John Ha
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Hepatitis C virus research
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Hepatitis C virus research 4
- Liver Disease and Transplantation 2
-
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Robert J. Wong (7 shared papers)Taft Bhuket (5 shared papers)Benny Liu (5 shared papers)Kyle Trudeau (1 shared paper)Sayon Roy (1 shared paper)María Aguilar (4 shared papers)Michele Tana (2 shared papers)Robert G. Gish (2 shared papers)
- Journals
- Journal of Clinical Gastroenterology (3 papers)Biomarker Research (1 paper)Cancer (1 paper)Journal of Hepatology (1 paper)Current Eye Research (1 paper)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
John Ha
12 papers receiving 361 citations
Peers
Comparison fields: 5 of 69
- Hepatology 175
- Ophthalmology 55
- Epidemiology 163
- Cancer Research 32
- Radiology, Nuclear Medicine and Imaging 49
Countries citing papers authored by John Ha
This map shows the geographic impact of John Ha'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 John Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ha more than expected).
Fields of papers citing papers by John Ha
This network shows the impact of papers produced by John Ha. 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 John Ha. The network helps show where John Ha may publish in the future.
Co-authors
The 19 scholars most cited alongside John Ha, 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 | 2010 | 105 | |
| 2 | 2016 | 83 | |
| 3 | 2015 | 62 | |
| 4 | 2017 | 60 | |
| 5 | 2017 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2016 | 5 | |
| 8 | Retrospective in vitro toxicity testing of plasma from equine dysautonomia (grass sickness) cases previously used in in vivo studies | 1997 | 2 |
| 9 | 2022 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 1 |
About John Ha
John Ha is a scholar working on Hepatology, Epidemiology, Surgery, Oncology and Dermatology, having authored 12 papers that have together received 362 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (4 papers), Liver Disease and Transplantation (2 papers), Colorectal Cancer Surgical Treatments (1 paper), Glaucoma and retinal disorders (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Hepatology (175 citations), Ophthalmology (55 citations), Epidemiology (163 citations), Cancer Research (32 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). John Ha has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Robert J. Wong, Taft Bhuket, Benny Liu, Kyle Trudeau, Sayon Roy, María Aguilar, Michele Tana, Robert G. Gish, Jennifer Wang and Catherine Frenette. Their work appears in journals such as Journal of Clinical Gastroenterology, Biomarker Research, Cancer, Journal of Hepatology and Current Eye Research.
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.