Lisha Xiang
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 12
- Oncology top 5%
- Cancer Cells and Metastasis 5
- Cancer-related Molecular Pathways 2
- Immunology top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 4
- Cell death mechanisms and regulation 3
- Mitochondrial Function and Pathology 2
- DNA Repair Mechanisms 2
- Biochemistry top 5%
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- Cancer Research and Treatments 4
- Co-authors
- Gregg L. SemenzaDaniele M. GilkesNaoharu TakanoWeibo LuoJohn W. BullenDebangshu SamantaHoujie LiangHaiquan Lu
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (4 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lisha Xiang
37 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 1.1k
- Oncology 547
- Immunology 411
- Molecular Biology 1.3k
- Biochemistry 116
Countries citing papers authored by Lisha Xiang
This map shows the geographic impact of Lisha Xiang'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 Lisha Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Xiang more than expected).
Fields of papers citing papers by Lisha Xiang
This network shows the impact of papers produced by Lisha Xiang. 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 Lisha Xiang. The network helps show where Lisha Xiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisha Xiang, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 49 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 21 | |
| 6 | 2018 | 56 | |
| 7 | 2017 | 101 | |
| 8 | 2016 | 6 | |
| 9 | 2015 | 11 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 53 | |
| 15 | 2014 | 6 | |
| 16 | Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasisbreakdown → | 2014 | 412 |
| 17 | 2014 | 58 | |
| 18 | 2014 | 3 | |
| 19 | 2013 | 91 | |
| 20 | 2013 | 87 |
About Lisha Xiang
Lisha Xiang is a scholar working on Cancer Research, Oncology and Biotechnology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Cancer Cells and Metastasis (5 papers), Cancer Research and Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (2 papers), DNA Repair Mechanisms (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (547 citations) and Immunology (411 citations). Lisha Xiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gregg L. Semenza, Daniele M. Gilkes, Naoharu Takano, Weibo Luo, John W. Bullen, Debangshu Samanta, Houjie Liang, Haiquan Lu, Hongxia Hu and Pallavi Chaturvedi. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.