Runxia Gu
Impact in
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- Acute Myeloid Leukemia Research
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- CAR-T cell therapy research
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 9
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- Protein Degradation and Inhibitors 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Hui Wei (18 shared papers)Dapeng Li (2 shared papers)Xue Yang (1 shared paper)Gang Wu (3 shared papers)Wenqian Cai (1 shared paper)Pingwei Xu (1 shared paper)Junli Liu (3 shared papers)Ke Tang (1 shared paper)
- Journals
- Blood (9 papers)Molecular Oncology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Leukemia (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Runxia Gu
39 papers receiving 424 citations
Peers
Comparison fields: 5 of 78
- Hematology 56
- Oncology 100
- Immunology 77
- Nutrition and Dietetics 49
- Cancer Research 42
Countries citing papers authored by Runxia Gu
This map shows the geographic impact of Runxia Gu'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 Runxia Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runxia Gu more than expected).
Fields of papers citing papers by Runxia Gu
This network shows the impact of papers produced by Runxia Gu. 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 Runxia Gu. The network helps show where Runxia Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Runxia Gu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 104 | |
| 2 | 2013 | 68 | |
| 3 | 2018 | 29 | |
| 4 | 2013 | 26 | |
| 5 | 2020 | 26 | |
| 6 | 2017 | 25 | |
| 7 | 2015 | 18 | |
| 8 | 2012 | 14 | |
| 9 | 2015 | 13 | |
| 10 | TLR3 correlated with cervical lymph node metastasis in patients with papillary thyroid cancer. | 2014 | 12 |
| 11 | 2021 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Runxia Gu
Runxia Gu is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 50 papers that have together received 436 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), CAR-T cell therapy research (10 papers), Acute Lymphoblastic Leukemia research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Protein Degradation and Inhibitors (4 papers), Immune Cell Function and Interaction (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Hematology (56 citations), Oncology (100 citations), Immunology (77 citations), Nutrition and Dietetics (49 citations) and Cancer Research (42 citations). Runxia Gu has collaborated with scholars based in China and United States. Frequent co-authors include Hui Wei, Dapeng Li, Xue Yang, Gang Wu, Wenqian Cai, Pingwei Xu, Junli Liu, Ke Tang, Longqiang Wang and Yi Zhang. Their work appears in journals such as Blood, Molecular Oncology, Biochemical and Biophysical Research Communications, Leukemia and PLoS ONE.
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.