Hongbing Jiang

648 total citations
9 papers, 375 citations indexed

About

Hongbing Jiang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hongbing Jiang has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Hongbing Jiang's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Circular RNAs in diseases (2 papers). Hongbing Jiang is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Circular RNAs in diseases (2 papers). Hongbing Jiang collaborates with scholars based in China and United Kingdom. Hongbing Jiang's co-authors include Laikui Liu, Dongmiao Wang, Xiaoling Song, Xiangxiang Zhou, Xiaoyun Jiang, Jie Cheng, Hua Yuan, Ping Zhang, Ziwen Zhang and Hengguo Zhang and has published in prestigious journals such as Scientific Reports, Advanced Science and International Journal of Remote Sensing.

In The Last Decade

Hongbing Jiang

9 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongbing Jiang China	8	221	95	86	37	33	9	375
Y W Kim South Korea	8	197 0.9×	53 0.6×	160 1.9×	10 0.3×	29 0.9×	11	357
Krzysztof Glomski United States	10	132 0.6×	49 0.5×	49 0.6×	4 0.1×	19 0.6×	21	338
William P. Smith United States	11	54 0.2×	60 0.6×	88 1.0×	24 0.6×	16 0.5×	23	294
Zhiyong Wang China	14	198 0.9×	146 1.5×	159 1.8×	43 1.2×	15 0.5×	34	470
Esther O’Regan Ireland	15	151 0.7×	91 1.0×	113 1.3×	87 2.4×	50 1.5×	20	497
Bibhu Prasad Mishra India	9	276 1.2×	36 0.4×	32 0.4×	14 0.4×	33 1.0×	31	385
Manuela Pacyna‐Gengelbach Germany	8	173 0.8×	62 0.7×	94 1.1×	29 0.8×	39 1.2×	9	346
Masae Kitagawa Japan	7	215 1.0×	69 0.7×	175 2.0×	16 0.4×	13 0.4×	11	369
Prue A. Cowin Australia	8	215 1.0×	158 1.7×	171 2.0×	30 0.8×	66 2.0×	8	483

Countries citing papers authored by Hongbing Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Hongbing Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbing Jiang

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

All Works

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9 of 9 papers shown

Li, Jin, Y. Andrew Wang, Ziyu Wang, et al.. (2024). Super‐Enhancer Driven LIF/LIFR‐STAT3‐SOX2 Regulatory Feedback Loop Promotes Cancer Stemness in Head and Neck Squamous Cell Carcinoma. Advanced Science. 11(40). e2404476–e2404476. 9 indexed citations

Li, Bang, Zhili Xin, Shiyu Gao, et al.. (2022). SIRT6-Regulated Macrophage Efferocytosis Epigenetically Controls Inflammation Resolution of Diabetic Periodontitis. SSRN Electronic Journal. 5 indexed citations

Xin, Zhili, et al.. (2020). Blood and Salivary MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis. Journal of Oral and Maxillofacial Surgery. 79(5). 1082.e1–1082.e13. 16 indexed citations

Zhang, Hengguo, Jie Shan, Ping Zhang, Xin Chen, & Hongbing Jiang. (2020). Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible. Scientific Reports. 10(1). 18437–18437. 21 indexed citations

Zhang, Zhenxing, Xue Liu, Ziwen Zhang, et al.. (2020). LncRNA HOTAIR promotes the invasion and metastasis of oral squamous cell carcinoma through metastasis‐associated gene 2. Molecular Carcinogenesis. 59(4). 353–364. 40 indexed citations

Zhang, Qiao, Ping Wang, Hui Chen, et al.. (2017). A novel method for urban area extraction from VIIRS DNB and MODIS NDVI data: a case study of Chinese cities. International Journal of Remote Sensing. 38(21). 6094–6109. 29 indexed citations

Wang, Ruixia, et al.. (2014). Genetic variants in let-7/Lin28 modulate the risk of oral cavity cancer in a Chinese Han Population. Scientific Reports. 4(1). 7434–7434. 18 indexed citations

Pan, Yongchu, Weibing Zhang, Junqing Ma, et al.. (2012). Infants' MTHFR polymorphisms and nonsyndromic orofacial clefts susceptibility: A meta‐analysis based on 17 case–control studies. American Journal of Medical Genetics Part A. 158A(9). 2162–2169. 29 indexed citations

Liu, Laikui, Xiaoyun Jiang, Xiangxiang Zhou, et al.. (2009). Upregulation of vimentin and aberrant expression of E-cadherin/β-catenin complex in oral squamous cell carcinomas: correlation with the clinicopathological features and patient outcome. Modern Pathology. 23(2). 213–224. 208 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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