Hsiang‐Chih Lu
Impact in
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- Glioma Diagnosis and Treatment
- Neurogenetic and Muscular Disorders Research
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- Amyotrophic Lateral Sclerosis Research
Papers in
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- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
- Genetics 6
- Glioma Diagnosis and Treatment 5
- Co-authors
- Huda Y. Zoghbi (3 shared papers)Ji‐Joon Song (1 shared paper)Eunji Kim (1 shared paper)Qiumin Tan (2 shared papers)Zhandong Liu (2 shared papers)Iván González (4 shared papers)Yan Gao (1 shared paper)Antonia De Maio (1 shared paper)
- Journals
- eLife (3 papers)Journal of Neuropathology & Experimental Neurology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Human Molecular Genetics (1 paper)Histopathology (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Hsiang‐Chih Lu
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 55
- Genetics 73
- Neurology 76
- Oncology 60
- Molecular Biology 142
- Cellular and Molecular Neuroscience 33
Countries citing papers authored by Hsiang‐Chih Lu
This map shows the geographic impact of Hsiang‐Chih 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 Hsiang‐Chih Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang‐Chih Lu more than expected).
Fields of papers citing papers by Hsiang‐Chih Lu
This network shows the impact of papers produced by Hsiang‐Chih 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 Hsiang‐Chih Lu. The network helps show where Hsiang‐Chih Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiang‐Chih 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2013 | 40 | |
| 3 | 2021 | 38 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Hsiang‐Chih Lu
Hsiang‐Chih Lu is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Epidemiology, having authored 23 papers that have together received 290 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Neuroblastoma Research and Treatments (3 papers), Vestibular and auditory disorders (3 papers), Meningioma and schwannoma management (3 papers), RNA Research and Splicing (2 papers), Cancer Genomics and Diagnostics (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (73 citations), Neurology (76 citations), Oncology (60 citations), Molecular Biology (142 citations) and Cellular and Molecular Neuroscience (33 citations). Hsiang‐Chih Lu has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Huda Y. Zoghbi, Ji‐Joon Song, Eunji Kim, Qiumin Tan, Zhandong Liu, Iván González, Yan Gao, Antonia De Maio, Ying-Wooi Wan and Vitaliy V. Bondar. Their work appears in journals such as eLife, Journal of Neuropathology & Experimental Neurology, International Journal of Radiation Oncology*Biology*Physics, Human Molecular Genetics and Histopathology.
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.