Lisa D. Pedicone
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Infectious Diseases top 1%
- Oncology top 10%
- Rheumatology top 5%
- Co-authors
- Clifford A. BrassJanice K. AlbrechtAmelia LangstonNavdeep BoparaiAndrew J. UllmannKenneth KouryJonathan McConeHernando Patino
- Topics
- Hepatitis C virus research (32 papers)Liver Disease Diagnosis and Treatment (23 papers)Hepatitis B Virus Studies (17 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Lisa D. Pedicone
43 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Epidemiology 3.0k
- Hepatology 2.1k
- Infectious Diseases 1.5k
- Oncology 287
- Rheumatology 234
Countries citing papers authored by Lisa D. Pedicone
This map shows the geographic impact of Lisa D. Pedicone'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 Lisa D. Pedicone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa D. Pedicone more than expected).
Fields of papers citing papers by Lisa D. Pedicone
This network shows the impact of papers produced by Lisa D. Pedicone. 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 Lisa D. Pedicone. The network helps show where Lisa D. Pedicone may publish in the future.
Co-authorship network of co-authors of Lisa D. Pedicone
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa D. Pedicone. A scholar is included among the top collaborators of Lisa D. Pedicone 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 Lisa D. Pedicone. Lisa D. Pedicone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 40 | |
| 8 | 150 | |
| 9 | 49 | |
| 10 | 33 | |
| 11 | 14 | |
| 12 | 47 | |
| 13 | PREDICTORS OF CONSENT TO PHARMACOGENOMICS TESTING IN THE IDEAL STUDY | 0 |
| 14 | PREDICTING PEGINTERFERON-alpha AND RIBAVIRIN TREATMENT RESPONSE IN GENOTYPE 1 HCV PATIENTS - SIMPLE NOMOGRAMS TO SUPPORT CLINICIANS | 1 |
| 15 | 5 | |
| 16 | 82 | |
| 17 | 52 | |
| 18 | Peginterferon Alfa-2b or Alfa-2a with Ribavirin for Treatment of Hepatitis C Infectionbreakdown → | 889 |
| 19 | 29 | |
| 20 | 23 |
About Lisa D. Pedicone
Lisa D. Pedicone is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 56 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (32 papers), Liver Disease Diagnosis and Treatment (23 papers) and Hepatitis B Virus Studies (17 papers). The work is most often cited by research in Hepatology (2.1k citations), Epidemiology (3.0k citations) and Infectious Diseases (1.5k citations). Lisa D. Pedicone has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Clifford A. Brass, Janice K. Albrecht, Amelia Langston, Navdeep Boparai, Andrew J. Ullmann, Kenneth Koury, Jonathan McCone, Hernando Patino, Joseph Galati and Eric Lawitz. Their work appears in journals such as New England Journal of Medicine, The Lancet and Gastroenterology.
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.