Candong Wei
Impact in
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- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 7
-
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 2
- Co-authors
- Qi Jin (17 shared papers)Jian Yang (9 shared papers)Wenchuan Leng (7 shared papers)Jianhua Zheng (9 shared papers)Liguo Liu (6 shared papers)Xingye Xu (4 shared papers)Jin Wang (4 shared papers)Xue Wang (1 shared paper)
- Journals
- BMC Genomics (5 papers)IUBMB Life (2 papers)PROTEOMICS (2 papers)Molecular & Cellular Proteomics (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Candong Wei
19 papers receiving 328 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 98
- Endocrinology 25
- Microbiology 25
- Epidemiology 93
- Molecular Biology 168
Countries citing papers authored by Candong Wei
This map shows the geographic impact of Candong 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 Candong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candong Wei more than expected).
Fields of papers citing papers by Candong Wei
This network shows the impact of papers produced by Candong 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 Candong Wei. The network helps show where Candong Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Candong Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 50 | |
| 2 | 2008 | 37 | |
| 3 | 2013 | 30 | |
| 4 | 2006 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2011 | 25 | |
| 7 | 2006 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2011 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2014 | 16 | |
| 12 | 2007 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2008 | 7 | |
| 16 | 2013 | 2 | |
| 17 | [Analysis of secreted proteases of Trichophyton rubrum]. | 2005 | 2 |
| 18 | [Analysis of mutation sites of BRCA1 gene in Chinese patients with breast cancer]. | 2002 | 1 |
| 19 | 2008 | 1 | |
| 20 | 2021 | 0 |
About Candong Wei
Candong Wei is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Endocrinology and Materials Chemistry, having authored 20 papers that have together received 330 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Nail Diseases and Treatments (4 papers), RNA and protein synthesis mechanisms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Enzyme Structure and Function (2 papers), Escherichia coli research studies (2 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Infectious Diseases (98 citations), Endocrinology (25 citations), Microbiology (25 citations), Epidemiology (93 citations) and Molecular Biology (168 citations). Candong Wei has collaborated with scholars based in China and United States. Frequent co-authors include Qi Jin, Jian Yang, Wenchuan Leng, Jianhua Zheng, Liguo Liu, Xingye Xu, Jin Wang, Xue Wang, Jingfeng Wang and Tao Deng. Their work appears in journals such as BMC Genomics, IUBMB Life, PROTEOMICS, Molecular & Cellular Proteomics and Journal of Proteome Research.
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.