Elisa Saccon

664 total citations
9 papers, 337 citations indexed

About

Elisa Saccon is a scholar working on Infectious Diseases, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Elisa Saccon has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Organic Chemistry. Recurrent topics in Elisa Saccon's work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Elisa Saccon is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Elisa Saccon collaborates with scholars based in Sweden, United States and Italy. Elisa Saccon's co-authors include Soham Gupta, Ujjwal Neogi, Ákos Végvári, Flora Mikaeloff, Alì Mirazimi, Shuba Krishnan, Maike Sperk, Kamalendra Singh, Josef Penninger and Rui Benfeitas and has published in prestigious journals such as Frontiers in Immunology, Journal of Proteome Research and Viruses.

In The Last Decade

Elisa Saccon

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisa Saccon Sweden 7 178 120 64 41 31 9 337
Flora Mikaeloff Sweden 11 202 1.1× 143 1.2× 83 1.3× 43 1.0× 40 1.3× 15 399
Sara Svensson Akusjärvi Sweden 10 178 1.0× 160 1.3× 82 1.3× 40 1.0× 56 1.8× 17 447
Fahima Danesh Pouya Iran 8 144 0.8× 96 0.8× 33 0.5× 44 1.1× 22 0.7× 14 301
Natalia Zamorano Cuervo Canada 7 198 1.1× 124 1.0× 80 1.3× 58 1.4× 62 2.0× 13 380
Jitendra Kumar Chaudhary India 9 238 1.3× 154 1.3× 60 0.9× 32 0.8× 30 1.0× 34 516
Yu-Jen Jou Taiwan 9 139 0.8× 178 1.5× 79 1.2× 28 0.7× 23 0.7× 9 497
Yanting Wu China 10 98 0.6× 180 1.5× 56 0.9× 30 0.7× 44 1.4× 27 427
Chiao-Yin Sun Taiwan 7 123 0.7× 138 1.1× 31 0.5× 21 0.5× 63 2.0× 14 380
Xiaolan Yang China 9 360 2.0× 96 0.8× 65 1.0× 102 2.5× 69 2.2× 17 536
Chun‐Che Liao Taiwan 12 155 0.9× 96 0.8× 42 0.7× 23 0.6× 43 1.4× 20 319

Countries citing papers authored by Elisa Saccon

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Saccon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Saccon

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

All Works

9 of 9 papers shown
1.
Saccon, Elisa, Xi Chen, Flora Mikaeloff, et al.. (2021). Cell-type-resolved quantitative proteomics map of interferon response against SARS-CoV-2. iScience. 24(5). 102420–102420. 38 indexed citations
2.
Chen, Xi, Elisa Saccon, Flora Mikaeloff, et al.. (2021). Type-I interferon signatures in SARS-CoV-2 infected Huh7 cells. Cell Death Discovery. 7(1). 114–114. 22 indexed citations
3.
Saccon, Elisa, Flora Mikaeloff, Ákos Végvári, et al.. (2021). Cytotoxic Lymphocytes Target HIV-1 Gag Through Granzyme M-Mediated Cleavage. Frontiers in Immunology. 12. 669347–669347. 2 indexed citations
4.
Székely, László, Béla Bozóky, Lars Haag, et al.. (2021). Pulmonary stromal expansion and intra-alveolar coagulation are primary causes of COVID-19 death. Heliyon. 7(5). e07134–e07134. 16 indexed citations
5.
Vecchio, Claudia Del, Elisa Saccon, Cristina Parolin, et al.. (2021). Targeting the Regulatory Subunit R2Alpha of Protein Kinase A in Human Glioblastoma through shRNA-Expressing Lentiviral Vectors. Viruses. 13(7). 1361–1361. 2 indexed citations
6.
Appelberg, Sofia, Soham Gupta, Sara Svensson Akusjärvi, et al.. (2020). Dysregulation in Akt/mTOR/HIF-1 signaling identified by proteo-transcriptomics of SARS-CoV-2 infected cells. Emerging Microbes & Infections. 9(1). 1748–1760. 195 indexed citations
7.
Sperk, Maike, Robert van Domselaar, Jimmy Rodriguez Murillo, et al.. (2020). Utility of Proteomics in Emerging and Re-Emerging Infectious Diseases Caused by RNA Viruses. Journal of Proteome Research. 19(11). 4259–4274. 34 indexed citations
8.
Sanna, Cinzia, Daniela Rigano, Pierluigi Cortis, et al.. (2018). Onopordum illyricum L., a Mediterranean plant, as a source of anti HIV-1 compounds. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 152(6). 1274–1281. 8 indexed citations
9.
Esposito, Francesca, Manuela Mandrone, Claudia Del Vecchio, et al.. (2017). Multi-target activity of Hemidesmus indicus decoction against innovative HIV-1 drug targets and characterization of Lupeol mode of action. Pathogens and Disease. 75(6). 20 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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