Hongbing He

570 total citations
21 papers, 462 citations indexed

About

Hongbing He is a scholar working on Molecular Biology, Periodontics and Cancer Research. According to data from OpenAlex, Hongbing He has authored 21 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Periodontics and 6 papers in Cancer Research. Recurrent topics in Hongbing He's work include Oral microbiology and periodontitis research (8 papers), MicroRNA in disease regulation (4 papers) and Immune Response and Inflammation (4 papers). Hongbing He is often cited by papers focused on Oral microbiology and periodontitis research (8 papers), MicroRNA in disease regulation (4 papers) and Immune Response and Inflammation (4 papers). Hongbing He collaborates with scholars based in China and United States. Hongbing He's co-authors include Rongkun Liu, Dana T. Graves, Tesfahun Desta, Cataldo Leone, Louis C. Gerstenfeld, Yong‐Wei Fu, Xiaobin Ren, Mani Alikhani, Yu Shi and Xianbo Jia and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Frontiers in Pharmacology.

In The Last Decade

Hongbing He

20 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbing He China 11 207 139 77 62 50 21 462
Yuta Katsumata Japan 8 205 1.0× 98 0.7× 50 0.6× 59 1.0× 39 0.8× 12 376
Yuji Inagaki Japan 18 282 1.4× 265 1.9× 86 1.1× 112 1.8× 74 1.5× 30 674
Yasunori Yoshinaga Japan 13 185 0.9× 184 1.3× 25 0.3× 96 1.5× 41 0.8× 21 406
Yiyang Jiang China 9 159 0.8× 68 0.5× 35 0.5× 65 1.0× 45 0.9× 16 320
Yang Duan China 13 278 1.3× 87 0.6× 93 1.2× 39 0.6× 36 0.7× 37 591
Satoru Shindo Japan 13 145 0.7× 84 0.6× 45 0.6× 91 1.5× 60 1.2× 36 369
Juliete A.F. Silva Brazil 9 82 0.4× 155 1.1× 51 0.7× 70 1.1× 26 0.5× 23 323
Isamu Kodani Japan 12 157 0.8× 60 0.4× 60 0.8× 35 0.6× 147 2.9× 41 469
Lulingxiao Nie China 13 206 1.0× 126 0.9× 40 0.5× 121 2.0× 15 0.3× 19 511
Pengfei Zhao China 12 201 1.0× 121 0.9× 31 0.4× 111 1.8× 12 0.2× 16 490

Countries citing papers authored by Hongbing He

Since Specialization
Citations

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

Fields of papers citing papers by Hongbing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbing He

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

All Works

20 of 20 papers shown
1.
Zhang, Wanli, et al.. (2025). Yunnan Baiyao (YNBY): pharmacological mechanisms, therapeutic applications, and clinical evidence. Frontiers in Pharmacology. 16. 1589035–1589035.
2.
Ma, Sheng, Hongbing He, & Xiaobin Ren. (2024). Single-Cell and Transcriptome Analysis of Periodontitis: Molecular Subtypes and Biomarkers Linked to Mitochondrial Dysfunction and Immunity. Journal of Inflammation Research. Volume 17. 11659–11678. 2 indexed citations
3.
Liu, Wang, Yanjie Li, Yuanyuan An, et al.. (2024). Yunnan Baiyao Might Mitigate Periodontitis Bone Destruction by Inhibiting Autophagy and Promoting Osteoblast Differentiation in vivo, ex vivo and in vitro. Journal of Inflammation Research. Volume 17. 2271–2284. 4 indexed citations
4.
An, Yuanyuan, et al.. (2024). Quercetin through miR-147–5p/Clip3 axis reducing Th17 cell differentiation to alleviate periodontitis. Regenerative Therapy. 27. 496–505. 4 indexed citations
5.
Li, Yanjie, Wang Liu, Yuanyuan An, et al.. (2023). Yunnan Baiyao Inhibits Periodontitis by Suppressing the Autophagic Flux. International Dental Journal. 74(2). 284–293. 4 indexed citations
7.
Ren, Xiaobin, et al.. (2023). miR‐148a‐3p regulates proliferation and apoptosis of idiopathic gingival fibroma by targeting NPTX1. Oral Diseases. 30(4). 2136–2149. 1 indexed citations
8.
Ren, Xiaobin, et al.. (2022). Yunnan Baiyao Ameliorates Rheumatoid Arthritis in Rats by Shifting the Th17/Treg Cell Balance and Preventing Osteoclast Differentiation. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 10 indexed citations
9.
He, Hongbing, Yu Shi, Xianbo Jia, et al.. (2018). MicroRNA-216b inhibits heat stress-induced cell apoptosis by targeting Fas in bovine mammary epithelial cells. Cell Stress and Chaperones. 23(5). 921–931. 21 indexed citations
10.
He, Hongbing, Yu Shi, Xue Yang, et al.. (2018). miR-148a-3p promotes rabbit preadipocyte differentiation by targeting PTEN. In Vitro Cellular & Developmental Biology - Animal. 54(3). 241–249. 40 indexed citations
11.
Ren, Xiaobin, Mingzhu Zhang, Lingxiang Chen, et al.. (2017). The anti-inflammatory effects of Yunnan Baiyao are involved in regulation of the phospholipase A2/arachidonic acid metabolites pathways in acute inflammation rat model. Molecular Medicine Reports. 16(4). 4045–4053. 22 indexed citations
12.
Shi, Yu, Hongbing He, Xue Yang, et al.. (2017). miR-221 modulates skeletal muscle satellite cells proliferation and differentiation. In Vitro Cellular & Developmental Biology - Animal. 54(2). 147–155. 15 indexed citations
13.
Liu, Jianqi, et al.. (2017). Roles of Wnt3a and Dkk1 in experimental periodontitis. Journal of Dental Sciences. 12(3). 220–225. 10 indexed citations
14.
Fu, Yong‐Wei & Hongbing He. (2013). Apoptosis of periodontium cells in streptozototocin- and ligature-induced experimental diabetic periodontitis in rats. Acta Odontologica Scandinavica. 71(5). 1206–1215. 24 indexed citations
16.
He, Hongbing, Xiaobin Ren, Xiyue Wang, et al.. (2011). Therapeutic effect of Yunnan Baiyao on rheumatoid arthritis was partially due to regulating arachidonic acid metabolism in osteoblasts. Journal of Pharmaceutical and Biomedical Analysis. 59. 130–137. 28 indexed citations
17.
Fu, Yong‐Wei, et al.. (2009). [Osteoblast apoptosis in experimental diabetic periodontitis in rats].. PubMed. 27(3). 252–5, 259. 2 indexed citations
18.
Liu, Rongkun, Tesfahun Desta, Hongbing He, & Dana T. Graves. (2004). Diabetes Alters the Response to Bacteria by Enhancing Fibroblast Apoptosis. Endocrinology. 145(6). 2997–3003. 56 indexed citations
19.
He, Hongbing, Rongkun Liu, Tesfahun Desta, et al.. (2003). Diabetes Causes Decreased Osteoclastogenesis, Reduced Bone Formation, and Enhanced Apoptosis of Osteoblastic Cells in Bacteria Stimulated Bone Loss. Endocrinology. 145(1). 447–452. 153 indexed citations
20.
Alikhani, Mani, et al.. (2003). Lipopolysaccharides Indirectly Stimulate Apoptosis and Global Induction of Apoptotic Genes in Fibroblasts. Journal of Biological Chemistry. 278(52). 52901–52908. 49 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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