Rui Bai

121 papers receiving 1.9k citations

Peers

Rui Bai
Comparison fields: 5 of 139
  • Cancer Research 315
  • Parasitology 99
  • Cell Biology 246
  • Animal Science and Zoology 140
  • Biomaterials 156
Replace Maurizio Bruschi with:
Maurizio Bruschi Italy
Luca Musante Italy
Yoshihiro Nakamura Japan
Laura Santucci Italy
Paola Orecchia Italy
Margarita Fernández Spain
Alejandro J. Yáñez Chile
Anja Sterner‐Kock Germany
Shuen‐Ei Chen Taiwan
Rui Bai relative to Maurizio Bruschi Italy Maurizio Bruschi's profile →
Citations per field
00.5×3.2×
Maurizio Bruschi · 1×
Citations per year

Countries citing papers authored by Rui Bai

Since Specialization
Citations

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

Fields of papers citing papers by Rui Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017132
2 200986
3 201185
4 201676
5 201572
6 201370
7 201569
8
In vivo toxicity of nano-alumina on mice neurobehavioral profiles and the potential mechanisms.
201161
9 201959
10 201957
11 200849
12 201448
13 202046
14 201345
15 201640
16 202136
17 201936
18 201730
19 201029
20
Globular adiponectin reduces vascular calcification via inhibition of ER-stress-mediated smooth muscle cell apoptosis.
201527

About Rui Bai

Rui Bai is a scholar working on Molecular Biology, Oncology, Animal Science and Zoology, Cancer Research and Parasitology, having authored 128 papers that have together received 2.0k indexed citations. Recurring topics across this work include Coccidia and coccidiosis research (16 papers), Parasitic Infections and Diagnostics (12 papers), Veterinary medicine and infectious diseases (7 papers), Advanced Photocatalysis Techniques (7 papers), melanin and skin pigmentation (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Cancer Research (315 citations), Parasitology (99 citations), Cell Biology (246 citations), Animal Science and Zoology (140 citations) and Biomaterials (156 citations). Rui Bai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunfei Bian, Shu Zheng, Weiting Ge, Qingling Yang, Feifei Zhao, Xiao Chuan-shi, Yingpu Sun, Dan Li, Shuiming Xiao and Jiang Xu. Their work appears in journals such as Poultry Science, Parasitology Research, Animals, Scientific Reports and Frontiers in Earth Science.

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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