Liting Xue
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- DNA Repair Mechanisms 3
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Cancer-related gene regulation 3
- RNA Research and Splicing 3
- Angiogenesis and VEGF in Cancer 3
- Oncology 8
- PARP inhibition in cancer therapy 3
- Co-authors
- Lucio H. Castilla (6 shared papers)John Anto Pulikkan (6 shared papers)Lihua Julie Zhu (3 shared papers)Peter J.M. Valk (2 shared papers)Jianhong Ou (2 shared papers)Christopher A. Eide (2 shared papers)Zhi Sheng (2 shared papers)Leyuan Ma (2 shared papers)
- Journals
- Cancer Research (12 papers)Blood (6 papers)Journal of Medicinal Chemistry (1 paper)International Immunopharmacology (1 paper)BMC Genomics (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Liting Xue
30 papers receiving 413 citations
Peers
Comparison fields: 5 of 66
- Hematology 167
- Genetics 73
- Molecular Biology 234
- Cancer Research 35
- Oncology 57
Countries citing papers authored by Liting Xue
This map shows the geographic impact of Liting Xue'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 Liting Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Xue more than expected).
Fields of papers citing papers by Liting Xue
This network shows the impact of papers produced by Liting Xue. 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 Liting Xue. The network helps show where Liting Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting Xue, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 107 | |
| 2 | 2015 | 89 | |
| 3 | 2012 | 41 | |
| 4 | 2022 | 37 | |
| 5 | 2009 | 36 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 16 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2014 | 2 |
About Liting Xue
Liting Xue is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 34 papers that have together received 416 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related gene regulation (3 papers), RNA Research and Splicing (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Hematology (167 citations), Genetics (73 citations), Molecular Biology (234 citations), Cancer Research (35 citations) and Oncology (57 citations). Liting Xue has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lucio H. Castilla, John Anto Pulikkan, Lihua Julie Zhu, Peter J.M. Valk, Jianhong Ou, Christopher A. Eide, Zhi Sheng, Leyuan Ma, Yi Shan and Lloyd Hutchinson. Their work appears in journals such as Cancer Research, Blood, Journal of Medicinal Chemistry, International Immunopharmacology and BMC Genomics.
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.