Yi Xia
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 99
- Oncology 56
- Viral-associated cancers and disorders 34
- CAR-T cell therapy research 7
- Co-authors
- Zhiming Li (34 shared papers)Panpan Liu (36 shared papers)Yu Wang (20 shared papers)Wei Xu (59 shared papers)Wen-Qi Jiang (26 shared papers)Peng Sun (18 shared papers)Jianyong Li (54 shared papers)Lei Fan (50 shared papers)
- Journals
- Annals of Hematology (14 papers)Blood (11 papers)Leukemia Research (8 papers)Oncotarget (7 papers)Chinese Journal of Cancer (6 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Yi Xia
161 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 102
- Pathology and Forensic Medicine 996
- Genetics 438
- Oncology 907
- Immunology 653
- Cancer Research 311
Countries citing papers authored by Yi Xia
This map shows the geographic impact of Yi Xia'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 Yi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Xia more than expected).
Fields of papers citing papers by Yi Xia
This network shows the impact of papers produced by Yi Xia. 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 Yi Xia. The network helps show where Yi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Xia, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 211 | |
| 2 | 2010 | 142 | |
| 3 | 2012 | 130 | |
| 4 | 2011 | 72 | |
| 5 | 2020 | 56 | |
| 6 | 2015 | 56 | |
| 7 | 2012 | 49 | |
| 8 | 2019 | 45 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 43 | |
| 11 | 2013 | 43 | |
| 12 | 2014 | 42 | |
| 13 | 2016 | 41 | |
| 14 | 2018 | 41 | |
| 15 | 2017 | 38 | |
| 16 | 2015 | 38 | |
| 17 | 2017 | 37 | |
| 18 | 2013 | 37 | |
| 19 | 2019 | 37 | |
| 20 | 2015 | 36 |
About Yi Xia
Yi Xia is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Molecular Biology, having authored 167 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (99 papers), Chronic Lymphocytic Leukemia Research (45 papers), Viral-associated cancers and disorders (34 papers), Immunodeficiency and Autoimmune Disorders (14 papers), Immune Cell Function and Interaction (13 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), T-cell and Retrovirus Studies (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (996 citations), Genetics (438 citations), Oncology (907 citations), Immunology (653 citations) and Cancer Research (311 citations). Yi Xia has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhiming Li, Panpan Liu, Yu Wang, Wei Xu, Wen-Qi Jiang, Peng Sun, Jianyong Li, Lei Fan, Huayuan Zhu and Hui-Qiang Huang. Their work appears in journals such as Annals of Hematology, Blood, Leukemia Research, Oncotarget and Chinese Journal of Cancer.
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.