Guido Massaccesi

956 total citations
17 papers, 511 citations indexed

About

Guido Massaccesi is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Guido Massaccesi has authored 17 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 6 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Guido Massaccesi's work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers) and COVID-19 Clinical Research Studies (3 papers). Guido Massaccesi is often cited by papers focused on Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers) and COVID-19 Clinical Research Studies (3 papers). Guido Massaccesi collaborates with scholars based in United States, France and Bahrain. Guido Massaccesi's co-authors include Michael A. Chattergoon, Andrea L. Cox, Richard M. Hooy, Jungsan Sohn, Russell Wesson, Darin Ostrander, Diane Brown, Christine M. Durand, Fizza Naqvi and Dorry L. Segev and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Guido Massaccesi

17 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Massaccesi United States 10 265 182 129 126 124 17 511
Caroline Tinguely Switzerland 12 150 0.6× 191 1.0× 138 1.1× 13 0.1× 100 0.8× 27 520
Donatella Ciuffreda Italy 13 242 0.9× 313 1.7× 345 2.7× 62 0.5× 331 2.7× 24 878
Stephen Delaney United States 12 173 0.7× 163 0.9× 113 0.9× 41 0.3× 31 0.3× 19 380
A. Benedict Cosimi United States 8 77 0.3× 182 1.0× 86 0.7× 106 0.8× 44 0.4× 11 420
Shalyn C. Clute United States 7 87 0.3× 203 1.1× 386 3.0× 16 0.1× 67 0.5× 7 547
Nuray Aslan United States 12 200 0.8× 256 1.4× 269 2.1× 8 0.1× 68 0.5× 21 522
Sasijit Vejbaesya Thailand 13 58 0.2× 158 0.9× 179 1.4× 10 0.1× 186 1.5× 27 457
Karolin Falconer Sweden 14 355 1.3× 348 1.9× 328 2.5× 8 0.1× 169 1.4× 26 771
Bach Nga Pham France 7 306 1.2× 357 2.0× 72 0.6× 8 0.1× 96 0.8× 22 540
Pierre Caudrelier France 9 19 0.1× 103 0.6× 197 1.5× 90 0.7× 128 1.0× 19 454

Countries citing papers authored by Guido Massaccesi

Since Specialization
Citations

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

Fields of papers citing papers by Guido Massaccesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Massaccesi

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

All Works

17 of 17 papers shown
1.
Hsieh, Leon L., Guido Massaccesi, Franco R. D’Alessio, et al.. (2024). Bystander monocytic cells drive infection-independent NLRP3 inflammasome response to SARS-CoV-2. mBio. 15(10). e0081024–e0081024. 3 indexed citations
2.
Zahid, Muhammad, Shuyi Wang, Guido Massaccesi, et al.. (2022). Repeated exposure to heterologous hepatitis C viruses associates with enhanced neutralizing antibody breadth and potency. Journal of Clinical Investigation. 132(15). 9 indexed citations
3.
Massaccesi, Guido, William H. Aisenberg, Wensheng Luo, et al.. (2022). Cross-reactive antibodies facilitate innate sensing of dengue and Zika viruses. JCI Insight. 7(12). 4 indexed citations
4.
Nishio, Akira, Heiyoung Park, Lela Kardava, et al.. (2022). Serum neutralization activity declines but memory B cells persist after cure of chronic hepatitis C. Nature Communications. 13(1). 5446–5446. 9 indexed citations
5.
Scully, Eileen P., Guido Massaccesi, John Muschelli, et al.. (2021). Sex and Gender Differences in Testing, Hospital Admission, Clinical Presentation, and Drivers of Severe Outcomes From COVID-19. Open Forum Infectious Diseases. 8(9). ofab448–ofab448. 39 indexed citations
6.
Karaba, Andrew H., Weiqiang Zhou, Leon L. Hsieh, et al.. (2021). Differential Cytokine Signatures of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Influenza Infection Highlight Key Differences in Pathobiology. Clinical Infectious Diseases. 74(2). 254–262. 29 indexed citations
7.
Massaccesi, Guido, et al.. (2021). SARS-CoV-2 ORF3A activates the nlrp3 inflammasome. 29(1). 71–71. 1 indexed citations
8.
Quinn, Jeffrey, Ashish Goyal, Ruy M. Ribeiro, et al.. (2021). Antiretroviral therapy for HIV and intrahepatic hepatitis C virus replication. AIDS. 36(3). 337–346. 2 indexed citations
9.
Karaba, Andrew H., et al.. (2020). Herpes simplex virus type 1 inflammasome activation in proinflammatory human macrophages is dependent on NLRP3, ASC, and caspase-1. PLoS ONE. 15(2). e0229570–e0229570. 41 indexed citations
10.
Hooy, Richard M., et al.. (2020). Allosteric coupling between Mn2+ and dsDNA controls the catalytic efficiency and fidelity of cGAS. Nucleic Acids Research. 48(8). 4435–4447. 82 indexed citations
11.
Massaccesi, Guido, Andrew I. Flyak, Madeleine C. Mankowski, et al.. (2019). Plasma deconvolution identifies broadly neutralizing antibodies associated with hepatitis C virus clearance. Journal of Clinical Investigation. 129(11). 4786–4796. 36 indexed citations
12.
Flyak, Andrew I., Guido Massaccesi, Edgar Davidson, et al.. (2019). Broadly Neutralizing Antibodies Targeting New Sites of Vulnerability in Hepatitis C Virus E1E2. Journal of Virology. 93(14). 35 indexed citations
13.
Rose, Rebecca, James J. Dollar, Susanna L. Lamers, et al.. (2019). Inconsistent temporal patterns of genetic variation of HCV among high-risk subjects may impact inference of transmission networks. Infection Genetics and Evolution. 71. 1–6. 2 indexed citations
14.
Durand, Christine M., Mary G. Bowring, Diane Brown, et al.. (2018). Direct-Acting Antiviral Prophylaxis in Kidney Transplantation From Hepatitis C Virus–Infected Donors to Noninfected Recipients. Annals of Internal Medicine. 2 indexed citations
15.
Durand, Christine M., Mary G. Bowring, Diane Brown, et al.. (2018). Direct-Acting Antiviral Prophylaxis in Kidney Transplantation From Hepatitis C Virus–Infected Donors to Noninfected Recipients. Annals of Internal Medicine. 168(8). 533–540. 191 indexed citations
16.
Veenhuis, Rebecca T., Zachary T. Freeman, Guido Massaccesi, et al.. (2017). HIV-antibody complexes enhance production of type I interferon by plasmacytoid dendritic cells. Journal of Clinical Investigation. 127(12). 4352–4364. 16 indexed citations
17.
Rose, Rebecca, Susanna L. Lamers, Guido Massaccesi, et al.. (2017). Complex patterns of Hepatitis-C virus longitudinal clustering in a high-risk population. Infection Genetics and Evolution. 58. 77–82. 10 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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