Peihong Su

1.4k total citations
28 papers, 991 citations indexed

About

Peihong Su is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Peihong Su has authored 28 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cell Biology and 7 papers in Cancer Research. Recurrent topics in Peihong Su's work include Bone Metabolism and Diseases (10 papers), Cellular Mechanics and Interactions (8 papers) and Spaceflight effects on biology (4 papers). Peihong Su is often cited by papers focused on Bone Metabolism and Diseases (10 papers), Cellular Mechanics and Interactions (8 papers) and Spaceflight effects on biology (4 papers). Peihong Su collaborates with scholars based in China, Hong Kong and Australia. Peihong Su's co-authors include Airong Qian, Ye Tian, Chaofei Yang, Xiaoli Ma, Chong Yin, Fan Zhao, Jiawei Pei, Zhihao Chen, Yu Li and Lifang Hu and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Molecular Sciences and Developmental Cell.

In The Last Decade

Peihong Su

26 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peihong Su China	17	609	298	136	133	106	28	991
Weimin Qiu China	17	799 1.3×	374 1.3×	84 0.6×	144 1.1×	94 0.9×	34	1.2k
Jixing Ye China	10	765 1.3×	201 0.7×	149 1.1×	168 1.3×	137 1.3×	17	1.4k
Kai Cheng China	18	364 0.6×	223 0.7×	140 1.0×	101 0.8×	73 0.7×	40	940
Hangang Chen China	13	896 1.5×	276 0.9×	78 0.6×	137 1.0×	107 1.0×	19	1.4k
Susana Aguilar Spain	10	882 1.4×	166 0.6×	101 0.7×	171 1.3×	116 1.1×	19	1.5k
Hayk Hovhannisyan United States	10	1.2k 1.9×	207 0.7×	120 0.9×	289 2.2×	100 0.9×	23	1.6k
Weijia Sun China	12	560 0.9×	275 0.9×	48 0.4×	138 1.0×	122 1.2×	22	937
Youlin Deng China	7	551 0.9×	123 0.4×	112 0.8×	90 0.7×	66 0.6×	12	940
Massimiliano Monticone Italy	17	476 0.8×	161 0.5×	56 0.4×	156 1.2×	73 0.7×	34	1.0k
Federica Servida Italy	12	712 1.2×	217 0.7×	74 0.5×	209 1.6×	63 0.6×	17	1.3k

Countries citing papers authored by Peihong Su

Since Specialization

Citations

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

Fields of papers citing papers by Peihong Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihong Su

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

All Works

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20 of 20 papers shown

Guan, Hua, et al.. (2025). IGFBP5 Promotes Atherosclerosis in APOE−/− Mice Through Phenotypic Transformation of VSMCs. Current Issues in Molecular Biology. 47(7). 555–555.

Chen, Xiaochang, et al.. (2025). Physiochemotherapy alginate-based hydrogel inhibiting lipogenesis through antioxidant and ant-inflammatory effects for obesity treatment. International Journal of Biological Macromolecules. 304(Pt 1). 140776–140776.

Patil, Suryaji, Ye Tian, Siyu Chen, et al.. (2024). SDSSD peptide modified polyvinylamine − A novel bone-targeting RNA delivery system. Chemical Engineering Journal. 498. 155188–155188. 1 indexed citations

Liu, Yantong, et al.. (2024). The role of autophagy/lipophagy in the response of osteoblastic cells to hyperlipidemia (Review). Experimental and Therapeutic Medicine. 28(2). 328–328. 1 indexed citations

Jiang, Shanfeng, Peihong Su, Chong Yin, et al.. (2024). Angelicae dahuricae radix alleviates simulated microgravity induced bone loss by promoting osteoblast differentiation. npj Microgravity. 10(1). 91–91. 1 indexed citations

Liu, Han, Peihong Su, Yuanyuan Li, et al.. (2024). VAMP2 controls murine epidermal differentiation and carcinogenesis by regulation of nucleophagy. Developmental Cell. 59(15). 2005–2016.e4. 4 indexed citations

Su, Peihong, Ye Tian, Chong Yin, et al.. (2021). MACF1 promotes osteoblastic cell migration by regulating MAP1B through the GSK3beta/TCF7 pathway. Bone. 154. 116238–116238. 7 indexed citations

Yin, Chong, Ye Tian, Yang Yu, et al.. (2020). Long noncoding RNA AK039312 and AK079370 inhibits bone formation via miR-199b-5p. Pharmacological Research. 163. 105230–105230. 18 indexed citations

Yang, Chaofei, Ye Tian, Fan Zhao, et al.. (2020). Bone Microenvironment and Osteosarcoma Metastasis. International Journal of Molecular Sciences. 21(19). 6985–6985. 213 indexed citations

10.

Chen, Zhihao, Fan Zhao, Chao Liang, et al.. (2020). Silencing of miR-138-5p sensitizes bone anabolic action to mechanical stimuli. Theranostics. 10(26). 12263–12278. 37 indexed citations

11.

Yin, Chong, Ye Tian, Yang Yu, et al.. (2020). miR-129-5p Inhibits Bone Formation Through TCF4. Frontiers in Cell and Developmental Biology. 8. 600641–600641. 26 indexed citations

12.

Zhao, Fan, Xiaoli Ma, Pai Wang, et al.. (2020). Mesenchymal MACF1 Facilitates SMAD7 Nuclear Translocation to Drive Bone Formation. Cells. 9(3). 616–616. 24 indexed citations

13.

Li, Dijie, Ye Tian, Chong Yin, et al.. (2019). Silencing of lncRNA AK045490 Promotes Osteoblast Differentiation and Bone Formation via β-Catenin/TCF1/Runx2 Signaling Axis. International Journal of Molecular Sciences. 20(24). 6229–6229. 48 indexed citations

14.

Zhang, Yan, Chong Yin, Lifang Hu, et al.. (2018). MACF1 Overexpression by Transfecting the 21 kbp Large Plasmid PEGFP-C1A-ACF7 Promotes Osteoblast Differentiation and Bone Formation. Human Gene Therapy. 29(2). 259–270. 22 indexed citations

15.

Han, Ying, et al.. (2018). MiR-21-5p, miR-34a, and human telomerase RNA component as surrogate markers for cervical cancer progression. Pathology - Research and Practice. 214(3). 374–379. 31 indexed citations

16.

Hu, Lifang, Yunyun Xiao, Fan Zhao, et al.. (2017). MACF1, versatility in tissue-specific function and in human disease. Seminars in Cell and Developmental Biology. 69. 3–8. 30 indexed citations

17.

Yin, Chong, Yan Zhang, Lifang Hu, et al.. (2017). Mechanical unloading reduces microtubule actin crosslinking factor 1 expression to inhibit β‐catenin signaling and osteoblast proliferation. Journal of Cellular Physiology. 233(7). 5405–5419. 42 indexed citations

18.

Hu, Lifang, Peihong Su, Runzhi Li, et al.. (2016). Isoforms, structures, and functions of versatile spectraplakin MACF1. BMB Reports. 49(1). 37–44. 38 indexed citations

19.

Hu, Lifang, Peihong Su, Runzhi Li, et al.. (2015). Knockdown of microtubule actin crosslinking factor 1 inhibits cell proliferation in MC3T3-E1 osteoblastic cells. BMB Reports. 48(10). 583–588. 36 indexed citations

20.

Hu, Lifang, Runzhi Li, Peihong Su, et al.. (2014). Response and adaptation of bone cells to simulated microgravity. Acta Astronautica. 104(1). 396–408. 17 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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