M. Diago
- Hepatology top 0.02%
- Hepatitis C virus research 106
- Liver Disease and Transplantation 7
- Liver Diseases and Immunity 5
- Epidemiology top 0.05%
- Liver Disease Diagnosis and Treatment 65
- Hepatitis B Virus Studies 51
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 28
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment 9
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- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Mitchell L. ShiffmanJoseph H. HoffmanK. Rajender ReddyMichael FriedFernando Lopes GonçalesAntonio Craxı̀George MarinosColeman I. Smith
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
M. Diago
127 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hepatology 10.7k
- Epidemiology 10.8k
- Endocrinology, Diabetes and Metabolism 1.2k
- Rheumatology 976
- Infectious Diseases 990
Countries citing papers authored by M. Diago
This map shows the geographic impact of M. Diago'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 M. Diago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Diago more than expected).
Fields of papers citing papers by M. Diago
This network shows the impact of papers produced by M. Diago. 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 M. Diago. The network helps show where M. Diago may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Diago, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2014 | 5 | |
| 4 | SVR12 Rate of 98.6% in 992 HCV Genotype 1b-Infected Patients Treated with ABT-450/r/Ombitasvir and Dasabuvir With or Without Ribavirin | 2014 | 2 |
| 5 | 2013 | 6 | |
| 6 | No association between IL28B genotype and response to peginterferon alfa-2a (40KD) in HBe antigen-positive and HBe antigen-negative patients with chronic hepatitis B in three large randomized clinical studies | 2013 | 1 |
| 7 | 2012 | 23 | |
| 8 | 2012 | 10 | |
| 9 | 2011 | 23 | |
| 10 | 2011 | 21 | |
| 11 | 2011 | 5 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 36 | |
| 14 | 2007 | 0 | |
| 15 | 2006 | 23 | |
| 16 | 2006 | 4 | |
| 17 | 2005 | 121 | |
| 18 | 2004 | 15 | |
| 19 | 2000 | 29 | |
| 20 | 1999 | 53 |
About M. Diago
M. Diago is a scholar working on Hepatology, Epidemiology and Rheumatology, having authored 131 papers that have together received 12.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (106 papers), Liver Disease Diagnosis and Treatment (65 papers), Hepatitis B Virus Studies (51 papers), Systemic Lupus Erythematosus Research (28 papers), HIV/AIDS drug development and treatment (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Liver Disease and Transplantation (7 papers) and Liver Diseases and Immunity (5 papers). The work is most often cited by research in Hepatology (10.7k citations), Epidemiology (10.8k citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). M. Diago has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Mitchell L. Shiffman, Joseph H. Hoffman, K. Rajender Reddy, Michael Fried, Fernando Lopes Gonçales, Antonio Craxı̀, George Marinos, Coleman I. Smith, Dieter Häussinger and Daniel Dhumeaux. Their work appears in journals such as Journal of Hepatology, Gastroenterology, Hepatology, Journal of Viral Hepatitis and Alimentary Pharmacology & Therapeutics.
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.