Naina Barretto

2.4k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Naina Barretto is a scholar working on Epidemiology, Hepatology and Rheumatology. According to data from OpenAlex, Naina Barretto has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Hepatology and 3 papers in Rheumatology. Recurrent topics in Naina Barretto's work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and interferon and immune responses (2 papers). Naina Barretto is often cited by papers focused on Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and interferon and immune responses (2 papers). Naina Barretto collaborates with scholars based in United States, China and Canada. Naina Barretto's co-authors include Susan C. Baker, Andrew D. Mesecar, Kiira Ratia, Zhongbin Chen, Mark E. Peeples, Dalia Jukneliene, Sunee Techaarpornkul, Susan L. Uprichard, Bruno Sáinz and Raymond C. Stevens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Naina Barretto

13 papers receiving 1.8k 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.

Identification of the Niemann-Pick C1–like 1 cholesterol absorption receptor as a new hepatitis C virus entry factor

2012 350 citations Bruno Sáinz, Naina Barretto et al. Nature Medicine profile →

Peers

Countries citing papers authored by Naina Barretto

Since Specialization

Citations

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

Fields of papers citing papers by Naina Barretto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naina Barretto

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

All Works

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14 of 14 papers shown

#	Title	Journal	Authors	Indexed citations
1	Characteristics and Management of Uncontrolled Gout Prior to Pegloticase Therapy: A 2-year Claims Analysis	Rheumatology and Therapy	Robert Morlock, Deepan Dalal et al.	0
2	Assessment of Hearing Dysfunction in Patients With Graves’ Disease and Thyroid Eye Disease Without or With Teprotumumab	The Journal of Clinical Endocrinology & Metabolism	Terry J. Smith, Robert J. Holt et al.	4
3	Hepatitis C virus Cell-to-cell Spread Assay	BIO-PROTOCOL	Naina Barretto, Susan L. Uprichard	5
4	Determining the Involvement and Therapeutic Implications of Host Cellular Factors in Hepatitis C Virus Cell-to-Cell Spread	Journal of Virology	Naina Barretto, Bruno Sáinz et al.	32
5	Identification of the Niemann-Pick C1–like 1 cholesterol absorption receptor as a new hepatitis C virus entry factor breakdown →	Nature Medicine	Bruno Sáinz, Naina Barretto et al.	350
6	Permissiveness of human hepatoma cell lines for HCV infection	Virology Journal	Bruno Sáinz, Naina Barretto et al.	16
7	New hepatitis C virus drug discovery strategies and model systems	Expert Opinion on Drug Discovery	Snawar Hussain, Naina Barretto et al.	2
8	Hepatitis C Virus Infection in Phenotypically Distinct Huh7 Cell Lines	PLoS ONE	Bruno Sáinz, Naina Barretto et al.	51
9	Regulation of IRF-3-dependent Innate Immunity by the Papain-like Protease Domain of the Severe Acute Respiratory Syndrome Coronavirus	Journal of Biological Chemistry	Nan Wang, Zhongbin Chen et al.	313
10	Deubiquitinating Activity of the SARS-CoV Papain-Like Protease	Advances in experimental medicine and biology	Naina Barretto, Dalia Jukneliene et al.	28
11	Severe acute respiratory syndrome coronavirus papain-like protease: Structure of a viral deubiquitinating enzyme	Proceedings of the National Academy of Sciences	Kiira Ratia, Kumar Singh Saikatendu et al.	332
12	The Papain-Like Protease of Severe Acute Respiratory Syndrome Coronavirus Has Deubiquitinating Activity	Journal of Virology	Naina Barretto, Dalia Jukneliene et al.	428
13	Neuraminidase treatment of respiratory syncytial virus-infected cells or virions, but not target cells, enhances cell–cell fusion and infection	Virology	Naina Barretto, Louay K. Hallak et al.	25
14	Functional Analysis of Recombinant Respiratory Syncytial Virus Deletion Mutants Lacking the Small Hydrophobic and/or Attachment Glycoprotein Gene	Journal of Virology	Sunee Techaarpornkul, Naina Barretto et al.	222

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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