Xiaobing Lv
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 2
-
- Biochemical and Molecular Research 2
- Histone Deacetylase Inhibitors Research 2
- RNA modifications and cancer 2
- Plant biochemistry and biosynthesis 1
- Co-authors
- Lei Jin (2 shared papers)Nelamangala V. Nagaraja (2 shared papers)Shuping Li (1 shared paper)Zheng Zhao (1 shared paper)Yinfeng Zhang (1 shared paper)Rong Li (1 shared paper)Anil K. Padyana (2 shared papers)Jing Shan (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Blood (1 paper)Frontiers in Cardiovascular Medicine (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaobing Lv
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Cancer Research 340
- Genetics 203
- Hematology 125
- Molecular Biology 533
- Biochemistry 53
Countries citing papers authored by Xiaobing Lv
This map shows the geographic impact of Xiaobing Lv'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 Xiaobing Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Lv more than expected).
Fields of papers citing papers by Xiaobing Lv
This network shows the impact of papers produced by Xiaobing Lv. 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 Xiaobing Lv. The network helps show where Xiaobing Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 372 | |
| 2 | 2020 | 150 | |
| 3 | 2022 | 120 | |
| 4 | 2019 | 116 | |
| 5 | 2017 | 102 | |
| 6 | 2019 | 70 | |
| 7 | 2019 | 65 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2019 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2017 | 1 | |
| 17 | [Energy charge changing by pathway manipulation of adenosine triphosphate metabolism in Escherichia coli]. | 2008 | 1 |
About Xiaobing Lv
Xiaobing Lv is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Genetics and Clinical Biochemistry, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Glioma Diagnosis and Treatment (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA modifications and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Cancer Research (340 citations), Genetics (203 citations), Hematology (125 citations), Molecular Biology (533 citations) and Biochemistry (53 citations). Xiaobing Lv has collaborated with scholars based in China, United States and France. Frequent co-authors include Lei Jin, Nelamangala V. Nagaraja, Shuping Li, Zheng Zhao, Yinfeng Zhang, Rong Li, Anil K. Padyana, Jing Shan, Stefan Größ and Giovanni Cianchetta. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Blood, Frontiers in Cardiovascular Medicine and International Journal of Biological Sciences.
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.