Haibo Ding

2.3k citations
121 papers · 1.4k · h-index 21

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 49
    • HIV/AIDS Research and Interventions 26
    • HIV/AIDS drug development and treatment 18

Haibo Ding

111 papers receiving 1.4k citations

Peers

Haibo Ding
Comparison fields: 5 of 109
  • Virology 405
  • Infectious Diseases 468
  • Immunology 303
  • Emergency Medicine 86
  • Epidemiology 301
Replace Alessandra Sacchi with:
Alessandra Sacchi Italy
Sophie Grabar France
Dénes Bánhegyi Hungary
Patrick Lacor Belgium
Meagan P. O’Brien United States
Helen Brown United Kingdom
Yen‐Hong Kuo United States
Hassen Kared France
Alessandra Latini Italy
Philippe Kestelyn Belgium
Haibo Ding relative to Alessandra Sacchi Italy Alessandra Sacchi's profile →
Citations per field
00.5×3.1×
Alessandra Sacchi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Haibo Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haibo Ding Line = papers co-authored together Haibo Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010108
2 201851
3 201649
4 202047
5 201845
6 201745
7 201143
8 201734
9 201032
10 202131
11 202131
12 201930
13 201729
14 201527
15 201925
16 201825
17 201425
18 201924
19 201723
20 201623

About Haibo Ding

Haibo Ding is a scholar working on Virology, Infectious Diseases, Immunology, Emergency Medicine and Epidemiology, having authored 121 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (49 papers), Immune Cell Function and Interaction (29 papers), HIV/AIDS Research and Interventions (26 papers), HIV/AIDS drug development and treatment (18 papers), HIV-related health complications and treatments (16 papers), T-cell and B-cell Immunology (7 papers), Reproductive System and Pregnancy (5 papers) and HIV, Drug Use, Sexual Risk (5 papers). The work is most often cited by research in Virology (405 citations), Infectious Diseases (468 citations), Immunology (303 citations), Emergency Medicine (86 citations) and Epidemiology (301 citations). Haibo Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Shang, Junjie Xu, Zining Zhang, Xiaoxu Han, Yongjun Jiang, Zhenxing Chu, Qinghai Hu, Yajing Fu, Bin Zhao and Wenqing Geng. Their work appears in journals such as Frontiers in Immunology, BMC Infectious Diseases, Journal of Translational Medicine, JAIDS Journal of Acquired Immune Deficiency Syndromes and Frontiers in Microbiology.

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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