Hao Lu
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
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- Tuberculosis Research and Epidemiology 6
-
- Inflammasome and immune disorders 3
- Co-authors
- Peter J. Tonge (8 shared papers)Caroline Kisker (3 shared papers)Richard A. Slayden (3 shared papers)Andrew Chang (1 shared paper)J. Schiebel (1 shared paper)Chen Tan (16 shared papers)Wenjia Lu (16 shared papers)Gaoyan Wang (14 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Frontiers in Microbiology (2 papers)Structure (2 papers)Antibiotics (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Lu
39 papers receiving 891 citations
Peers
Comparison fields: 5 of 80
- Molecular Medicine 159
- Microbiology 120
- Infectious Diseases 232
- Organic Chemistry 249
- Computational Theory and Mathematics 106
Countries citing papers authored by Hao Lu
This map shows the geographic impact of Hao 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 Hao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Lu more than expected).
Fields of papers citing papers by Hao Lu
This network shows the impact of papers produced by Hao 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 Hao Lu. The network helps show where Hao Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 208 | |
| 2 | 2009 | 94 | |
| 3 | 2012 | 75 | |
| 4 | 2008 | 53 | |
| 5 | 2007 | 51 | |
| 6 | 2012 | 44 | |
| 7 | 2019 | 32 | |
| 8 | 2022 | 31 | |
| 9 | 2010 | 29 | |
| 10 | 2009 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2012 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2010 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2019 | 9 |
About Hao Lu
Hao Lu is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Public Health, Environmental and Occupational Health and Immunology, having authored 40 papers that have together received 904 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Streptococcal Infections and Treatments (7 papers), Tuberculosis Research and Epidemiology (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Vibrio bacteria research studies (3 papers), Inflammasome and immune disorders (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Molecular Medicine (159 citations), Microbiology (120 citations), Infectious Diseases (232 citations), Organic Chemistry (249 citations) and Computational Theory and Mathematics (106 citations). Hao Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peter J. Tonge, Caroline Kisker, Richard A. Slayden, Andrew Chang, J. Schiebel, Chen Tan, Wenjia Lu, Gaoyan Wang, María-José Ruiz and Guillermina Font. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Microbiology, Structure, Antibiotics and Frontiers in Immunology.
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.