Li-Mou Zheng
- Biotechnology top 0.5%
- Biomedical Engineering top 5%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Co-authors
- David BermudesIvan KingStanley L. LinXiang LuoMartina IttensohnK. Brooks LowJohn M. PawelekTrung Bao Le
- Topics
- Lung Cancer Treatments and Mutations (13 papers)Cancer Research and Treatments (8 papers)Cancer Genomics and Diagnostics (8 papers)
- Journals
- Journal of Clinical InvestigationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Li-Mou Zheng
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Biotechnology 748
- Biomedical Engineering 539
- Genetics 420
- Pulmonary and Respiratory Medicine 379
- Oncology 315
Countries citing papers authored by Li-Mou Zheng
This map shows the geographic impact of Li-Mou Zheng'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 Li-Mou Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Mou Zheng more than expected).
Fields of papers citing papers by Li-Mou Zheng
This network shows the impact of papers produced by Li-Mou Zheng. 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 Li-Mou Zheng. The network helps show where Li-Mou Zheng may publish in the future.
Co-authorship network of co-authors of Li-Mou Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Li-Mou Zheng. A scholar is included among the top collaborators of Li-Mou Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li-Mou Zheng. Li-Mou Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 69 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | 0 | |
| 9 | 47 | |
| 10 | 64 | |
| 11 | 49 | |
| 12 | 14 | |
| 13 | [Screening for K-ras mutations in colorectal and lung cancers by using a novel real-time PCR with ADx-K-ras kit and Sanger DNA sequencing]. | 1 |
| 14 | 4 | |
| 15 | 101 | |
| 16 | 50 | |
| 17 | 16 | |
| 18 | 139 | |
| 19 | 407 | |
| 20 | 11 |
About Li-Mou Zheng
Li-Mou Zheng is a scholar working on Biotechnology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Cancer Research and Treatments (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Biotechnology (748 citations), Genetics (420 citations) and Biomedical Engineering (539 citations). Li-Mou Zheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include David Bermudes, Ivan King, Stanley L. Lin, Xiang Luo, Martina Ittensohn, K. Brooks Low, John M. Pawelek, Trung Bao Le, Mario Sznol and Jessica Fischer. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.