Mengji Lu
Impact in
- Hepatology top 0.1%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 0.2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 206
- Hepatitis B Virus Studies 184
- Liver Disease Diagnosis and Treatment 44
- Hepatology 127
- Hepatitis C virus research 113
- Hepatitis Viruses Studies and Epidemiology 26
- Co-authors
- Dongliang Yang (102 shared papers)Michael Roggendorf (73 shared papers)Jia Liu (34 shared papers)Zhongji Meng (23 shared papers)Ejuan Zhang (32 shared papers)Ruth Broering (38 shared papers)Ulf Dittmer (45 shared papers)JF Schlaak (26 shared papers)
- Journals
- Journal of Virology (19 papers)Frontiers in Immunology (16 papers)Antiviral Research (12 papers)PLoS ONE (11 papers)Hepatology (10 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Mengji Lu
313 papers receiving 9.7k citations
Mengji Lu's Hit Papers
Peers
Comparison fields: 5 of 146
- Hepatology 3.1k
- Epidemiology 4.9k
- Infectious Diseases 2.4k
- Immunology 2.3k
- Virology 237
Countries citing papers authored by Mengji Lu
This map shows the geographic impact of Mengji Lu'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 Mengji Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengji Lu more than expected).
Fields of papers citing papers by Mengji Lu
This network shows the impact of papers produced by Mengji Lu. 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 Mengji Lu. The network helps show where Mengji Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengji Lu, 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 320 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Liver injury during highly pathogenic human coronavirus infections Hit paper breakdown → | 2020 | 616 |
| 2 | 2020 | 415 | |
| 3 | 2008 | 280 | |
| 4 | 2007 | 234 | |
| 5 | 2014 | 210 | |
| 6 | 2020 | 191 | |
| 7 | 2009 | 181 | |
| 8 | 2011 | 170 | |
| 9 | 2017 | 165 | |
| 10 | 2010 | 158 | |
| 11 | 2019 | 129 | |
| 12 | 2021 | 123 | |
| 13 | 2012 | 106 | |
| 14 | 2020 | 98 | |
| 15 | 2020 | 94 | |
| 16 | 1994 | 92 | |
| 17 | 2014 | 85 | |
| 18 | 2008 | 84 | |
| 19 | 2013 | 83 | |
| 20 | 2010 | 82 |
About Mengji Lu
Mengji Lu is a scholar working on Epidemiology, Hepatology, Immunology, Infectious Diseases and Molecular Biology, having authored 320 papers that have together received 9.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (184 papers), Hepatitis C virus research (113 papers), Liver Disease Diagnosis and Treatment (44 papers), Immunotherapy and Immune Responses (34 papers), Immune Response and Inflammation (26 papers), Hepatitis Viruses Studies and Epidemiology (26 papers), Immune Cell Function and Interaction (23 papers) and interferon and immune responses (22 papers). The work is most often cited by research in Hepatology (3.1k citations), Epidemiology (4.9k citations), Infectious Diseases (2.4k citations), Immunology (2.3k citations) and Virology (237 citations). Mengji Lu has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Dongliang Yang, Michael Roggendorf, Jia Liu, Zhongji Meng, Ejuan Zhang, Ruth Broering, Ulf Dittmer, JF Schlaak, Xin Zheng and Ling Xu. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Antiviral Research, PLoS ONE 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.