Lisa M. Nyberg
- Hepatology top 0.5%
- Epidemiology top 2%
- Infectious Diseases top 10%
- Rheumatology top 10%
- Hematology top 10%
- Co-authors
- John G. McHutchisonPaul J. PockrosMitchell L. ShiffmanJanice K. AlbrechtReem GhalibClifford A. BrassLisa D. PediconeBruce R. Bacon
- Topics
- Hepatitis C virus research (31 papers)Liver Disease Diagnosis and Treatment (20 papers)Hepatitis B Virus Studies (13 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Lisa M. Nyberg
37 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Hepatology 1.5k
- Epidemiology 1.4k
- Infectious Diseases 241
- Rheumatology 143
- Hematology 90
Countries citing papers authored by Lisa M. Nyberg
This map shows the geographic impact of Lisa M. Nyberg'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 M. Nyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Nyberg more than expected).
Fields of papers citing papers by Lisa M. Nyberg
This network shows the impact of papers produced by Lisa M. Nyberg. 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 M. Nyberg. The network helps show where Lisa M. Nyberg may publish in the future.
Co-authorship network of co-authors of Lisa M. Nyberg
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Nyberg. A scholar is included among the top collaborators of Lisa M. Nyberg 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 M. Nyberg. Lisa M. Nyberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 20 | |
| 5 | 8 | |
| 6 | 74 | |
| 7 | 8 | |
| 8 | 38 | |
| 9 | 40 | |
| 10 | PREDICTING PEGINTERFERON-alpha AND RIBAVIRIN TREATMENT RESPONSE IN GENOTYPE 1 HCV PATIENTS - SIMPLE NOMOGRAMS TO SUPPORT CLINICIANS | 1 |
| 11 | Impaired Fasting Glucose Is Associated With Lower Rates of Sustained Virologic Response (SVR) in Patients With Genotype 1 Chronic Hepatitis C (CHC): Retrospective Analysis of the IDEAL Study | 2 |
| 12 | Peginterferon Alfa-2b or Alfa-2a with Ribavirin for Treatment of Hepatitis C Infectionbreakdown → | 889 |
| 13 | Hematologic Safety Data From the IDEAL Trial: Neutropenia, Anemia, and Thrombocytopenia Profiles of Peginterferon alfa/Ribavirin | 1 |
| 14 | 74 | |
| 15 | 56 | |
| 16 | 23 | |
| 17 | 59 | |
| 18 | 117 | |
| 19 | 73 | |
| 20 | 28 |
About Lisa M. Nyberg
Lisa M. Nyberg is a scholar working on Hepatology, Epidemiology and Rheumatology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (31 papers), Liver Disease Diagnosis and Treatment (20 papers) and Hepatitis B Virus Studies (13 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (1.4k citations) and Infectious Diseases (241 citations). Lisa M. Nyberg has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include John G. McHutchison, Paul J. Pockros, Mitchell L. Shiffman, Janice K. Albrecht, Reem Ghalib, Clifford A. Brass, Lisa D. Pedicone, Bruce R. Bacon, Andrea Duchini and Jonathan McCone. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Hepatology.
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.