Xia Bai
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
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- MicroRNA in disease regulation
Papers in ⓘ
- Hematology 30
- Platelet Disorders and Treatments 23
- Blood Coagulation and Thrombosis Mechanisms 5
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- Renal Diseases and Glomerulopathies 7
- Co-authors
- Changgeng Ruan (38 shared papers)Zhaoyue Wang (25 shared papers)Lijuan Cao (18 shared papers)Hongming Zhuang (12 shared papers)Ziqiang Yu (13 shared papers)Weichang Chen (3 shared papers)Zhaoyue Wang (7 shared papers)Yanyan Bai (2 shared papers)
- Journals
- Blood (3 papers)Blood Coagulation & Fibrinolysis (3 papers)Thrombosis Research (3 papers)Clinical Nuclear Medicine (22 papers)Platelets (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Xia Bai
96 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Hematology 275
- Cancer Research 158
- Immunology 197
- Genetics 95
- Nephrology 63
Countries citing papers authored by Xia Bai
This map shows the geographic impact of Xia 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 Xia Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Bai more than expected).
Fields of papers citing papers by Xia Bai
This network shows the impact of papers produced by Xia 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 Xia Bai. The network helps show where Xia Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia 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
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 96 | |
| 2 | 2011 | 89 | |
| 3 | 2013 | 74 | |
| 4 | 2021 | 55 | |
| 5 | 2019 | 49 | |
| 6 | 2007 | 46 | |
| 7 | Clinical and molecular genetic analysis of a family with sitosterolemia and co-existing erythrocyte and platelet abnormalities. | 2006 | 43 |
| 8 | 2013 | 40 | |
| 9 | 2010 | 39 | |
| 10 | 2009 | 27 | |
| 11 | 2005 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 22 | |
| 14 | 2007 | 22 | |
| 15 | 2019 | 19 | |
| 16 | 2016 | 19 | |
| 17 | Effect of new-breviscapine on fibrinolysis and anticoagulation of human vascular endothelial cells. | 1992 | 19 |
| 18 | 2012 | 19 | |
| 19 | 2008 | 18 | |
| 20 | 2004 | 17 |
About Xia Bai
Xia Bai is a scholar working on Hematology, Nephrology, Pulmonary and Respiratory Medicine, Immunology and Oncology, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Complement system in diseases (10 papers), Blood properties and coagulation (8 papers), Renal Diseases and Glomerulopathies (7 papers), Glycosylation and Glycoproteins Research (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Medical Imaging and Pathology Studies (6 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Hematology (275 citations), Cancer Research (158 citations), Immunology (197 citations), Genetics (95 citations) and Nephrology (63 citations). Xia Bai has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Changgeng Ruan, Zhaoyue Wang, Lijuan Cao, Hongming Zhuang, Ziqiang Yu, Weichang Chen, Zhaoyue Wang, Yanyan Bai, Lijun Xia and Jingcheng Miao. Their work appears in journals such as Blood, Blood Coagulation & Fibrinolysis, Thrombosis Research, Clinical Nuclear Medicine and Platelets.
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.