Te‐Ling Lu

1.9k citations
97 papers · 1.5k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

Te‐Ling Lu

88 papers receiving 1.4k citations

Peers

Te‐Ling Lu
Comparison fields: 5 of 126
  • Cancer Research 197
  • Molecular Biology 620
  • Developmental Neuroscience 30
  • Pulmonary and Respiratory Medicine 215
  • Complementary and alternative medicine 51
Replace Jin‐Hua Gu with:
Jin‐Hua Gu China
Zhihui Zhu China
Xuehong Liu China
Liang Zhu China
Xiaodan Zhang China
Lenka Munoz Australia
Domenico D’Arca Italy
Weijiang Zhao China
Jeung‐Whan Han South Korea
Te‐Ling Lu relative to Jin‐Hua Gu China Jin‐Hua Gu's profile →
Citations per field
00.5×1.5×2.3×
Jin‐Hua Gu · 1×
Citations per year

Countries citing papers authored by Te‐Ling Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Te‐Ling Lu Line = papers co-authored together Te‐Ling Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 200671
3 201067
4 200966
5 201064
6 201646
7 201145
8 201043
9 201439
10 201138
11 201935
12 200834
13 201033
14 201533
15 201529
16 201028
17
Saikosaponin a protects TBI rats after controlled cortical impact and the underlying mechanism.
201627
18 201926
19 201426
20 201624

About Te‐Ling Lu

Te‐Ling Lu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Ion channel regulation and function (7 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related gene regulation (5 papers), Natural product bioactivities and synthesis (5 papers), Ion Transport and Channel Regulation (5 papers), Luminescence and Fluorescent Materials (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cancer Research (197 citations), Molecular Biology (620 citations), Developmental Neuroscience (30 citations), Pulmonary and Respiratory Medicine (215 citations) and Complementary and alternative medicine (51 citations). Te‐Ling Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Bo‐Ying Bao, Jian‐Lian Chen, Shu‐Pin Huang, Te‐Jung Lu, Ta-Yuan Chang, Chao‐Yuan Huang, Hong‐Zin Lee, Chia‐Cheng Yu, Chi‐Jeng Hsieh and Yi‐Chen Lin. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Genomics & Proteomics, International Journal of Medical Sciences, Biomedicines 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.

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