Hong Liu

5.3k total citations
136 papers, 2.4k citations indexed

About

Hong Liu is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Hong Liu has authored 136 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Epidemiology, 39 papers in Infectious Diseases and 30 papers in Immunology. Recurrent topics in Hong Liu's work include Mycobacterium research and diagnosis (20 papers), Autoimmune Bullous Skin Diseases (19 papers) and Leprosy Research and Treatment (19 papers). Hong Liu is often cited by papers focused on Mycobacterium research and diagnosis (20 papers), Autoimmune Bullous Skin Diseases (19 papers) and Leprosy Research and Treatment (19 papers). Hong Liu collaborates with scholars based in China, United States and United Kingdom. Hong Liu's co-authors include Christine Rohowsky‐Kochan, Furen Zhang, Zhuowei Hu, Su Mi, Jay L. Degen, Angela F. Drew, Hanzhi Liu, Yonggang Ma, Jia-Ping Wang and Hongzhen Yang and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Hong Liu

128 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Liu China 24 589 561 544 397 390 136 2.4k
Changjun Wang China 37 333 0.6× 552 1.0× 391 0.7× 280 0.7× 1.3k 3.3× 207 4.0k
Lukas Flatz Switzerland 29 592 1.0× 1.6k 2.8× 762 1.4× 542 1.4× 721 1.8× 102 4.0k
Jae Myun Lee South Korea 34 438 0.7× 743 1.3× 365 0.7× 180 0.5× 1.3k 3.4× 109 3.4k
Hui Shen China 28 392 0.7× 723 1.3× 181 0.3× 145 0.4× 557 1.4× 116 2.2k
Hideki Nakajima Japan 27 427 0.7× 571 1.0× 160 0.3× 157 0.4× 474 1.2× 98 2.2k
Naoyuki Katayama Japan 35 503 0.9× 1.2k 2.2× 322 0.6× 441 1.1× 823 2.1× 246 3.9k
Ioannis D. Bassukas Greece 26 1.1k 1.8× 250 0.4× 300 0.6× 185 0.5× 486 1.2× 140 2.8k
Suzanne T. Kanaly United States 14 509 0.9× 1.5k 2.7× 450 0.8× 208 0.5× 449 1.2× 16 2.5k
Carlos Monteagudo Spain 29 1.2k 2.0× 380 0.7× 1.4k 2.5× 629 1.6× 1.3k 3.3× 191 4.2k
You Sun Kim South Korea 34 1.2k 2.0× 611 1.1× 423 0.8× 429 1.1× 1.1k 2.8× 171 4.0k

Countries citing papers authored by Hong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Liu. A scholar is included among the top collaborators of Hong Liu 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 Hong Liu. Hong Liu 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.
Li, Wenchao, et al.. (2025). Switching biologic agent in patients with psoriasis: a systematic review and meta-analysis. Journal of Dermatological Treatment. 36(1). 2521082–2521082.
2.
3.
Liu, Tingting, Zhenzhen Wang, Xiaotong Xue, et al.. (2024). Single-cell transcriptomics analysis of bullous pemphigoid unveils immune-stromal crosstalk in type 2 inflammatory disease. Nature Communications. 15(1). 5949–5949. 15 indexed citations
4.
Sun, Lele, et al.. (2024). COVID-19 exacerbates psoriasis progression through inducing IFN-α expression. SHILAP Revista de lepidopterología. 17(8). 379–380.
5.
6.
Liu, Tingting, Zhenzhen Wang, Zihao Mi, et al.. (2023). CYBB-Mediated Ferroptosis Associated with Immunosuppression in Mycobacterium leprae–Infected Monocyte-Derived Macrophages. Journal of Investigative Dermatology. 144(4). 874–887.e2. 6 indexed citations
7.
Zhao, Qing, Tingting Liu, Lele Sun, et al.. (2023). Basophil activation test in diagnosis of immediate hypersensitivity reactions to IL‐17A inhibitors. Journal of the European Academy of Dermatology and Venereology. 38(5). e404–e406. 3 indexed citations
8.
Almutairi, Mubarak, Adam Lister, Qing Zhao, et al.. (2023). Activation of Human CD8+ T Cells with Nitroso Dapsone–Modified HLA-B*13:01–Binding Peptides. The Journal of Immunology. 210(8). 1031–1042. 3 indexed citations
9.
Chen, Wenjie, Fangfang Bao, Tingting Liu, et al.. (2023). A Series of 35 Cutaneous Infections Caused by Mycobacterium marinum in Han Chinese Population. Journal of Tropical Medicine. 2023. 1–7. 1 indexed citations
10.
Zhao, Qing, Mubarak Almutairi, Arun Tailor, et al.. (2021). HLA Class-II‒Restricted CD8+ T Cells Contribute to the Promiscuous Immune Response in Dapsone-Hypersensitive Patients. Journal of Investigative Dermatology. 141(10). 2412–2425.e2. 16 indexed citations
11.
Zhao, Meng, Yu Zhao, Qi Hu, et al.. (2020). Pathway engineering in yeast for synthesizing the complex polyketide bikaverin. Nature Communications. 11(1). 6197–6197. 40 indexed citations
12.
Liu, Di, Xiaofang Tang, Yexin Liu, et al.. (2020). Dihydroartemisinin inhibits the proliferation of IgAN mesangial cells through the mTOR signaling pathway. International Immunopharmacology. 80. 106125–106125. 29 indexed citations
13.
Shi, Wenhao, Zihao Mi, Zhenzhen Wang, et al.. (2020). Massively Parallel Sequencingof the Filaggrin Gene Reveals an Association Between FLG Loss-of-function Mutations and Leprosy. Acta Dermato Venereologica. 100(17). adv00299–adv00299. 2 indexed citations
14.
Wang, Zhenzhen, Xi’an Fu, Gongqi Yu, et al.. (2020). Identification of ZFP36L1 as an early‐onset psoriasis risk gene demonstrates opposite associations with leprosy and psoriasis in the Chinese population. Journal of the European Academy of Dermatology and Venereology. 34(9). e520–e523. 3 indexed citations
15.
Liu, Hong & Jiong Guo. (2016). Parameterized Complexity of Winner Determination in Minimax Committee Elections. Adaptive Agents and Multi-Agents Systems. 341–349. 12 indexed citations
16.
Ge, Shaoyun, et al.. (2016). A Bidding Model for Electric Vehicles to Provide Regulation Services Based on Intelligent Distribution System. 40(9). 2595. 4 indexed citations
17.
Wang, Chuan, Na Wang, Yongxiang Yu, et al.. (2015). Tuberculosis risk-associated single nucleotide polymorphisms do not show association with leprosy in Chinese population. International Journal of Infectious Diseases. 35. 1–2. 1 indexed citations
18.
Wang, Long, et al.. (2013). An Optimization Model of Peak-Valley Price Time-Interval Considering Vehicle-to-Grid. Power System Technology. 37(8). 2316–2321. 13 indexed citations
19.
Liu, Hong & Christine Rohowsky‐Kochan. (2011). Interleukin-27-Mediated Suppression of Human Th17 Cells Is Associated with Activation of STAT1 and Suppressor of Cytokine Signaling Protein 1. Journal of Interferon & Cytokine Research. 31(5). 459–469. 62 indexed citations
20.
Liu, Hong. (2002). Effects of Salvia miltiorrhiza on Matrix Metalloproteinases and Osteopontin Gene Expression and Proliferation of Cultured Vascular Smooth Muscle Cells. Chinese journal of integrated traditional and Western medicine. 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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