Chen Bai

965 citations
36 papers · 624 · 1 hit paper · h-index 11

Impact in

Papers in

Chen Bai

33 papers receiving 615 citations

Chen Bai's Hit Papers

Review on the potential action mechanisms of Chinese medicines in treating Coronavirus Disease 2019 (COVID-19) 2020 · 205 citations
2050+2+4Years since publication50100150200

Peers

Chen Bai
Comparison fields: 5 of 98
  • Pharmacology 207
  • Complementary and alternative medicine 187
  • Infectious Diseases 120
  • Biological Psychiatry 16
  • Computational Theory and Mathematics 74
Replace Qingquan Liu with:
Qingquan Liu China
Hui Luo China
Xingjiang Hu China
Max Berrill United Kingdom
Ruben Manuel Luciano Colunga Biancatelli United States
Madhu Cholenahalli Lingaraju India
Dayong Cai China
Lin Ang South Korea
Yuhong Guo China
Swapnil Borse India
Chen Bai relative to Qingquan Liu China Qingquan Liu's profile →
Citations per field
00.5×1.5×1.9×
Qingquan Liu · 1×
Citations per year

Countries citing papers authored by Chen Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review on the potential action mechanisms of Chinese medicines in treating Coronavirus Disease 2019 (COVID-19)
Hit paper breakdown →
2020205
2 2020173
3 201530
4 202025
5 202222
6 202020
7 202019
8 202216
9 202014
10 202214
11 202213
12 20248
13 20217
14 20247
15 20207
16 20216
17 20206
18 20194
19 20234
20 20213

About Chen Bai

Chen Bai is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Infectious Diseases and Immunology, having authored 36 papers that have together received 624 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Traditional Chinese Medicine Studies (6 papers), Traditional Chinese Medicine Analysis (5 papers), Plant-based Medicinal Research (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Immune Response and Inflammation (4 papers), Medicinal Plants and Bioactive Compounds (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Pharmacology (207 citations), Complementary and alternative medicine (187 citations), Infectious Diseases (120 citations), Biological Psychiatry (16 citations) and Computational Theory and Mathematics (74 citations). Chen Bai has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Ying Xie, Hua Zhou, Fan He, Yu‐Feng Huang, Tiegang Liu, Xiaohong Gu, Siying Wu, Ruocong Yang, Yingchao Wang and Rui Guo. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Frontiers in Immunology, Pharmacological Research, Frontiers in Pharmacology and iScience.

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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