Haibo Ding

2.2k citations
118 papers · 1.3k indexed · h-index 20

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 63
    • HIV/AIDS Research and Interventions 35
    • HIV/AIDS drug development and treatment 23

Haibo Ding

110 papers receiving 1.3k citations

Peers

Haibo Ding
Comparison fields: 5 of 113
  • Virology 504
  • Infectious Diseases 609
  • Immunology 328
  • Epidemiology 446
  • Emergency Medicine 105
Replace Meagan P. O’Brien with:
Meagan P. O’Brien United States
Alessandra Sacchi Italy
Sophie Grabar France
Patrick Lacor Belgium
Alessandra Latini Italy
Jean‐Daniel Lelièvre France
Marisa Zanchetta Italy
Helen Brown United Kingdom
Joseph C. Mudd United States
Dénes Bánhegyi Hungary
Haibo Ding relative to Meagan P. O’Brien United States Meagan P. O’Brien's profile →
Citations per field
00.5×4.3×
Meagan P. O’Brien · 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 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010108
2 201849
3 201648
4 201845
5 201143
6 202043
7 201743
8 201734
9 201032
10 202131
11 202130
12 201728
13 201928
14 201527
15 201825
16 201425
17 201924
18 201922
19 201622
20 201721

About Haibo Ding

Haibo Ding is a scholar working on Virology, Infectious Diseases, Emergency Medicine, Immunology and Epidemiology, having authored 118 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (63 papers), HIV/AIDS Research and Interventions (35 papers), Immune Cell Function and Interaction (34 papers), HIV/AIDS drug development and treatment (23 papers), HIV-related health complications and treatments (18 papers), HIV, Drug Use, Sexual Risk (13 papers), T-cell and B-cell Immunology (9 papers) and Reproductive System and Pregnancy (8 papers). The work is most often cited by research in Virology (504 citations), Infectious Diseases (609 citations), Immunology (328 citations), Epidemiology (446 citations) and Emergency Medicine (105 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, Bin Zhao, Yajing Fu and Wenqing Geng. Their work appears in journals such as Frontiers in Immunology, BMC Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of Translational Medicine and The Lancet Regional Health - Western Pacific.

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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