Chaojun Wei

885 citations
39 papers · 613 · h-index 15

Impact in

Papers in

Chaojun Wei

36 papers receiving 607 citations

Peers

Chaojun Wei
Comparison fields: 5 of 121
  • Biological Psychiatry 32
  • Behavioral Neuroscience 22
  • Pollution 49
  • Infectious Diseases 70
  • Epidemiology 111
Replace Mario Bauer with:
Mario Bauer Germany
Carolina Guzmán Mexico
Guangjun Yu China
Jessica Kain United States
Jarno Honkanen Finland
Gloria Di Bella Italy
Jessica Cait Canada
Yapeng Liu China
Nabanita Mukherjee India
Chaojun Wei relative to Mario Bauer Germany Mario Bauer's profile →
Citations per field
00.5×4.1×
Mario Bauer · 1×
Citations per year

Countries citing papers authored by Chaojun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chaojun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201862
2 201948
3 200146
4 202340
5 201739
6 202137
7 201937
8 201933
9 201832
10 201630
11 201728
12 201922
13 201719
14
Assessment of CT urography in the diagnosis of urinary tract abnormalities.
200415
15 202014
16 201914
17 201913
18 202312
19 202010
20 201910

About Chaojun Wei

Chaojun Wei is a scholar working on Molecular Biology, Epidemiology, Surgery, Environmental Chemistry and Infectious Diseases, having authored 39 papers that have together received 613 indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (5 papers), Tuberculosis Research and Epidemiology (4 papers), Algal biology and biofuel production (4 papers), Tryptophan and brain disorders (3 papers), Stress Responses and Cortisol (3 papers), Marine and coastal ecosystems (3 papers), Mycobacterium research and diagnosis (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Behavioral Neuroscience (22 citations), Pollution (49 citations), Infectious Diseases (70 citations) and Epidemiology (111 citations). Chaojun Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rui Guo, Yanjuan Jia, Zhenhong Wei, Yonghong Li, Xiaoling Gao, Yu Wu, Hui Xu, Xiaoming Qi, Yuanting Li and Zhenhao Li. Their work appears in journals such as Environmental Pollution, Journal of Applied Phycology, BioMed Research International, Frontiers in Bioengineering and Biotechnology and Journal of Neuroinflammation.

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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