Lingling Han
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Hepatology 14
- Hepatitis C virus research 14
- Co-authors
- Diana M. Brainard (10 shared papers)John McNally (6 shared papers)Haozhong Wang (2 shared papers)Ying Chen (4 shared papers)John G. McHutchison (6 shared papers)Brian Doehle (4 shared papers)Guoliang Liu (3 shared papers)Dan Zhang (2 shared papers)
- Journals
- Journal of Hepatology (4 papers)Annals of Internal Medicine (3 papers)Liver International (2 papers)Clinical Infectious Diseases (2 papers)Journal of Trace Elements in Medicine and Biology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lingling Han
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Hepatology 393
- Endocrine and Autonomic Systems 80
- Epidemiology 265
- Infectious Diseases 81
- Cancer Research 61
Countries citing papers authored by Lingling Han
This map shows the geographic impact of Lingling Han'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 Lingling Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Han more than expected).
Fields of papers citing papers by Lingling Han
This network shows the impact of papers produced by Lingling Han. 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 Lingling Han. The network helps show where Lingling Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2015 | 82 | |
| 3 | 2016 | 71 | |
| 4 | 2015 | 66 | |
| 5 | 2022 | 45 | |
| 6 | 2010 | 44 | |
| 7 | 2015 | 38 | |
| 8 | 2017 | 36 | |
| 9 | 2010 | 34 | |
| 10 | 2017 | 32 | |
| 11 | 2000 | 30 | |
| 12 | 2017 | 26 | |
| 13 | 2022 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2014 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 22 | |
| 18 | 2013 | 20 | |
| 19 | 2009 | 20 | |
| 20 | 2005 | 19 |
About Lingling Han
Lingling Han is a scholar working on Molecular Biology, Hepatology, Physiology, Surgery and Epidemiology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Hepatitis B Virus Studies (5 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), HIV/AIDS drug development and treatment (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Hepatology (393 citations), Endocrine and Autonomic Systems (80 citations), Epidemiology (265 citations), Infectious Diseases (81 citations) and Cancer Research (61 citations). Lingling Han has collaborated with scholars based in China, United States and France. Frequent co-authors include Diana M. Brainard, John McNally, Haozhong Wang, Ying Chen, John G. McHutchison, Brian Doehle, Guoliang Liu, Dan Zhang, Polina German and Zongyi Sun. Their work appears in journals such as Journal of Hepatology, Annals of Internal Medicine, Liver International, Clinical Infectious Diseases and Journal of Trace Elements in Medicine and Biology.
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.