Hao Lv
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- vaccines and immunoinformatics approaches
- Epigenetics and DNA Methylation
- Microbiology top 5%
Papers in
-
- Machine Learning in Bioinformatics 31
- Genomics and Phylogenetic Studies 20
- RNA and protein synthesis mechanisms 16
- vaccines and immunoinformatics approaches 6
- Identification and Quantification in Food 4
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 4
-
- Antimicrobial Peptides and Activities 4
- Co-authors
- Hao LinFanny DaoWei ChenHui DingHui YangHasan ZulfiqarWei SuJiu-Xin Tan
- Journals
- Briefings in Bioinformatics (12 papers)BMC Biology (4 papers)Bioinformatics (3 papers)International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaSingaporeSwitzerland
In The Last Decade
Hao Lv
59 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.0k
- Microbiology 128
- Cancer Research 275
- Computational Theory and Mathematics 198
- Health Informatics 8
Countries citing papers authored by Hao Lv
This map shows the geographic impact of Hao Lv'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 Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Lv more than expected).
Fields of papers citing papers by Hao Lv
This network shows the impact of papers produced by Hao Lv. 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 Lv. The network helps show where Hao Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Lv, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 18 | |
| 12 | 2022 | 27 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 68 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 47 | |
| 17 | 2020 | 99 | |
| 18 | 2020 | 39 | |
| 19 | 2019 | 61 | |
| 20 | 2018 | 139 |
About Hao Lv
Hao Lv is a scholar working on Molecular Biology, Microbiology, Biological Psychiatry, Signal Processing and Infectious Diseases, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (31 papers), Genomics and Phylogenetic Studies (20 papers), RNA and protein synthesis mechanisms (16 papers), vaccines and immunoinformatics approaches (6 papers), Antimicrobial Peptides and Activities (4 papers), Identification and Quantification in Food (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Microbiology (128 citations), Cancer Research (275 citations), Computational Theory and Mathematics (198 citations) and Health Informatics (8 citations). Hao Lv has collaborated with scholars based in China, Singapore and Switzerland. Frequent co-authors include Hao Lin, Fanny Dao, Wei Chen, Hui Ding, Hui Yang, Hasan Zulfiqar, Wei Su, Jiu-Xin Tan, Fulei Nie and Zimei Zhang. Their work appears in journals such as Briefings in Bioinformatics, BMC Biology, Bioinformatics, International Journal of Molecular Sciences and Scientific Reports.
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.