Jessica Hwang
- Epidemiology top 0.2%
- Hepatology top 0.1%
- Oncology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Co-authors
- Norah A. TerraultNatalie BzowejKyong‐Mi ChangMaureen M. JonasAndrew GelmanAki VehtariAnna S. LokBrian J. McMahon
- Topics
- Hepatitis C virus research (44 papers)Hepatitis B Virus Studies (40 papers)Liver Disease Diagnosis and Treatment (27 papers)
- Journals
- The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesVietnamUnited Kingdom
In The Last Decade
Jessica Hwang
82 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Epidemiology 5.4k
- Hepatology 4.8k
- Oncology 587
- Infectious Diseases 526
- Molecular Biology 367
Countries citing papers authored by Jessica Hwang
This map shows the geographic impact of Jessica Hwang'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 Jessica Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Hwang more than expected).
Fields of papers citing papers by Jessica Hwang
This network shows the impact of papers produced by Jessica Hwang. 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 Jessica Hwang. The network helps show where Jessica Hwang may publish in the future.
Co-authorship network of co-authors of Jessica Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Hwang. A scholar is included among the top collaborators of Jessica Hwang 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 Jessica Hwang. Jessica Hwang 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidancebreakdown → | 2650 |
| 9 | 50 | |
| 10 | 9 | |
| 11 | AASLD guidelines for treatment of chronic hepatitis Bbreakdown → | 1448 |
| 12 | 61 | |
| 13 | 28 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 48 | |
| 20 | 16 |
About Jessica Hwang
Jessica Hwang is a scholar working on Hepatology, Epidemiology and Radiological and Ultrasound Technology, having authored 87 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (44 papers), Hepatitis B Virus Studies (40 papers) and Liver Disease Diagnosis and Treatment (27 papers). The work is most often cited by research in Hepatology (4.8k citations), Epidemiology (5.4k citations) and Statistics and Probability (267 citations). Jessica Hwang has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Norah A. Terrault, Natalie Bzowej, Kyong‐Mi Chang, Maureen M. Jonas, Andrew Gelman, Aki Vehtari, Anna S. Lok, Brian J. McMahon, John B. Wong and Robert S. Brown. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.