Xiaocui Bai

971 citations
22 papers · 817 · h-index 13

Impact in

Papers in

    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 2
    • Psoriasis: Treatment and Pathogenesis 2

Xiaocui Bai

19 papers receiving 812 citations

Peers

Xiaocui Bai
Comparison fields: 5 of 94
  • Cell Biology 395
  • Immunology and Allergy 89
  • Molecular Biology 412
  • Pollution 57
  • Immunology 104
Replace Kristiina A. Vuori with:
Kristiina A. Vuori Finland
Chunhong Cui China
Wande Li United States
Zhuo Lv China
Maitrayee Bhattacharyya‐Pakrasi United States
Marı́a Tortolero Spain
Krishnanand D. Kumble United States
Irena Zajc Slovenia
Raúl Cassia Argentina
Karen L. Reddy United States
Xiaocui Bai relative to Kristiina A. Vuori Finland Kristiina A. Vuori's profile →
Citations per field
00.5×3.2×
Kristiina A. Vuori · 1×
Citations per year

Countries citing papers authored by Xiaocui Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocui Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaocui Bai, 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 Xiaocui Bai Line = papers co-authored together Xiaocui Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992431
2 201660
3 199452
4 201543
5 201540
6 202036
7 202025
8 202124
9 201422
10 201420
11 202020
12 202014
13 201414
14 20229
15 20252
16 20252
17 20251
18 20251
19 20171
20 20180

About Xiaocui Bai

Xiaocui Bai is a scholar working on Immunology, Molecular Biology, Cell Biology, Surgery and Dermatology, having authored 22 papers that have together received 817 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), interferon and immune responses (2 papers), Coronary Interventions and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Acute Myocardial Infarction Research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cell Biology (395 citations), Immunology and Allergy (89 citations), Molecular Biology (412 citations), Pollution (57 citations) and Immunology (104 citations). Xiaocui Bai has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Bart Van der Schueren, Herman Van den Berghe, Gregory David, J J Cassiman, Haifeng Qian, Zhengwei Fu, Gang Wang, Michel Lavoie, Jun Xie and Luting Yang. Their work appears in journals such as Scientific Reports, Ecotoxicology, The Journal of Cell Biology, Journal of Advanced Research and Frontiers in Immunology.

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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