Hui Bai

2.7k citations
110 papers · 2.1k · h-index 27

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Hui Bai

104 papers receiving 2.1k citations

Peers

Hui Bai
Comparison fields: 5 of 123
  • Immunology 394
  • Neurology 112
  • Molecular Biology 804
  • Cancer Research 162
  • Biological Psychiatry 26
Replace Ying Nie with:
Ying Nie China
Wang Jae Lee South Korea
Toshihiro Okamoto Japan
Shaowei Wang China
Xiaoyi Hu China
Seung‐Hoon Yang South Korea
Eun‐Yi Moon South Korea
Aiping Bai United States
Mariarosaria Santillo Italy
Hui Bai relative to Ying Nie China Ying Nie's profile →
Citations per field
00.5×1.7×
Ying Nie · 1×
Citations per year

Countries citing papers authored by Hui Bai

Since Specialization
Citations

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

Fields of papers citing papers by Hui Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 2011103
3 201184
4 202067
5 202263
6 201163
7 201259
8 201557
9 201353
10 202151
11 201148
12 201047
13 201745
14 201944
15 201839
16 201238
17 201337
18 202034
19 201634
20 201933

About Hui Bai

Hui Bai is a scholar working on Molecular Biology, Immunology, Plant Science, Epidemiology and Pharmacology, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Plant-Microbe Interactions and Immunity (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Anesthesia and Neurotoxicity Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Immunology (394 citations), Neurology (112 citations), Molecular Biology (804 citations), Cancer Research (162 citations) and Biological Psychiatry (26 citations). Hui Bai has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jingjing Ben, Xudong Zhu, Hanwen Zhang, Qi Chen, Li Gao, Zhiheng Zhang, Yong Xu, Xiaopeng Song, Tianwen Ma and Qing Yang. Their work appears in journals such as Biochemical Pharmacology, Nature Communications, PLoS ONE, Plant Disease and Molecular Neurobiology.

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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