Haibo Ding

2.2k total citations
118 papers, 1.3k citations indexed

About

Haibo Ding is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Haibo Ding has authored 118 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Virology, 46 papers in Infectious Diseases and 37 papers in Immunology. Recurrent topics in Haibo Ding's work include HIV Research and Treatment (63 papers), HIV/AIDS Research and Interventions (35 papers) and Immune Cell Function and Interaction (34 papers). Haibo Ding is often cited by papers focused on HIV Research and Treatment (63 papers), HIV/AIDS Research and Interventions (35 papers) and Immune Cell Function and Interaction (34 papers). Haibo Ding collaborates with scholars based in China, United States and United Kingdom. Haibo Ding's co-authors include Hong Shang, Junjie Xu, Zining Zhang, Xiaoxu Han, Yongjun Jiang, Zhenxing Chu, Qinghai Hu, Bin Zhao, Yajing Fu and Wenqing Geng and has published in prestigious journals such as Nature Communications, Nature Immunology and The Journal of Immunology.

In The Last Decade

Haibo Ding

110 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haibo Ding China 20 609 504 446 328 197 118 1.3k
Sophie Grabar France 26 706 1.2× 547 1.1× 691 1.5× 168 0.5× 110 0.6× 75 2.1k
Eva A. Operskalski United States 24 816 1.3× 454 0.9× 983 2.2× 300 0.9× 86 0.4× 42 2.1k
Patrick Lacor Belgium 20 319 0.5× 154 0.3× 219 0.5× 165 0.5× 203 1.0× 67 1.3k
I Ocaña Spain 31 1.1k 1.7× 405 0.8× 934 2.1× 126 0.4× 222 1.1× 89 2.4k
Naim Mahroum Israel 19 236 0.4× 210 0.4× 421 0.9× 184 0.6× 277 1.4× 65 1.3k
Ming‐Bo Huang United States 17 226 0.4× 405 0.8× 116 0.3× 270 0.8× 460 2.3× 28 926
Cynthia A. Kleeberger United States 16 1.0k 1.7× 1.3k 2.6× 423 0.9× 696 2.1× 289 1.5× 19 2.4k
Alessandra Latini Italy 19 381 0.6× 227 0.5× 457 1.0× 71 0.2× 112 0.6× 94 1.2k
Lesley J. Ashton Australia 21 277 0.5× 511 1.0× 205 0.5× 326 1.0× 255 1.3× 38 1.2k
Sulggi A. Lee United States 21 785 1.3× 711 1.4× 354 0.8× 324 1.0× 174 0.9× 37 1.4k

Countries citing papers authored by Haibo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Ding. A scholar is included among the top collaborators of Haibo Ding 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 Haibo Ding. Haibo Ding 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.
An, Minghui, Yang Gao, Haibo Ding, et al.. (2025). Immune Suppression, Preexisting Immunity, and Mutation Tendency Shaped SARS-CoV-2 Evolution in Persistent Infection. Microorganisms. 13(11). 2613–2613.
2.
Ding, Haibo, Xiaoyan Tang, & W.H. Wilson Tang. (2025). Effect of adjuvant chemotherapy with toad venom injection in the treatment of intermediate and advanced colon cancer and its effect on cellular immunity, PTEN, and PI3k. Anti-Cancer Drugs. 36(6). 495–500. 1 indexed citations
3.
Wang, Yue, Chenxi Guo, Xiaowen Yu, et al.. (2025). Inhibition of TIGIT on NK cells improves their cytotoxicity and HIV reservoir eradication potential. mBio. 16(3). e0322624–e0322624. 3 indexed citations
4.
5.
Ding, Haibo, Xin Peng, Jie Zhou, et al.. (2024). MRI Assessment of Diastolic Dysfunction in People Living With the Human Immunodeficiency Virus: Correlation With Markers of Disease Activity. Journal of Magnetic Resonance Imaging. 61(3). 1286–1298. 1 indexed citations
6.
7.
Wang, Meiting, Zining Zhang, Yajing Fu, et al.. (2023). Inhibitory receptor CD47 binding to plasma TSP1 suppresses NK-cell IFN-γ production via activating the JAK/STAT3 pathway during HIV infection. Journal of Translational Medicine. 21(1). 869–869. 5 indexed citations
8.
9.
Peng, Xin, Haibo Ding, Jie Zhou, et al.. (2023). Cardiac MRI‐Based Assessment of Myocardial Injury in Asymptomatic People Living With Human Immunodeficiency Virus: Correlation With nadir CD4 Count. Journal of Magnetic Resonance Imaging. 58(6). 1815–1823. 1 indexed citations
10.
Ding, Haibo, Weiming Tang, Xiaojie Huang, et al.. (2021). Context and Barriers to the Prescription of Nonoccupational Postexposure Prophylaxis Among HIV Medical Care Providers: National Internet-Based Observational Study in China. JMIR Public Health and Surveillance. 7(3). e24234–e24234. 3 indexed citations
11.
Zhang, Jing, Junjie Xu, Hongyi Wang, et al.. (2021). Preference for daily versus on‐demand pre‐exposure prophylaxis for HIV and correlates among men who have sex with men: the China Real‐world Oral PrEP Demonstration study. Journal of the International AIDS Society. 24(2). e25667–e25667. 30 indexed citations
12.
Ding, Haibo, Xiaojie Huang, Hui Wang, et al.. (2021). Factors Influencing Clinicians’ Willingness to Prescribe Pre-exposure Prophylaxis for Persons at High Risk of HIV in China: Cross-sectional Online Survey Study. JMIR Public Health and Surveillance. 7(6). e24235–e24235. 8 indexed citations
13.
Gao, Yang, Shan He, Dan Li, et al.. (2021). First complete-genome documentation of HIV-1 intersubtype superinfection with transmissions of diverse recombinants over time to five recipients. PLoS Pathogens. 17(2). e1009258–e1009258. 10 indexed citations
14.
15.
He, Shan, Yang Gao, Minghui An, et al.. (2020). Characterization of a Novel HIV-1 CRF01_AE/CRF07_BC Recombinant Strain Among Men Who Have Sex with Men in Liaoning, China. AIDS Research and Human Retroviruses. 37(1). 70–74. 2 indexed citations
16.
Chen, Yunfei, et al.. (2019). Analysis of PROC and PROS1 single nucleotide polymorphisms in a thrombophilia family. The Clinical Respiratory Journal. 13(8). 530–537. 4 indexed citations
17.
He, Sijia, Yajing Fu, Jia Guo, et al.. (2019). Cofilin hyperactivation in HIV infection and targeting the cofilin pathway using an anti-α 4 β 7 integrin antibody. Science Advances. 5(1). eaat7911–eaat7911. 14 indexed citations
18.
Ding, Haibo, Jing Liu, Junjie Xu, et al.. (2018). The clinical outcomes and prognosis of older human immunodeficiency virus-infected patients under antiretroviral therapy. 36(7). 417–421. 1 indexed citations
19.
Wu, Xian, Lele Zhang, Yajing Fu, et al.. (2017). Deregulated MicroRNA-21 Expression in Monocytes from HIV-Infected Patients Contributes to Elevated IP-10 Secretion in HIV Infection. Frontiers in Immunology. 8. 1122–1122. 17 indexed citations
20.
Zhou, Liping, Hong Shang, Zining Zhang, et al.. (2007). [Correlation between the function of monocytes/macrophages and disease progression in people living with HIV/AIDS in several provinces in China].. PubMed. 87(34). 2394–7. 3 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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