Chih‐Hao Lu
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Photosynthetic Processes and Mechanisms
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
-
- Protein Structure and Dynamics 8
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 2
- Co-authors
- Chin‐Sheng Yu (11 shared papers)Jenn‐Kang Hwang (6 shared papers)Yu‐Chi Chen (3 shared papers)Yu‐Feng Lin (9 shared papers)Yu‐Feng Lin (1 shared paper)Jiajun Liu (5 shared papers)S.-L. Catherine Jin (2 shared papers)Da‐Wei Yeh (2 shared papers)
In The Last Decade
Chih‐Hao Lu
31 papers receiving 2.4k citations
Chih‐Hao Lu's Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.4k
- Plant Science 592
- Biotechnology 93
- Microbiology 63
- Parasitology 64
Countries citing papers authored by Chih‐Hao Lu
This map shows the geographic impact of Chih‐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 Chih‐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 Chih‐Hao Lu more than expected).
Fields of papers citing papers by Chih‐Hao Lu
This network shows the impact of papers produced by Chih‐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 Chih‐Hao Lu. The network helps show where Chih‐Hao Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih‐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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of protein subcellular localization Hit paper breakdown → | 2006 | 1405 |
| 2 | 2016 | 216 | |
| 3 | 2012 | 124 | |
| 4 | 2022 | 90 | |
| 5 | 2018 | 78 | |
| 6 | 2018 | 71 | |
| 7 | 2008 | 65 | |
| 8 | 2017 | 61 | |
| 9 | 2017 | 51 | |
| 10 | 2020 | 33 | |
| 11 | 2011 | 33 | |
| 12 | 2007 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2008 | 20 | |
| 15 | 2024 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2006 | 18 | |
| 18 | 2021 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2021 | 12 |
About Chih‐Hao Lu
Chih‐Hao Lu is a scholar working on Molecular Biology, Infectious Diseases, Cancer Research, Immunology and Computational Theory and Mathematics, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (6 papers), Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers), Mosquito-borne diseases and control (4 papers), Genomics and Phylogenetic Studies (2 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Plant Science (592 citations), Biotechnology (93 citations), Microbiology (63 citations) and Parasitology (64 citations). Chih‐Hao Lu has collaborated with scholars based in Taiwan, Russia and China. Frequent co-authors include Chin‐Sheng Yu, Jenn‐Kang Hwang, Yu‐Chi Chen, Yu‐Feng Lin, Yu‐Feng Lin, Jiajun Liu, S.-L. Catherine Jin, Da‐Wei Yeh, Tsung‐Hsien Chuang and Yiling Liu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, International Journal of Molecular Sciences, Scientific Reports, Antiviral Research and Pharmaceuticals.
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.