Deborah D. Brown

860 total citations · 1 hit paper
5 papers, 450 citations indexed

About

Deborah D. Brown is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Deborah D. Brown has authored 5 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Virology. Recurrent topics in Deborah D. Brown's work include HIV Research and Treatment (2 papers), Hepatitis C virus research (2 papers) and HIV/AIDS drug development and treatment (2 papers). Deborah D. Brown is often cited by papers focused on HIV Research and Treatment (2 papers), Hepatitis C virus research (2 papers) and HIV/AIDS drug development and treatment (2 papers). Deborah D. Brown collaborates with scholars based in United States, Germany and Belgium. Deborah D. Brown's co-authors include Bach‐Yen Nguyen, Mark J. DiNubile, Michael Robertson, Shuyan Wan, Stefan Zeuzem, Ziv Ben Ari, Janice Wahl, Joan R. Butterton, Yue Zhao and Eliav Barr and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and EBioMedicine.

In The Last Decade

Deborah D. Brown

5 papers receiving 439 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.

Grazoprevir–Elbasvir Combination Therapy for Treatment-Naive Cirrhotic and Noncirrhotic Patients With Chronic Hepatitis C Virus Genotype 1, 4, or 6 Infection

2015 386 citations Stefan Zeuzem, Reem Ghalib et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deborah D. Brown United States	4	376	334	177	34	25	5	450
Federico Hinestrosa United States	10	295 0.8×	278 0.8×	160 0.9×	47 1.4×	19 0.8×	28	404
Ana Arizcorreta Spain	7	382 1.0×	316 0.9×	108 0.6×	44 1.3×	12 0.5×	12	428
Juan González Spain	7	285 0.8×	355 1.1×	223 1.3×	63 1.9×	14 0.6×	14	467
Laura Benítez‐Gutiérrez Spain	13	310 0.8×	278 0.8×	148 0.8×	49 1.4×	21 0.8×	20	414
Russell Fleischer United States	7	678 1.8×	693 2.1×	157 0.9×	23 0.7×	15 0.6×	7	779
Eileen Z. Zhang United States	8	529 1.4×	407 1.2×	303 1.7×	31 0.9×	38 1.5×	10	544
I. Guarnori Italy	10	287 0.8×	281 0.8×	60 0.3×	21 0.6×	8 0.3×	17	350
Álvaro Mena Spain	12	337 0.9×	334 1.0×	241 1.4×	120 3.5×	18 0.7×	52	551
María Sales Gilabert Spain	2	534 1.4×	476 1.4×	189 1.1×	46 1.4×	9 0.4×	5	624
Valeria Putzolu Italy	8	521 1.4×	491 1.5×	286 1.6×	66 1.9×	13 0.5×	9	651

Countries citing papers authored by Deborah D. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Deborah D. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah D. Brown. 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 Deborah D. Brown. The network helps show where Deborah D. Brown may publish in the future.

Co-authorship network of co-authors of Deborah D. Brown

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

All Works

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5 of 5 papers shown

1.

Vanhoutte, Frédéric, Wen Liu, Richard T. Wiedmann, et al.. (2022). Safety and immunogenicity of the measles vector-based SARS-CoV-2 vaccine candidate, V591, in adults: results from a phase 1/2 randomised, double-blind, placebo-controlled, dose-ranging trial. EBioMedicine. 75. 103811–103811. 18 indexed citations

2.

Vierling, John M., Paul Y. Kwo, Deborah D. Brown, et al.. (2020). Safety and tolerability of elbasvir/grazoprevir in chronic hepatitis C virus therapy: Integrated analysis from clinical trials. Journal of Viral Hepatitis. 27(11). 1222–1233. 1 indexed citations

3.

Zeuzem, Stefan, Reem Ghalib, K. Rajender Reddy, et al.. (2015). Grazoprevir–Elbasvir Combination Therapy for Treatment-Naive Cirrhotic and Noncirrhotic Patients With Chronic Hepatitis C Virus Genotype 1, 4, or 6 Infection. Annals of Internal Medicine. 163(1). 1–13. 386 indexed citations breakdown →

4.

Teppler, Hedy, Deborah D. Brown, Randi Y. Leavitt, et al.. (2011). Long-Term Safety from the Raltegravir Clinical Development Program. Current HIV Research. 9(1). 40–53. 30 indexed citations

5.

Quirk, Erin, Robin Mogg, Deborah D. Brown, et al.. (2008). HIV Seroconversion without Infection after Receipt of Adenovirus‐Vectored HIV Type 1 Vaccine. Clinical Infectious Diseases. 47(12). 1593–1599. 15 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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