Shaochun Bai
- Molecular Biology
- Pathology and Forensic Medicine
- Genetics
- Nephrology top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Murray J. FavusDavid A. BushinskyStephen R. DlouhyRichard M. PopeWanqing LiuDavid W. GoodrichHongtao LiuTerry L. Moore
- Topics
- Genetic factors in colorectal cancer (5 papers)Vitamin D Research Studies (4 papers)Mitochondrial Function and Pathology (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shaochun Bai
24 papers receiving 355 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 150
- Pathology and Forensic Medicine 81
- Genetics 55
- Nephrology 51
- Pediatrics, Perinatology and Child Health 50
Countries citing papers authored by Shaochun Bai
This map shows the geographic impact of Shaochun 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 Shaochun Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochun Bai more than expected).
Fields of papers citing papers by Shaochun Bai
This network shows the impact of papers produced by Shaochun 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 Shaochun Bai. The network helps show where Shaochun Bai may publish in the future.
Co-authorship network of co-authors of Shaochun Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Shaochun Bai. A scholar is included among the top collaborators of Shaochun Bai 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 Shaochun Bai. Shaochun Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 56 | |
| 12 | 50 | |
| 13 | 28 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | Loss of heterozygosity of chromosome 20 in sporadic colorectal cancer. | 7 |
| 17 | [Loss of heterozygosity analysis to define putative region involved in tumor differentiation and metastases in sporadic colorectal cancer patients]. | 2 |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 2 |
About Shaochun Bai
Shaochun Bai is a scholar working on Pathology and Forensic Medicine, Nephrology and Modeling and Simulation, having authored 24 papers that have together received 362 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Vitamin D Research Studies (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Nephrology (51 citations), Pathology and Forensic Medicine (81 citations) and Complementary and Manual Therapy (8 citations). Shaochun Bai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Murray J. Favus, David A. Bushinsky, Stephen R. Dlouhy, Richard M. Pope, Wanqing Liu, David W. Goodrich, Hongtao Liu, Terry L. Moore, Harris Perlman and Kimberly A. Quaid. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.