Xiang Lu
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Papers in
-
- Heat shock proteins research 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cardiac Ischemia and Reperfusion 2
- Co-authors
- Reid C. Thompson (1 shared paper)Kaihua Lu (1 shared paper)Jialiang Wang (1 shared paper)Yufang Ma (1 shared paper)Susanne Müller (1 shared paper)Yuanying Gong (1 shared paper)Larry A. Pierce (1 shared paper)Zhixiang Cheng (1 shared paper)
- Journals
- Neurochemical Research (3 papers)PLoS ONE (3 papers)Experimental Biology and Medicine (2 papers)Clinical Cancer Research (1 paper)Cellular and Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiang Lu
21 papers receiving 618 citations
Peers
Comparison fields: 5 of 92
- Hematology 98
- Molecular Biology 420
- Biochemistry 36
- Cancer Research 54
- Genetics 33
Countries citing papers authored by Xiang Lu
This map shows the geographic impact of Xiang Lu'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 Xiang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Lu more than expected).
Fields of papers citing papers by Xiang Lu
This network shows the impact of papers produced by Xiang Lu. 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 Xiang Lu. The network helps show where Xiang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Lu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 233 | |
| 2 | 2010 | 88 | |
| 3 | 2014 | 56 | |
| 4 | 2010 | 48 | |
| 5 | 2012 | 36 | |
| 6 | 2019 | 26 | |
| 7 | 2013 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2019 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2005 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 9 | |
| 15 | 2010 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2022 | 4 |
About Xiang Lu
Xiang Lu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Neurology and Cancer Research, having authored 22 papers that have together received 627 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Sulfur Compounds in Biology (2 papers), Advanced Glycation End Products research (2 papers), Heat shock proteins research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Hematology (98 citations), Molecular Biology (420 citations), Biochemistry (36 citations), Cancer Research (54 citations) and Genetics (33 citations). Xiang Lu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Reid C. Thompson, Kaihua Lu, Jialiang Wang, Yufang Ma, Susanne Müller, Yuanying Gong, Larry A. Pierce, Zhixiang Cheng, Stefan Knapp and Yang Yu. Their work appears in journals such as Neurochemical Research, PLoS ONE, Experimental Biology and Medicine, Clinical Cancer Research and Cellular and Molecular Neurobiology.
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.