Te‐Ling Lu
Impact in
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Prostate Cancer Treatment and Research 35
- Prostate Cancer Diagnosis and Treatment 4
- Renal cell carcinoma treatment 4
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- Ion channel regulation and function 6
- Protein Kinase Regulation and GTPase Signaling 4
- Co-authors
- Bo‐Ying Bao (49 shared papers)Jian‐Lian Chen (8 shared papers)Shu‐Pin Huang (37 shared papers)Te‐Jung Lu (15 shared papers)Ta-Yuan Chang (19 shared papers)Chao‐Yuan Huang (30 shared papers)Victor Chia-Hsiang Lin (28 shared papers)Hong‐Zin Lee (11 shared papers)
In The Last Decade
Te‐Ling Lu
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Pulmonary and Respiratory Medicine 340
- Cancer Research 117
- Endocrine and Autonomic Systems 32
- Pharmacology 74
- Molecular Biology 304
Countries citing papers authored by Te‐Ling Lu
This map shows the geographic impact of Te‐Ling 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‐Ling 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‐Ling Lu more than expected).
Fields of papers citing papers by Te‐Ling Lu
This network shows the impact of papers produced by Te‐Ling 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‐Ling Lu. The network helps show where Te‐Ling Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Ling 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 71 | |
| 2 | 2009 | 71 | |
| 3 | 2010 | 68 | |
| 4 | 2009 | 66 | |
| 5 | 2010 | 65 | |
| 6 | 2011 | 46 | |
| 7 | 2010 | 44 | |
| 8 | 2014 | 39 | |
| 9 | 2011 | 38 | |
| 10 | 2019 | 36 | |
| 11 | 2010 | 33 | |
| 12 | 2008 | 32 | |
| 13 | 2015 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2010 | 28 | |
| 16 | 2016 | 27 | |
| 17 | 2019 | 27 | |
| 18 | 2010 | 24 | |
| 19 | 2011 | 23 | |
| 20 | 2006 | 21 |
About Te‐Ling Lu
Te‐Ling Lu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Analytical Chemistry, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (35 papers), Ion channel regulation and function (6 papers), Analytical chemistry methods development (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (340 citations), Cancer Research (117 citations), Endocrine and Autonomic Systems (32 citations), Pharmacology (74 citations) and Molecular Biology (304 citations). Te‐Ling Lu has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Bo‐Ying Bao, Jian‐Lian Chen, Shu‐Pin Huang, Te‐Jung Lu, Ta-Yuan Chang, Chao‐Yuan Huang, Victor Chia-Hsiang Lin, Hong‐Zin Lee, Chia‐Cheng Yu and Guan‐Jhong Huang. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Genomics & Proteomics, International Journal of Medical Sciences, Microchimica Acta and Cancer Medicine.
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.