I‐Neng Lee
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- RNA modifications and cancer 2
-
- Traumatic Brain Injury and Neurovascular Disturbances 4
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Co-authors
- Jen‐Tsung Yang (16 shared papers)Fung‐Jou Lu (5 shared papers)Jin‐Chuan Sheu (3 shared papers)Mei–Hsuan Lee (3 shared papers)Guan‐Tarn Huang (3 shared papers)Chiu‐Yen Chung (8 shared papers)Lu‐Ping Chow (2 shared papers)Chien‐Hung Chen (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Molecular Carcinogenesis (2 papers)Scientific Reports (2 papers)Journal of Proteome Research (2 papers)Acta Neurochirurgica (1 paper)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
I‐Neng Lee
27 papers receiving 660 citations
Peers
Comparison fields: 5 of 102
- Spectroscopy 123
- Cancer Research 101
- Molecular Biology 334
- Neurology 62
- Immunology 72
Countries citing papers authored by I‐Neng Lee
This map shows the geographic impact of I‐Neng Lee'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 I‐Neng Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Neng Lee more than expected).
Fields of papers citing papers by I‐Neng Lee
This network shows the impact of papers produced by I‐Neng Lee. 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 I‐Neng Lee. The network helps show where I‐Neng Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Neng Lee, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 105 | |
| 2 | 2006 | 97 | |
| 3 | 2009 | 83 | |
| 4 | 2011 | 49 | |
| 5 | 2011 | 44 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 17 | |
| 10 | 2001 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2003 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2012 | 11 |
About I‐Neng Lee
I‐Neng Lee is a scholar working on Molecular Biology, Neurology, Epidemiology, Cancer Research and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 667 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Nerve injury and regeneration (3 papers), Acute Ischemic Stroke Management (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Nanoplatforms for cancer theranostics (2 papers), Tannin, Tannase and Anticancer Activities (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Spectroscopy (123 citations), Cancer Research (101 citations), Molecular Biology (334 citations), Neurology (62 citations) and Immunology (72 citations). I‐Neng Lee has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Jen‐Tsung Yang, Fung‐Jou Lu, Jin‐Chuan Sheu, Mei–Hsuan Lee, Guan‐Tarn Huang, Chiu‐Yen Chung, Lu‐Ping Chow, Chien‐Hung Chen, Ming‐Hsueh Lee and Hsu‐Huei Weng. Their work appears in journals such as International Journal of Molecular Sciences, Molecular Carcinogenesis, Scientific Reports, Journal of Proteome Research and Acta Neurochirurgica.
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.