Junna Dai
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis Viruses Studies and Epidemiology
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Hepatology 13
- Liver Disease and Transplantation 13
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Hepatitis C virus research 1
-
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Xiaozhong Guo (13 shared papers)Xingshun Qi (13 shared papers)Hongyu Li (8 shared papers)Ying Peng (8 shared papers)Daiming Fan (2 shared papers)Valerio De Stefano (1 shared paper)Man Yang (3 shared papers)Jia Jia (3 shared papers)
- Journals
- Journal of Evidence-Based Medicine (1 paper)European Journal of Internal Medicine (1 paper)Gastroenterology Research and Practice (2 papers)Saudi Journal of Gastroenterology (1 paper)Medical Science Monitor (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junna Dai
13 papers receiving 513 citations
Peers
Comparison fields: 5 of 42
- Hepatology 423
- Internal Medicine 29
- Epidemiology 207
- Gastroenterology 14
- Surgery 93
Countries citing papers authored by Junna Dai
This map shows the geographic impact of Junna Dai'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 Junna Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junna Dai more than expected).
Fields of papers citing papers by Junna Dai
This network shows the impact of papers produced by Junna Dai. 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 Junna Dai. The network helps show where Junna Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junna Dai, 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 | 2015 | 105 | |
| 2 | Child-Pugh versus MELD score for predicting the in-hospital mortality of acute upper gastrointestinal bleeding in liver cirrhosis. | 2015 | 65 |
| 3 | 2015 | 53 | |
| 4 | 2016 | 51 | |
| 5 | 2016 | 41 | |
| 6 | 2015 | 36 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 29 | |
| 9 | 2015 | 29 | |
| 10 | Correlation of serum liver fibrosis markers with severity of liver dysfunction in liver cirrhosis: a retrospective cross-sectional study. | 2015 | 24 |
| 11 | Association between D-dimer level and portal venous system thrombosis in liver cirrhosis: a retrospective observational study. | 2015 | 23 |
| 12 | 2015 | 22 | |
| 13 | 2016 | 12 |
About Junna Dai
Junna Dai is a scholar working on Hepatology, Epidemiology, Surgery, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 526 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Hepatitis C virus research (1 paper). The work is most often cited by research in Hepatology (423 citations), Internal Medicine (29 citations), Epidemiology (207 citations), Gastroenterology (14 citations) and Surgery (93 citations). Junna Dai has collaborated with scholars based in China and United States. Frequent co-authors include Xiaozhong Guo, Xingshun Qi, Hongyu Li, Ying Peng, Daiming Fan, Valerio De Stefano, Man Yang, Jia Jia, Weirong Ren and Han Deng. Their work appears in journals such as Journal of Evidence-Based Medicine, European Journal of Internal Medicine, Gastroenterology Research and Practice, Saudi Journal of Gastroenterology and Medical Science Monitor.
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.