Baijie Tu

895 citations
32 papers · 763 indexed · h-index 17
Topics
Neuroscience and Neuropharmacology Research (8 papers)Carcinogens and Genotoxicity Assessment (5 papers)Memory and Neural Mechanisms (5 papers)

In The Last Decade

Baijie Tu

32 papers receiving 756 citations

Peers

Baijie Tu
Comparison fields: 5 of 94
  • Health, Toxicology and Mutagenesis 273
  • Molecular Biology 238
  • Cancer Research 133
  • Cellular and Molecular Neuroscience 85
  • Materials Chemistry 79
Replace María Rosa Ávila-Costa with:
María Rosa Ávila-Costa Mexico
Weixia Duan China
András Papp Hungary
Marta Goschorska Poland
Michael Aschner United States
Jun Kang South Korea
Wendy Jiang United States
Elisabetta Daré Sweden
Pamela Zambenedetti Italy
Chia‐Yi Tseng Taiwan
Baijie Tu relative to María Rosa Ávila-Costa Mexico María Rosa Ávila-Costa's profile →
Citations per field
00.5×3.6×
María Rosa Ávila-Costa · 1×
Citations per year

Countries citing papers authored by Baijie Tu

Since Specialization
Citations

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

Fields of papers citing papers by Baijie Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baijie Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Baijie Tu. A scholar is included among the top collaborators of Baijie Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Baijie Tu. Baijie Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 34
3 54
4 56
5 14
6 27
7 13
8 19
9 78
10 29
11 7
12 20
13 13
14 1
15 22
16 28
17 35
18 43
19 82
20
Investigation of air benzo (a)pyrene pollution in a coke plant in Jiulongpo District of Chongqing.
1

About Baijie Tu

Baijie Tu is a scholar working on Developmental Neuroscience, Health, Toxicology and Mutagenesis and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 763 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (273 citations), Developmental Neuroscience (45 citations) and Cancer Research (133 citations). Baijie Tu has collaborated with scholars based in China, New Zealand and United Kingdom. Frequent co-authors include Shuqun Cheng, Chengzhi Chen, Yinyin Xia, Xuejun Jiang, Yan Tang, Peng Bin, Zhen Zou, Xia Qin, Xianqing Cao and Qianghu Tang. Their work appears in journals such as Environmental Pollution, Chemosphere and Life Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026