Marco Schito

8.9k total citations · 2 hit papers
73 papers, 4.7k citations indexed

About

Marco Schito is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Marco Schito has authored 73 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 30 papers in Epidemiology and 21 papers in Virology. Recurrent topics in Marco Schito's work include Tuberculosis Research and Epidemiology (28 papers), HIV Research and Treatment (21 papers) and Mycobacterium research and diagnosis (15 papers). Marco Schito is often cited by papers focused on Tuberculosis Research and Epidemiology (28 papers), HIV Research and Treatment (21 papers) and Mycobacterium research and diagnosis (15 papers). Marco Schito collaborates with scholars based in United States, United Kingdom and Canada. Marco Schito's co-authors include Alan Sher, Alimuddin Zumla, Júlio Aliberti, Caetano Reis e Sousa, Markus Maeurer, Oliver Schulz, Madhukar Pai, Sara Hieny, Matthias Hesse and Manuel Modolell and has published in prestigious journals such as Immunity, Nature Immunology and The Journal of Immunology.

In The Last Decade

Marco Schito

72 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differential Regulation of Nitric Oxide Synthase-2 and Arginase-1 by Type 1/Type 2 Cytokines In Vivo: Granulomatous Pathology Is Shaped by the Pattern of l -Arginine Metabolism

2001 571 citations Matthias Hesse, Manuel Modolell et al. The Journal of Immunology profile →
Advances in tuberculosis diagnostics: the Xpert MTB/RIF assay and future prospects for a point-of-care test

2013 356 citations Peter Mwaba, Ben J. Marais et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Schito United States	33	2.1k	1.7k	1.5k	833	633	73	4.7k
Charles A. Scanga United States	30	2.5k 1.2×	2.1k 1.3×	2.1k 1.4×	648 0.8×	695 1.1×	66	4.4k
Didier Hober France	38	2.1k 1.0×	1.1k 0.7×	1.3k 0.8×	963 1.2×	590 0.9×	233	5.5k
Philippe Lagrange France	41	2.5k 1.2×	2.2k 1.3×	2.0k 1.3×	1.0k 1.2×	964 1.5×	167	6.2k
Andrea Carfı́ United States	44	1.6k 0.7×	2.6k 1.6×	1.2k 0.8×	2.6k 3.2×	446 0.7×	91	6.7k
Dana G. Wolf Israel	42	1.9k 0.9×	3.4k 2.0×	1.5k 1.0×	961 1.2×	338 0.5×	159	6.6k
Arnaud M. Didierlaurent Switzerland	37	1.7k 0.8×	1.8k 1.1×	3.5k 2.3×	1.5k 1.8×	237 0.4×	80	6.1k
Sui‐Yuan Chang Taiwan	36	2.2k 1.0×	1.5k 0.9×	505 0.3×	1.9k 2.2×	251 0.4×	247	5.7k
Padmini Salgame United States	47	2.9k 1.4×	2.4k 1.4×	3.1k 2.0×	1.2k 1.4×	882 1.4×	142	6.9k
Wangxue Chen Canada	42	1.2k 0.6×	773 0.5×	1.1k 0.7×	2.4k 2.9×	511 0.8×	167	5.4k
Suman R. Das United States	38	1.3k 0.6×	1.9k 1.1×	781 0.5×	1.3k 1.6×	340 0.5×	144	4.4k

Countries citing papers authored by Marco Schito

Since Specialization

Citations

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

Fields of papers citing papers by Marco Schito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Schito

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

All Works

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20 of 20 papers shown

Dixit, Avika, Yasha Ektefaie, Anju Kagal, et al.. (2024). Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India. The Journal of Infectious Diseases. 231(1). 84–93. 2 indexed citations

Schito, Marco, et al.. (2024). Real‐world evidence in the cloud: Tutorial on developing an end‐to‐end data and analytics pipeline using Amazon Web Services resources. Clinical and Translational Science. 17(12). e70078–e70078. 1 indexed citations

Gupta, Mukund, et al.. (2022). Role of tigecycline in the treatment of urinary tract infections: a systematic review of published case reports. Infezioni in Medicina. 30(4). 516–524. 3 indexed citations

Goel, Neha, Allyson V. Ritchie, Sekesai Mtapuri‐Zinyowera, et al.. (2017). Performance of the SAMBA I and II HIV-1 Semi-Q Tests for viral load monitoring at the point-of-care. Journal of Virological Methods. 244. 39–45. 28 indexed citations

Zumla, Alimuddin, Marco Schito, Jeremiah Chakaya, et al.. (2016). World TB Day 2016: reflections on the global TB emergency. The Lancet Respiratory Medicine. 4(4). 249–251. 7 indexed citations

Hanna, Debra, Klaus Romero, & Marco Schito. (2016). Advancing tuberculosis drug regimen development through innovative quantitative translational pharmacology methods and approaches. International Journal of Infectious Diseases. 56. 208–211. 5 indexed citations

Salamon, Hugh, Ken Yamaguchi, Daniela María Cirillo, et al.. (2015). Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S50–S57. 26 indexed citations

Schito, Marco, Markus Maeurer, Peter Kim, Debra Hanna, & Alimuddin Zumla. (2015). Translating the Tuberculosis Research Agenda: Much Accomplished, but Much More to Be Done: Figure 1.. Clinical Infectious Diseases. 61(suppl 3). S95–S101. 16 indexed citations

Denkinger, Claudia M., Sandra V. Kik, Daniela María Cirillo, et al.. (2015). Defining the Needs for Next Generation Assays for Tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S29–S38. 113 indexed citations

10.

Manak, Mark, Indira Hewlett, Eric Sanders‐Buell, et al.. (2011). Pilot Studies for Development of an HIV Subtype Panel for Surveillance of Global Diversity. AIDS Research and Human Retroviruses. 28(6). 594–606. 15 indexed citations

11.

Schito, Marco, Oleg N. Demidov, Shinichi Saito, Jonathan D. Ashwell, & Ettore Appella. (2006). Wip1 Phosphatase-Deficient Mice Exhibit Defective T Cell Maturation Due To Sustained p53 Activation. The Journal of Immunology. 176(8). 4818–4825. 43 indexed citations

12.

Báfica, André, Charles A. Scanga, Marco Schito, Damien Chaussabel, & Alan Sher. (2004). Influence of Coinfecting Pathogens on HIV Expression: Evidence for a Role of Toll-Like Receptors. The Journal of Immunology. 172(12). 7229–7234. 81 indexed citations

13.

Báfica, André, Charles A. Scanga, Marco Schito, Sara Hieny, & Alan Sher. (2003). Cutting Edge: In Vivo Induction of Integrated HIV-1 Expression by Mycobacteria Is Critically Dependent on Toll-Like Receptor 2. The Journal of Immunology. 171(3). 1123–1127. 50 indexed citations

14.

Equils, Ozlem, Marco Schito, Zeynep Madak‐Erdogan, et al.. (2003). Toll-Like Receptor 2 (TLR2) and TLR9 Signaling Results in HIV-Long Terminal Repeat Trans -Activation and HIV Replication in HIV-1 Transgenic Mouse Spleen Cells: Implications of Simultaneous Activation of TLRs on HIV Replication. The Journal of Immunology. 170(10). 5159–5164. 88 indexed citations

15.

Schito, Marco, Atul Goel, Yongsheng Song, et al.. (2003). In Vivo Antiviral Activity of Novel Human Immunodeficiency Virus Type 1 Nucleocapsid p7 Zinc Finger Inhibitors in a Transgenic Murine Model. AIDS Research and Human Retroviruses. 19(2). 91–101. 35 indexed citations

16.

Greenwell‐Wild, Teresa, Nancy Vázquez, Davis Sim, et al.. (2002). Mycobacterium avium Infection and Modulation of Human Macrophage Gene Expression. The Journal of Immunology. 169(11). 6286–6297. 37 indexed citations

17.

Chougnet, Claire, et al.. (2001). In Vivo CD40-CD154 (CD40 Ligand) Interaction Induces Integrated HIV Expression by APC in an HIV-1-Transgenic Mouse Model. The Journal of Immunology. 166(5). 3210–3217. 16 indexed citations

18.

Hesse, Matthias, Manuel Modolell, Anne Camille La Flamme, et al.. (2001). Differential Regulation of Nitric Oxide Synthase-2 and Arginase-1 by Type 1/Type 2 Cytokines In Vivo: Granulomatous Pathology Is Shaped by the Pattern of l -Arginine Metabolism. The Journal of Immunology. 167(11). 6533–6544. 571 indexed citations breakdown →

19.

Schito, Marco, et al.. (2001). A Human Immunodeficiency Virus–Transgenic Mouse Model for Assessing Interventions that Block Microbial‐Induced Proviral Expression. The Journal of Infectious Diseases. 183(11). 1592–1600. 15 indexed citations

20.

Sousa, Caetano Reis e, George Yap, Oliver Schulz, et al.. (1999). Paralysis of Dendritic Cell IL-12 Production by Microbial Products Prevents Infection-Induced Immunopathology. Immunity. 11(5). 637–647. 162 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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