Honglin Xu

742 total citations
21 papers, 549 citations indexed

About

Honglin Xu is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Honglin Xu has authored 21 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Honglin Xu's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Erythrocyte Function and Pathophysiology (3 papers). Honglin Xu is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Erythrocyte Function and Pathophysiology (3 papers). Honglin Xu collaborates with scholars based in China, United States and United Kingdom. Honglin Xu's co-authors include Chyung‐Ru Wang, Taehoon Chun, Vijay Saxena, Ram Raj Singh, Luc Van Kaer, Hak-Jong Choi, Bo Deng, Walter A. Koltun, Michael J. Chorney and Hanh Nguyen and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Scientific Reports.

In The Last Decade

Honglin Xu

18 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honglin Xu China 12 343 109 83 72 61 21 549
Katherine A. Lundeen United States 8 317 0.9× 134 1.2× 66 0.8× 136 1.9× 51 0.8× 8 621
Hongxiang Sun China 12 163 0.5× 208 1.9× 84 1.0× 45 0.6× 54 0.9× 16 495
Estelle Adam France 9 412 1.2× 77 0.7× 47 0.6× 41 0.6× 41 0.7× 13 583
Kirill V. Korneev Russia 14 258 0.8× 212 1.9× 96 1.2× 27 0.4× 60 1.0× 41 565
Miki Aihara Japan 9 201 0.6× 115 1.1× 75 0.9× 24 0.3× 68 1.1× 16 571
Junfang Deng China 14 209 0.6× 280 2.6× 200 2.4× 52 0.7× 61 1.0× 21 648
Kevin Fenix Australia 13 387 1.1× 124 1.1× 147 1.8× 44 0.6× 21 0.3× 32 620
Songquan Wu China 12 186 0.5× 194 1.8× 160 1.9× 45 0.6× 53 0.9× 39 494
Torunn Bruland Norway 15 191 0.6× 238 2.2× 124 1.5× 23 0.3× 43 0.7× 39 596
Ryan J. Rebernick United States 8 134 0.4× 245 2.2× 74 0.9× 48 0.7× 55 0.9× 16 452

Countries citing papers authored by Honglin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Honglin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Honglin Xu. A scholar is included among the top collaborators of Honglin Xu 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 Honglin Xu. Honglin Xu 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.
Xu, Honglin, et al.. (2025). SAGERank: inductive learning of protein–protein interaction from antibody–antigen recognition. Chemical Science. 16(38). 17885–17899.
2.
Tian, Bozhi, Yawei Shao, Chengzhi Hu, et al.. (2025). Simulation Study on the Effect of Molecular Structure Characteristics of Lubricant Base Oils on Lubrication Performance. Lubricants. 13(9). 398–398.
3.
Xu, Honglin, Guang‐Hong Chen, Xin Han, et al.. (2025). Isoferulic Acid Mitigates Acute Lung Injury Induced by Sepsis Through the Inhibition of JAK2. Phytotherapy Research. 39(7). 3225–3240.
4.
Li, Jingwei, et al.. (2024). Causal association of immune cells and endometritis: a Mendelian randomization study. Scientific Reports. 14(1). 24822–24822. 3 indexed citations
5.
Han, Xin, Guoyong Zhang, Mingjie Pang, et al.. (2024). Taohong siwu decoction suppresses oxidative stress-induced myocardial apoptosis post-myocardial infarction by inhibiting PTEN pathway. Phytomedicine. 135. 155388–155388. 4 indexed citations
6.
Yang, Bo, Honglin Xu, Xianmei Pan, et al.. (2024). Lithospermic acid improves liver fibrosis through Piezo1-mediated oxidative stress and inflammation. Phytomedicine. 134. 155974–155974. 11 indexed citations
7.
Zhao, Xiaoduo, Bo Deng, Silin Liu, et al.. (2023). Piezo1 specific deletion in macrophage protects the progression of liver fibrosis in mice. Theranostics. 13(15). 5418–5434. 30 indexed citations
8.
Xie, Lingpeng, Chuying Zhou, Yuting Wu, et al.. (2023). Wenqingyin suppresses ferroptosis in the pathogenesis of sepsis-induced liver injury by activating the Nrf2-mediated signaling pathway. Phytomedicine. 114. 154748–154748. 43 indexed citations
9.
Zhang, Guoyong, Min Liu, Guang‐Hong Chen, et al.. (2023). Buyang Huanwu Decoction suppresses cardiac inflammation and fibrosis in mice after myocardial infarction through inhibition of the TLR4 signalling pathway. Journal of Ethnopharmacology. 320. 117388–117388. 9 indexed citations
10.
He, Yu, Bo Deng, Silin Liu, et al.. (2022). Myeloid Piezo1 Deletion Protects Renal Fibrosis by Restraining Macrophage Infiltration and Activation. Hypertension. 79(5). 918–931. 61 indexed citations
11.
Xu, Honglin, et al.. (2021). Antigenic Peptide Loading into Major Histocompatibility Complex Class I Is Driven by the Substrate N-Terminus. CCS Chemistry. 4(3). 910–925. 8 indexed citations
12.
Fan, Huijie, Xiaoshan Zhao, Zhang‐Bin Tan, et al.. (2019). Effects and mechanism of action of Huang-Lian-Jie-Du-Tang in atopic dermatitis-like skin dysfunction in vivo and in vitro. Journal of Ethnopharmacology. 240. 111937–111937. 27 indexed citations
13.
Zhou, Jun, Yao Deng, Guangyu Zhao, et al.. (2012). Insect cell-expressed hemagglutinin with CpG oligodeoxynucleotides plus alum as an adjuvant is a potential pandemic influenza vaccine candidate. Vaccine. 30(52). 7498–7505. 14 indexed citations
14.
15.
Cho, Hoonsik, Hak-Jong Choi, Honglin Xu, Kyrie Felio, & Chyung‐Ru Wang. (2010). Nonconventional CD8+ T Cell Responses to Listeria Infection in Mice Lacking MHC Class Ia and H2-M3. The Journal of Immunology. 186(1). 489–498. 14 indexed citations
16.
Yang, Xue, et al.. (2009). Crystal structure of lipoprotein GNA1946 from Neisseria meningitidis. Journal of Structural Biology. 168(3). 437–443. 16 indexed citations
17.
Shi, Huiying, et al.. (2009). CpG oligodeoxynucleotides are a potent adjuvant for an inactivated polio vaccine produced from Sabin strains of poliovirus. Vaccine. 27(47). 6558–6563. 22 indexed citations
18.
Saxena, Vijay, et al.. (2003). Repeated α-Galactosylceramide Administration Results in Expansion of NK T Cells and Alleviates Inflammatory Dermatitis in MRL- lpr/lpr Mice. The Journal of Immunology. 171(8). 4439–4446. 97 indexed citations
19.
Chun, Taehoon, Michael J. Page, Laurent Gapin, et al.. (2003). CD1d-expressing Dendritic Cells but Not Thymic Epithelial Cells Can Mediate Negative Selection of NKT Cells. The Journal of Experimental Medicine. 197(7). 907–918. 116 indexed citations
20.
Xu, Honglin, et al.. (2002). [CpG-ODN is a potential candidate adjuvant for human vaccines].. PubMed. 82(8). 553–6. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026