Shan Bai
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Aging 1
- Co-authors
- Ashok SharmaJin‐Xiong SheBryan L. CoppleMichael P. SarrasLyle D. BurgoonHideaki NagaseDavid MysonaJohn L. Wagner
- Journals
- Oncotarget (3 papers)Frontiers in Immunology (2 papers)Development Genes and Evolution (2 papers)Liver International (1 paper)GeroScience (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shan Bai
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 346
- Hepatology 75
- Cell Biology 130
- Molecular Biology 506
- Hematology 80
Countries citing papers authored by Shan Bai
This map shows the geographic impact of Shan 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 Shan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Bai more than expected).
Fields of papers citing papers by Shan Bai
This network shows the impact of papers produced by Shan 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 Shan Bai. The network helps show where Shan Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Bai, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 217 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 22 | |
| 9 | Tumor profiling of co-regulated receptor tyrosine kinase and chemoresistant genes reveal different targeting options for lung and gastroesophageal cancers. | 2016 | 6 |
| 10 | 2016 | 19 | |
| 11 | Serum Dickkopf-1 (DKK1) is significantly lower in patients with lung cancer but is rapidly normalized after treatment. | 2014 | 16 |
| 12 | 2014 | 29 | |
| 13 | 2010 | 27 | |
| 14 | 2010 | 128 | |
| 15 | 2006 | 14 | |
| 16 | 2005 | 116 | |
| 17 | 2003 | 34 | |
| 18 | 2003 | 35 | |
| 19 | Prostate cancer overexpresses CD44 variants 7-9 at the messenger RNA and protein level. | 2003 | 27 |
| 20 | 2003 | 60 |
About Shan Bai
Shan Bai is a scholar working on Aging, Applied Microbiology and Biotechnology, Cancer Research, Hematology and Nephrology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Ferroptosis and cancer prognosis (3 papers), Diabetes and associated disorders (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Gastric Cancer Management and Outcomes (3 papers), RNA modifications and cancer (3 papers), Pancreatic function and diabetes (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (346 citations), Hepatology (75 citations), Cell Biology (130 citations), Molecular Biology (506 citations) and Hematology (80 citations). Shan Bai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ashok Sharma, Jin‐Xiong She, Bryan L. Copple, Michael P. Sarras, Lyle D. Burgoon, Hideaki Nagase, David Mysona, John L. Wagner, Nathan D. Smith and Xiaoming Zhang. Their work appears in journals such as Oncotarget, Frontiers in Immunology, Development Genes and Evolution, Liver International and GeroScience.
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.