Limei Guo
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- Surgery 14
- Cholangiocarcinoma and Gallbladder Cancer Studies 4
- Co-authors
- Wei Fu (8 shared papers)Lu Wen (4 shared papers)Fuchou Tang (4 shared papers)Wendong Wang (3 shared papers)Xin Zhou (6 shared papers)Hideaki Enzan (18 shared papers)Shuhui Bian (2 shared papers)Yuan Zhou (1 shared paper)
- Journals
- Applied immunohistochemistry & molecular morphology (3 papers)Pathology International (3 papers)OncoTargets and Therapy (3 papers)American Journal Of Pathology (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Limei Guo
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 218
- Hepatology 73
- Oncology 229
- Molecular Biology 496
- Pulmonary and Respiratory Medicine 136
Countries citing papers authored by Limei Guo
This map shows the geographic impact of Limei Guo'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 Limei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limei Guo more than expected).
Fields of papers citing papers by Limei Guo
This network shows the impact of papers produced by Limei Guo. 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 Limei Guo. The network helps show where Limei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Limei Guo, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 186 | |
| 2 | 2022 | 142 | |
| 3 | 2017 | 51 | |
| 4 | 2016 | 44 | |
| 5 | 2014 | 39 | |
| 6 | 2016 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2023 | 37 | |
| 9 | 2015 | 36 | |
| 10 | 2017 | 28 | |
| 11 | 2000 | 25 | |
| 12 | 2002 | 24 | |
| 13 | 2003 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2004 | 23 | |
| 17 | 2023 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2003 | 19 | |
| 20 | 2010 | 16 |
About Limei Guo
Limei Guo is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Liver physiology and pathology (7 papers), Cancer Genomics and Diagnostics (5 papers), Renal cell carcinoma treatment (4 papers), Cancer Cells and Metastasis (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Cancer Research (218 citations), Hepatology (73 citations), Oncology (229 citations), Molecular Biology (496 citations) and Pulmonary and Respiratory Medicine (136 citations). Limei Guo has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wei Fu, Lu Wen, Fuchou Tang, Wendong Wang, Xin Zhou, Hideaki Enzan, Shuhui Bian, Yuan Zhou, Yueli Cui and Makoto Toi. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, Pathology International, OncoTargets and Therapy, American Journal Of Pathology and IEEE Journal of Biomedical and Health Informatics.
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.