Li Bai

3.2k citations
121 papers · 2.3k indexed · h-index 28

Impact in

Papers in

Li Bai

106 papers receiving 2.3k citations

Peers

Li Bai
Comparison fields: 5 of 113
  • Molecular Medicine 845
  • Endocrinology 515
  • Food Science 766
  • Biotechnology 327
  • Pollution 398
Replace J. W. Schmidt with:
J. W. Schmidt United States
Alberto Quesada Spain
Rui Pang China
Ya‐Wen He China
Barbara Citterio Italy
Valérie Gautier France
Jun‐Seob Kim South Korea
Yinyue Deng China
Holly Slater United Kingdom
Luca Fasolato Italy
Li Bai relative to J. W. Schmidt United States J. W. Schmidt's profile →
Citations per field
00.5×3.2×
J. W. Schmidt · 1×
Citations per year

Countries citing papers authored by Li Bai

Since Specialization
Citations

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

Fields of papers citing papers by Li Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20246
5 20242
6 20246
7 20242
8 202415
9 20233
10 20219
11 202119
12 202123
13 20188
14 201732
15
Effects of vegetation construction on soil and water conservation in small watershed of purplish soil region, northern Sichuan.
20171
16
[Genetic characterization and antimicrobial susceptibility analysis of methicillin-resistant Staphylococcus aureus isolated from ready-to-eat food and pig-related sources in China].
20133
17
Comparison of disease resistance of maize varieties from the 1950s to the 2000s in China.
20120
18
Genetic relationships among cimmyt subtropical QPM and Chinese maize inbred lines based on SSRS
20066
19
Purification of Mouse IgG from Ascites Fluid and Serum by Caprylic Acid and Ammonium Sulfate
20005
20
Purification of rat mcabs from culture supernatants by protein G
19991

About Li Bai

Li Bai is a scholar working on Molecular Medicine, Endocrinology, Food Science, Biotechnology and Pollution, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Salmonella and Campylobacter epidemiology (34 papers), Bacteriophages and microbial interactions (22 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Escherichia coli research studies (15 papers), Pharmaceutical and Antibiotic Environmental Impacts (15 papers), Genetics and Plant Breeding (12 papers) and Listeria monocytogenes in Food Safety (11 papers). The work is most often cited by research in Molecular Medicine (845 citations), Endocrinology (515 citations), Food Science (766 citations), Biotechnology (327 citations) and Pollution (398 citations). Li Bai has collaborated with scholars based in China, Ireland and United Kingdom. Frequent co-authors include Séamus Fanning, Pengcheng Du, Yunchang Guo, Honghu Sun, Chuanxiao Xie, Degui Zhang, Xinhai Li, Yuping Wan, Shihuang Zhang and Juan Wang. Their work appears in journals such as Foodborne Pathogens and Disease, Frontiers in Microbiology, Food Control, International Journal of Food Microbiology and Microbiology Spectrum.

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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