Simeone Marino
- Modeling and Simulation top 0.5%
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 23
- Immunology top 2%
- Immunotherapy and Immune Responses 5
- Epidemiology top 2%
- Mycobacterium research and diagnosis 15
- Pneumocystis jirovecii pneumonia detection and treatment 4
-
- Liquid Crystal Research Advancements 8
-
- Gene Regulatory Network Analysis 6
- Metabolomics and Mass Spectrometry Studies 5
- vaccines and immunoinformatics approaches 5
- Co-authors
- Denise E. KirschnerIan B. HogueJ. Christian J. RayJennifer J. LindermanJoAnne L. FlynnJoshua T. MattilaNicholas A. CilfonePhilana Ling Lin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (6 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Simeone Marino
61 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Modeling and Simulation 683
- Infectious Diseases 1.6k
- Immunology 942
- Epidemiology 1.1k
- Public Health, Environmental and Occupational Health 795
Countries citing papers authored by Simeone Marino
This map shows the geographic impact of Simeone Marino'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 Simeone Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simeone Marino more than expected).
Fields of papers citing papers by Simeone Marino
This network shows the impact of papers produced by Simeone Marino. 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 Simeone Marino. The network helps show where Simeone Marino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simeone Marino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 6 | |
| 3 | 2019 | 18 | |
| 4 | 2018 | 3 | |
| 5 | 2017 | 56 | |
| 6 | 2016 | 31 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 9 | |
| 9 | 2014 | 24 | |
| 10 | 2013 | 92 | |
| 11 | 2012 | 7 | |
| 12 | 2011 | 67 | |
| 13 | 2010 | 48 | |
| 14 | 2010 | 71 | |
| 15 | A methodology for performing global uncertainty and sensitivity analysis in systems biologybreakdown → | 2008 | 2072 |
| 16 | 2006 | 49 | |
| 17 | 2005 | 24 | |
| 18 | 2004 | 100 | |
| 19 | 2004 | 124 | |
| 20 | 2002 | 7 |
About Simeone Marino
Simeone Marino is a scholar working on Infectious Diseases, Health Informatics and Modeling and Simulation, having authored 61 papers that have together received 4.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (15 papers), Liquid Crystal Research Advancements (8 papers), Gene Regulatory Network Analysis (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). The work is most often cited by research in Modeling and Simulation (683 citations), Infectious Diseases (1.6k citations) and Immunology (942 citations). Simeone Marino has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Denise E. Kirschner, Ian B. Hogue, J. Christian J. Ray, Jennifer J. Linderman, JoAnne L. Flynn, Joshua T. Mattila, Nicholas A. Cilfone, Philana Ling Lin, Mohammed El-Kebir and Amy Myers. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.
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.