Te‐Jung Lu
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
-
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Ion Transport and Channel Regulation 2
- Ion channel regulation and function 2
- Protein Tyrosine Phosphatases 2
-
- Hippo pathway signaling and YAP/TAZ 5
- Microtubule and mitosis dynamics 2
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Te‐Ling Lu (15 shared papers)Ming-Derg Lai (5 shared papers)Chiun-Jye Yuan (3 shared papers)Pin Ling (4 shared papers)Guan-Jhong Huang (2 shared papers)Tzeng‐Horng Leu (3 shared papers)Chi‐Ying F. Huang (4 shared papers)Tung‐I Tsai (2 shared papers)
- Journals
- Journal of Inorganic Biochemistry (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Biological Chemistry (2 papers)Expert Systems with Applications (2 papers)Cellular Signalling (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Te‐Jung Lu
20 papers receiving 584 citations
Peers
Comparison fields: 5 of 106
- Cell Biology 192
- Molecular Biology 280
- Pharmacology 63
- Geriatrics and Gerontology 9
- Aging 5
Countries citing papers authored by Te‐Jung Lu
This map shows the geographic impact of Te‐Jung 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 Te‐Jung Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Jung Lu more than expected).
Fields of papers citing papers by Te‐Jung Lu
This network shows the impact of papers produced by Te‐Jung 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 Te‐Jung Lu. The network helps show where Te‐Jung Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Jung 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 109 | |
| 2 | 2002 | 77 | |
| 3 | 2006 | 70 | |
| 4 | 2009 | 62 | |
| 5 | 2010 | 43 | |
| 6 | 2010 | 32 | |
| 7 | 2014 | 26 | |
| 8 | 2006 | 23 | |
| 9 | 2014 | 21 | |
| 10 | 2010 | 19 | |
| 11 | 2005 | 19 | |
| 12 | 2006 | 17 | |
| 13 | 2015 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 8 | |
| 17 | 2010 | 8 | |
| 18 | 2018 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2019 | 5 |
About Te‐Jung Lu
Te‐Jung Lu is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Plant Science and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 590 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Ion Transport and Channel Regulation (2 papers), Microtubule and mitosis dynamics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ion channel regulation and function (2 papers), Protein Tyrosine Phosphatases (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cell Biology (192 citations), Molecular Biology (280 citations), Pharmacology (63 citations), Geriatrics and Gerontology (9 citations) and Aging (5 citations). Te‐Jung Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Te‐Ling Lu, Ming-Derg Lai, Chiun-Jye Yuan, Pin Ling, Guan-Jhong Huang, Tzeng‐Horng Leu, Chi‐Ying F. Huang, Tung‐I Tsai, Bo‐Ying Bao and Sheng‐Nan Wu. Their work appears in journals such as Journal of Inorganic Biochemistry, International Journal of Molecular Sciences, Journal of Biological Chemistry, Expert Systems with Applications and Cellular Signalling.
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.