Liecong Lin

407 total citations
9 papers, 325 citations indexed

About

Liecong Lin is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Liecong Lin has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in Liecong Lin's work include Mesenchymal stem cell research (3 papers), Circular RNAs in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Liecong Lin is often cited by papers focused on Mesenchymal stem cell research (3 papers), Circular RNAs in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Liecong Lin collaborates with scholars based in China, Canada and Japan. Liecong Lin's co-authors include Yingfang Ao, Chunyan Zhou, Min Yang, Chunxiao Yu, Xuelei Wei, Xiuping Fu, Simon D. Tran, Dongdong Fang, Mohamed‐Nur Abdallah and Xiaodong Wei and has published in prestigious journals such as Osteoarthritis and Cartilage, Calcified Tissue International and International Endodontic Journal.

In The Last Decade

Liecong Lin

7 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liecong Lin China	5	148	115	78	72	53	9	325
Francesca Paolella Italy	10	109 0.7×	192 1.7×	125 1.6×	67 0.9×	42 0.8×	18	426
Shanxing Zhang China	12	174 1.2×	181 1.6×	64 0.8×	119 1.7×	59 1.1×	22	465
Hisashi Mera Japan	13	101 0.7×	239 2.1×	119 1.5×	154 2.1×	40 0.8×	27	437
Masakazu Toya United States	10	144 1.0×	66 0.6×	70 0.9×	54 0.8×	59 1.1×	21	333
Guus van den Akker Netherlands	14	222 1.5×	179 1.6×	30 0.4×	63 0.9×	84 1.6×	36	453
Fangyuan Wei China	9	103 0.7×	124 1.1×	48 0.6×	63 0.9×	25 0.5×	21	358
Shuiliang Shi United States	10	117 0.8×	216 1.9×	34 0.4×	86 1.2×	23 0.4×	18	347
Takahiro Miyaji Japan	8	196 1.3×	153 1.3×	23 0.3×	60 0.8×	32 0.6×	8	329
CH Evans United States	7	162 1.1×	149 1.3×	78 1.0×	188 2.6×	19 0.4×	8	444
Edward Bastow Australia	9	111 0.8×	95 0.8×	19 0.2×	48 0.7×	25 0.5×	13	355

Countries citing papers authored by Liecong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Liecong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liecong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Liecong Lin. A scholar is included among the top collaborators of Liecong 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 Liecong Lin. Liecong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Lin, Liecong, Huixian Dong, F. C. Lai, et al.. (2025). circ_0002456/FUS interaction inhibits NF-κB signaling to attenuate DNA damage and inflammatory responses in hDPSCs. Stem Cell Research & Therapy. 16(1). 276–276.

2.

Lin, Liecong, Huixian Dong, F. C. Lai, et al.. (2025). Correction: circ_0002456/FUS interaction inhibits NF-κB signaling to attenuate DNA damage and inflammatory responses in hDPSCs. Stem Cell Research & Therapy. 16(1). 558–558. 1 indexed citations

3.

Wang, Bingtao, Yuanyuan Kong, Huixian Dong, et al.. (2025). Exosomal circ_0003057 promotes osteo/odontogenic differentiation of hDPSCs by binding with EIF4A3 through upregulated parental gene ANKH. International Endodontic Journal. 58(9). 1433–1455.

4.

Huang, Zijing, et al.. (2023). Loss of signal transducer and activator of transcription 3 in osteoblasts impaired the bone healing in inflammatory microenvironment. Molecular Oral Microbiology. 39(3). 136–151. 1 indexed citations

5.

Liu, Younan, Dongdong Fang, Liecong Lin, et al.. (2017). A Simplified and Systematic Method to Isolate, Culture, and Characterize Multiple Types of Human Dental Stem Cells from a Single Tooth. Methods in molecular biology. 1553. 191–207. 27 indexed citations

6.

Fang, Dongdong, Michael Roskies, Mohamed‐Nur Abdallah, et al.. (2017). Three-Dimensional Printed Scaffolds with Multipotent Mesenchymal Stromal Cells for Rabbit Mandibular Reconstruction and Engineering. Methods in molecular biology. 1553. 273–291. 14 indexed citations

7.

Xue, Tao, Liecong Lin, Yu Hou, et al.. (2009). Non-virus-mediated transfer of siRNAs against Runx2 and Smad4 inhibit heterotopic ossification in rats. Gene Therapy. 17(3). 370–379. 15 indexed citations

8.

Lin, Liecong, et al.. (2007). Suppression of early experimental osteoarthritis by in vivo delivery of the adenoviral vector-mediated NF-κBp65-specific siRNA. Osteoarthritis and Cartilage. 16(2). 174–184. 114 indexed citations

9.

Yang, Min, et al.. (2006). Runx2 Overexpression Enhances Osteoblastic Differentiation and Mineralization in Adipose - Derived Stem Cells in vitro and in vivo. Calcified Tissue International. 79(3). 169–178. 153 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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