Lijing Shen
Impact in
-
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
Papers in
-
- Histone Deacetylase Inhibitors Research 3
- Retinoids in leukemia and cellular processes 2
- Oncology 8
- CAR-T cell therapy research 5
- Co-authors
- Hua Zhong (5 shared papers)Fangyuan Chen (6 shared papers)Jiaying Liu (1 shared paper)Xiao Gao (1 shared paper)Xiang Li (1 shared paper)Honghui Huang (7 shared papers)Yong Zhang (2 shared papers)Min Zhong (1 shared paper)
- Journals
- Blood (6 papers)Journal of Clinical Medicine (2 papers)Disease Markers (1 paper)PLoS ONE (1 paper)BMC Nephrology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lijing Shen
33 papers receiving 282 citations
Peers
Comparison fields: 5 of 78
- Hematology 54
- Oncology 46
- Molecular Biology 125
- Immunology 35
- Cell Biology 26
Countries citing papers authored by Lijing Shen
This map shows the geographic impact of Lijing Shen'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 Lijing Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijing Shen more than expected).
Fields of papers citing papers by Lijing Shen
This network shows the impact of papers produced by Lijing Shen. 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 Lijing Shen. The network helps show where Lijing Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lijing Shen, 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 | 2014 | 36 | |
| 2 | 2019 | 36 | |
| 3 | 2013 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2018 | 19 | |
| 6 | 2016 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2015 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 7 | |
| 14 | 2022 | 7 | |
| 15 | [Polymorphisms of CYP3A5 gene in acute leukemia patients and their role in chemotherapy and prognosis]. | 2008 | 6 |
| 16 | 2013 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2021 | 3 |
About Lijing Shen
Lijing Shen is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, having authored 38 papers that have together received 287 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers), Hepatitis C virus research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (54 citations), Oncology (46 citations), Molecular Biology (125 citations), Immunology (35 citations) and Cell Biology (26 citations). Lijing Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hua Zhong, Fangyuan Chen, Jiaying Liu, Xiao Gao, Xiang Li, Honghui Huang, Yong Zhang, Min Zhong, Ting Wang and Fangyuan Chen. Their work appears in journals such as Blood, Journal of Clinical Medicine, Disease Markers, PLoS ONE and BMC Nephrology.
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.