Lisha Lu
Impact in
-
- Viral-associated cancers and disorders
-
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
-
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 2
-
- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Gregg D. Stanwood (1 shared paper)Paul McGonigle (1 shared paper)Zhaoming Li (5 shared papers)Zhi‐Yuan Zhou (5 shared papers)Melvin I. Simon (1 shared paper)Milan Jamrich (1 shared paper)Jiumao Lin (4 shared papers)Ching-Kang Chen (1 shared paper)
- Journals
- Annals of Hematology (2 papers)Energy storage materials (1 paper)Scientific Reports (1 paper)Cell Research (1 paper)Cancer Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Lisha Lu
24 papers receiving 487 citations
Peers
Comparison fields: 5 of 98
- Oncology 114
- Cellular and Molecular Neuroscience 75
- Pathology and Forensic Medicine 73
- Molecular Biology 219
- Immunology 60
Countries citing papers authored by Lisha Lu
This map shows the geographic impact of Lisha 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 Lisha Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Lu more than expected).
Fields of papers citing papers by Lisha Lu
This network shows the impact of papers produced by Lisha 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 Lisha Lu. The network helps show where Lisha Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 75 | |
| 2 | 2015 | 63 | |
| 3 | 1997 | 55 | |
| 4 | 2014 | 43 | |
| 5 | 2019 | 36 | |
| 6 | 2024 | 35 | |
| 7 | 2016 | 27 | |
| 8 | 2014 | 20 | |
| 9 | 2022 | 18 | |
| 10 | 2023 | 17 | |
| 11 | Pre-operative TNM staging of primary colorectal cancer by (18)F-FDG PET-CT or PET: a meta-analysis including 2283 patients. | 2015 | 17 |
| 12 | 2020 | 16 | |
| 13 | 2016 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 6 | |
| 19 | 2024 | 2 | |
| 20 | 2018 | 2 |
About Lisha Lu
Lisha Lu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Surgery and Electrical and Electronic Engineering, having authored 26 papers that have together received 490 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Advanced Battery Technologies Research (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced Battery Materials and Technologies (2 papers), Immune Response and Inflammation (2 papers), Advanced battery technologies research (2 papers), Epigenetics and DNA Methylation (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Oncology (114 citations), Cellular and Molecular Neuroscience (75 citations), Pathology and Forensic Medicine (73 citations), Molecular Biology (219 citations) and Immunology (60 citations). Lisha Lu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Gregg D. Stanwood, Paul McGonigle, Zhaoming Li, Zhi‐Yuan Zhou, Melvin I. Simon, Milan Jamrich, Jiumao Lin, Ching-Kang Chen, Theodore G. Wensel and Kevin C. Slep. Their work appears in journals such as Annals of Hematology, Energy storage materials, Scientific Reports, Cell Research and Cancer Biology and Medicine.
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.