William T. Symonds
- Hepatology top 0.1%
- Epidemiology top 0.5%
- Infectious Diseases top 1%
- Rheumatology top 5%
- Molecular Biology
- Co-authors
- Robert H. HylandJohn G. McHutchisonXiao DingEdward GaneEvguenia S. SvarovskaiaM. Michelle BerreyEric LawitzR. Hindes
- Topics
- Hepatitis C virus research (57 papers)Liver Disease Diagnosis and Treatment (27 papers)HIV/AIDS drug development and treatment (25 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
William T. Symonds
87 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Hepatology 4.2k
- Epidemiology 3.8k
- Infectious Diseases 1.2k
- Rheumatology 311
- Molecular Biology 306
Countries citing papers authored by William T. Symonds
This map shows the geographic impact of William T. Symonds'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 William T. Symonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Symonds more than expected).
Fields of papers citing papers by William T. Symonds
This network shows the impact of papers produced by William T. Symonds. 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 William T. Symonds. The network helps show where William T. Symonds may publish in the future.
Co-authorship network of co-authors of William T. Symonds
This figure shows the co-authorship network connecting the top 25 collaborators of William T. Symonds. A scholar is included among the top collaborators of William T. Symonds 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 William T. Symonds. William T. Symonds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 196 | |
| 2 | 23 | |
| 3 | 254 | |
| 4 | 122 | |
| 5 | 2 | |
| 6 | Sofosbuvir and Ribavirin in HCV Genotypes 2 and 3breakdown → | 592 |
| 7 | 4 | |
| 8 | 13 | |
| 9 | Sofosbuvir and ledipasvir fixed-dose combination with and without ribavirin in treatment-naive and previously treated patients with genotype 1 hepatitis C virus infection (LONESTAR): an open-label, randomised, phase 2 trialbreakdown → | 438 |
| 10 | 227 | |
| 11 | 157 | |
| 12 | Nucleotide Polymerase Inhibitor Sofosbuvir plus Ribavirin for Hepatitis Cbreakdown → | 542 |
| 13 | 85 | |
| 14 | 11 | |
| 15 | 43 | |
| 16 | 90 | |
| 17 | 35 | |
| 18 | Pharmacodynamics of 141W94 as determined by short term change in HIV RNA Influence of viral isolate baseline EC50 | 4 |
| 19 | 12 | |
| 20 | 22 |
About William T. Symonds
William T. Symonds is a scholar working on Hepatology, Virology and Epidemiology, having authored 89 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (57 papers), Liver Disease Diagnosis and Treatment (27 papers) and HIV/AIDS drug development and treatment (25 papers). The work is most often cited by research in Hepatology (4.2k citations), Epidemiology (3.8k citations) and Infectious Diseases (1.2k citations). William T. Symonds has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Robert H. Hyland, John G. McHutchison, Xiao Ding, Edward Gane, Evguenia S. Svarovskaia, M. Michelle Berrey, Eric Lawitz, R. Hindes, Diana M. Brainard and Catherine Stedman. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.