton United States

Renee A. Schoon United States

Mohammad Fallahi United States

David T. Humphreys Australia

Kristen Pollizzi United States

Karsten Jürchott Germany

Michele Mishto

1.7k ×1.1

463 ×0.6

IMMUN

628 ×1.0

ONCOL

268 ×1.3

GENET

161 ×1.0

EPIDE

Citations per year, relative to Michele Mishto Michele Mishto (= 1×) peers Karsten Jürchott

Countries citing papers authored by Michele Mishto

Since Specialization

Citations

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

Fields of papers citing papers by Michele Mishto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Mishto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khan, Sahil, Wai Tuck Soh, Yvonne Pannekoek, et al.. (2025). PEPSeek-Mediated Identification of Novel Epitopes From Viral and Bacterial Pathogens and the Impact on Host Cell Immunopeptidomes. Molecular & Cellular Proteomics. 24(4). 100937–100937. 1 indexed citations

Soh, Wai Tuck, Monika Raabe, Ralf Pflanz, et al.. (2024). Protein degradation by human 20S proteasomes elucidates the interplay between peptide hydrolysis and splicing. Nature Communications. 15(1). 1147–1147. 11 indexed citations

Mishto, Michele, et al.. (2024). Proteasome isoforms in human thymi and mouse models. Immunology Letters. 269. 106899–106899.

Yang, Xiaoping, et al.. (2023). InvitroSPI and a large database of proteasome-generated spliced and non-spliced peptides. Scientific Data. 10(1). 18–18. 5 indexed citations

Soh, Wai Tuck, et al.. (2022). inSPIRE: An Open-Source Tool for Increased Mass Spectrometry Identification Rates Using Prosit Spectral Prediction. Molecular & Cellular Proteomics. 21(12). 100432–100432. 11 indexed citations

Mishto, Michele, et al.. (2021). Proteasome-Generated cis-Spliced Peptides and Their Potential Role in CD8+ T Cell Tolerance. Frontiers in Immunology. 12. 614276–614276. 14 indexed citations

Liepe, Juliane, et al.. (2018). Mapping the MHC Class I–Spliced Immunopeptidome of Cancer Cells. Cancer Immunology Research. 7(1). 62–76. 51 indexed citations

Liepe, Juliane, Huib Ovaa, & Michele Mishto. (2018). Why do proteases mess up with antigen presentation by re-shuffling antigen sequences?. Current Opinion in Immunology. 52. 81–86. 32 indexed citations

Aronica, Eleonora, Sebastian Bauer, Yuri Bozzi, et al.. (2017). Neuroinflammatory targets and treatments for epilepsy validated in experimental models. Epilepsia. 58(S3). 27–38. 151 indexed citations

10.

Platteel, Anouk C. M., Juliane Liepe, Willem van Eden, Michele Mishto, & Alice J.A.M. Sijts. (2017). An Unexpected Major Role for Proteasome-Catalyzed Peptide Splicing in Generation of T Cell Epitopes: Is There Relevance for Vaccine Development?. Frontiers in Immunology. 8. 1441–1441. 15 indexed citations

11.

Liepe, Juliane, Fabio Marino, John Sidney, et al.. (2016). A large fraction of HLA class I ligands are proteasome-generated spliced peptides. Science. 354(6310). 354–358. 270 indexed citations

12.

Ebstein, Frédéric, Kathrin Textoris‐Taube, Christin Keller, et al.. (2016). Proteasomes generate spliced epitopes by two different mechanisms and as efficiently as non-spliced epitopes. Scientific Reports. 6(1). 24032–24032. 79 indexed citations

13.

Textoris‐Taube, Kathrin, Christin Keller, Juliane Liepe, et al.. (2015). The T210M Substitution in the HLA-a*02:01 gp100 Epitope Strongly Affects Overall Proteasomal Cleavage Site Usage and Antigen Processing. Journal of Biological Chemistry. 290(51). 30417–30428. 20 indexed citations

14.

Kloß, Alexander, Sabrina Gohlke, Michele Mishto, et al.. (2013). Poly-Ub-Substrate-Degradative Activity of 26S Proteasome Is Not Impaired in the Aging Rat Brain. PLoS ONE. 8(5). e64042–e64042. 25 indexed citations

15.

Tieri, Paolo, Andrea Grignolio, Alexey Zaikin, et al.. (2010). Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system. Theoretical Biology and Medical Modelling. 7(1). 32–32. 61 indexed citations

16.

Cevenini, Elisa, Elena Bellavista, Paolo Tieri, et al.. (2010). Systems Biology and Longevity: An Emerging Approach to Identify Innovative Anti- Aging Targets and Strategies. Current Pharmaceutical Design. 16(7). 802–813. 48 indexed citations

17.

Salvioli, Stefano, Olivieri Fabiola, Francesca Marchegiani, et al.. (2006). Genes, ageing and longevity in humans: Problems, advantages and perspectives. Free Radical Research. 40(12). 1303–1323. 57 indexed citations

18.

Mishto, Michele, Elena Bellavista, Aurelia Santoro, et al.. (2005). Immunoproteasome and LMP2 polymorphism in aged and Alzheimer's disease brains. Neurobiology of Aging. 27(1). 54–66. 179 indexed citations

19.

Mishto, Michele, Aurelia Santoro, Elena Bellavista, et al.. (2003). Immunoproteasomes and immunosenescence. Ageing Research Reviews. 2(4). 419–432. 62 indexed citations

20.

Mishto, Michele, Massimiliano Bonafè, Stefano Salvioli, Olivieri Fabiola, & Claudio Franceschi. (2002). Age dependent impact of LMP polymorphisms on TNFα-induced apoptosis in human peripheral blood mononuclear cells. Experimental Gerontology. 37(2-3). 301–308. 17 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.

Explore authors with similar magnitude of impact