Junxia Yao
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 7
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Shiang Huang (8 shared papers)Yanli He (7 shared papers)Jine Zheng (8 shared papers)Jing Xiang Yang (2 shared papers)Xingbing Wang (2 shared papers)Xiaoqing Li (1 shared paper)Jun Liu (1 shared paper)Zhongping Liu (1 shared paper)
- Journals
- World Journal of Surgical Oncology (3 papers)Frontiers in Oncology (2 papers)Journal of Translational Medicine (2 papers)Oncogene (2 papers)Cancer Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Junxia Yao
38 papers receiving 520 citations
Peers
Comparison fields: 5 of 50
- Hematology 179
- Immunology 140
- Oncology 89
- Cancer Research 26
- Parasitology 11
Countries citing papers authored by Junxia Yao
This map shows the geographic impact of Junxia Yao'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 Junxia Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Yao more than expected).
Fields of papers citing papers by Junxia Yao
This network shows the impact of papers produced by Junxia Yao. 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 Junxia Yao. The network helps show where Junxia Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Yao, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 126 | |
| 2 | 2007 | 41 | |
| 3 | 2008 | 40 | |
| 4 | 2022 | 36 | |
| 5 | 2019 | 34 | |
| 6 | 2009 | 31 | |
| 7 | 2018 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 17 | |
| 10 | 2015 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2006 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2015 | 10 | |
| 17 | Effect of cytokines on in vitro bone resorption by cells isolated from giant cell tumor of bone. | 1999 | 8 |
| 18 | 2009 | 7 | |
| 19 | 2005 | 6 | |
| 20 | 2020 | 6 |
About Junxia Yao
Junxia Yao is a scholar working on Hematology, Oncology, Immunology, Parasitology and Rheumatology, having authored 38 papers that have together received 529 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Parasites and Host Interactions (3 papers), Genetic factors in colorectal cancer (2 papers), Mechanisms of cancer metastasis (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hematology (179 citations), Immunology (140 citations), Oncology (89 citations), Cancer Research (26 citations) and Parasitology (11 citations). Junxia Yao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shiang Huang, Yanli He, Jine Zheng, Jing Xiang Yang, Xingbing Wang, Xiaoqing Li, Jun Liu, Zhongping Liu, Wen Juan Du and Michael W. Schmitt. Their work appears in journals such as World Journal of Surgical Oncology, Frontiers in Oncology, Journal of Translational Medicine, Oncogene and Cancer Medicine.
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.