Feng‐Mao Lin

4.5k total citations · 3 hit papers
17 papers, 3.4k citations indexed

About

Feng‐Mao Lin is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Feng‐Mao Lin has authored 17 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Feng‐Mao Lin's work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Feng‐Mao Lin is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Feng‐Mao Lin collaborates with scholars based in Taiwan, United States and Germany. Feng‐Mao Lin's co-authors include Hsien‐Da Huang, Sheng‐Da Hsu, Hailing Jin, Ming Wang, Baoye He, Qiang Cai, Lulu Qiao, Weiyun Wu, Chi‐Ying F. Huang and Chao Liang and has published in prestigious journals such as Science, Nucleic Acids Research and Circulation.

In The Last Decade

Feng‐Mao Lin

16 papers receiving 3.4k citations

Hit Papers

miRTarBase: a database curates experimentally validated m... 2010 2026 2015 2020 2010 2013 2018 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. miRTarBase: a database curates experimentally validated microRNA–target interactions
    2010 1.1k citations Sheng‐Da Hsu, Feng‐Mao Lin et al. Nucleic Acids Research profile →
  2. miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions
    2013 892 citations Sheng‐Da Hsu, Yu‐Ting Tseng et al. Nucleic Acids Research profile →
  3. Plants send small RNAs in extracellular vesicles to fungal pathogen to silence virulence genes
    2018 809 citations Qiang Cai, Lulu Qiao et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng‐Mao Lin Taiwan 12 2.5k 1.8k 519 209 208 17 3.4k
Qi Liao China 24 2.0k 0.8× 1.6k 0.9× 131 0.3× 160 0.8× 110 0.5× 77 2.7k
Zhihua Li China 33 3.0k 1.2× 1.3k 0.7× 260 0.5× 176 0.8× 190 0.9× 123 3.7k
Priyanka Pandey India 18 1.8k 0.7× 1.3k 0.7× 327 0.6× 73 0.3× 157 0.8× 46 2.5k
Zhumur Ghosh India 25 2.1k 0.8× 1.2k 0.7× 209 0.4× 269 1.3× 332 1.6× 63 2.9k
Yong Sun Lee South Korea 29 5.1k 2.0× 3.7k 2.1× 146 0.3× 238 1.1× 312 1.5× 56 6.0k
Ming‐Ta Hsu Taiwan 31 3.3k 1.3× 2.0k 1.1× 175 0.3× 551 2.6× 197 0.9× 63 4.5k
Yoshikuni Nagamine Switzerland 44 3.9k 1.6× 1.5k 0.8× 148 0.3× 190 0.9× 435 2.1× 94 5.4k
Youxin Jin China 31 1.8k 0.7× 952 0.5× 924 1.8× 157 0.8× 297 1.4× 97 3.1k
Dan Sun China 30 2.1k 0.8× 974 0.5× 292 0.6× 217 1.0× 238 1.1× 126 3.1k
Márta Széll Hungary 27 972 0.4× 485 0.3× 264 0.5× 245 1.2× 554 2.7× 125 2.4k

Countries citing papers authored by Feng‐Mao Lin

Since Specialization
Citations

This map shows the geographic impact of Feng‐Mao Lin'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 Feng‐Mao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Mao Lin more than expected).

Fields of papers citing papers by Feng‐Mao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Mao Lin. 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 Feng‐Mao Lin. The network helps show where Feng‐Mao Lin may publish in the future.

Co-authorship network of co-authors of Feng‐Mao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Mao Lin. A scholar is included among the top collaborators of Feng‐Mao Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng‐Mao Lin. Feng‐Mao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kato, Mitsuo, Maryam Abdollahi, Ragadeepthi Tunduguru, et al.. (2021). miR-379 deletion ameliorates features of diabetic kidney disease by enhancing adaptive mitophagy via FIS1. Communications Biology. 4(1). 30–30. 32 indexed citations
2.
Tang, Xiaofang, Yifei Miao, Yingjun Luo, et al.. (2020). Suppression of Endothelial AGO1 Promotes Adipose Tissue Browning and Improves Metabolic Dysfunction. Circulation. 142(4). 365–379. 46 indexed citations
3.
Lin, Feng‐Mao, Susan E. Yost, Wei Wen, et al.. (2019). Differential gene expression and AKT targeting in triple negative breast cancer. Oncotarget. 10(43). 4356–4368. 15 indexed citations
4.
Cai, Qiang, Lulu Qiao, Ming Wang, et al.. (2018). Plants send small RNAs in extracellular vesicles to fungal pathogen to silence virulence genes. Science. 360(6393). 1126–1129. 809 indexed citations breakdown →
5.
Miao, Yifei, Nassim E. Ajami, Tse‐Shun Huang, et al.. (2018). Enhancer-associated long non-coding RNA LEENE regulates endothelial nitric oxide synthase and endothelial function. Nature Communications. 9(1). 292–292. 128 indexed citations
6.
Lin, Feng‐Mao, Shu Chien, & Zhen Chen. (2018). Epigenetic profiling with ultralow DNA amounts. Nature Biomedical Engineering. 2(3). 146–147. 1 indexed citations
7.
Scott, Tristan, et al.. (2018). Long Non-Coding RNA Modulation of VEGF-A during Hypoxia. Non-Coding RNA. 4(4). 34–34. 14 indexed citations
8.
Teng, Yu‐Ching, Cheng-Feng Lee, Ying-Shiuan Li, et al.. (2013). Histone Demethylase RBP2 Promotes Lung Tumorigenesis and Cancer Metastasis. Cancer Research. 73(15). 4711–4721. 119 indexed citations
9.
Hsu, Sheng‐Da, Yu‐Ting Tseng, Sirjana Shrestha, et al.. (2013). miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions. Nucleic Acids Research. 42(D1). D78–D85. 892 indexed citations breakdown →
10.
Chen, Zhen, Tsung‐Ching Lai, Yi‐Hua Jan, et al.. (2013). Hypoxia-responsive miRNAs target argonaute 1 to promote angiogenesis. Journal of Clinical Investigation. 123(3). 1057–1067. 154 indexed citations
11.
Hsu, Justin Bo‐Kai, et al.. (2010). N‐Ace: Using solvent accessibility and physicochemical properties to identify protein N‐acetylation sites. Journal of Computational Chemistry. 31(15). 2759–2771. 53 indexed citations
12.
Hsu, Sheng‐Da, Feng‐Mao Lin, Weiyun Wu, et al.. (2010). miRTarBase: a database curates experimentally validated microRNA–target interactions. Nucleic Acids Research. 39(suppl_1). D163–D169. 1074 indexed citations breakdown →
13.
Dittmann, Meike, Jens von Einem, Benjamin Mason Meier, et al.. (2009). A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes. Antiviral Research. 85(2). 318–327. 64 indexed citations
14.
Wu, Licheng, Jorng‐Tzong Horng, Hsi‐Yuan Huang, et al.. (2006). Primer design for multiplex PCR using a genetic algorithm. Soft Computing. 11(9). 855–863. 7 indexed citations
15.
Lin, Feng‐Mao, et al.. (2005). Primer design for multiplex PCR using a genetic algorithm. 475–476. 1 indexed citations
16.
Lin, Feng‐Mao, et al.. (2003). Performance evaluation of a database of repetitive elements in complete genomes. Journal of Systems and Software. 73(3). 491–506.
17.
Wu, Licheng, Jorng‐Tzong Horng, & Feng‐Mao Lin. (2001). An Approach to Finding Short Tandem Repeats in Complete Genomes.. 238–241. 1 indexed citations

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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