Lea Guo
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
- Polyamine Metabolism and Applications
Papers in ⓘ
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Fuyuhiko Tamanoi (13 shared papers)Akio Nakashima (2 shared papers)Tatsuhiro Sato (2 shared papers)Chia‐Ling Gau (4 shared papers)Akio Toh‐e (1 shared paper)Yasushi Matsui (1 shared paper)Jun Imai (1 shared paper)Hironori Edamatsu (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Neuro-Oncology (2 papers)Oncogene (2 papers)Electrophoresis (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Lea Guo
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 289
- Molecular Biology 1.1k
- Cancer Research 119
- Aging 13
- Oncology 198
Countries citing papers authored by Lea Guo
This map shows the geographic impact of Lea 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 Lea Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lea Guo more than expected).
Fields of papers citing papers by Lea Guo
This network shows the impact of papers produced by Lea 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 Lea Guo. The network helps show where Lea Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lea 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 165 | |
| 2 | 2010 | 163 | |
| 3 | 2009 | 153 | |
| 4 | 2003 | 126 | |
| 5 | 2002 | 116 | |
| 6 | 2003 | 90 | |
| 7 | 2000 | 90 | |
| 8 | 2005 | 73 | |
| 9 | 2008 | 67 | |
| 10 | 2020 | 63 | |
| 11 | 2009 | 50 | |
| 12 | 2014 | 45 | |
| 13 | 2020 | 43 | |
| 14 | 2005 | 43 | |
| 15 | 1999 | 35 | |
| 16 | 2021 | 15 | |
| 17 | 2014 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Lea Guo
Lea Guo is a scholar working on Genetics, Cell Biology, Molecular Biology, Neurology and Oncology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Glioma Diagnosis and Treatment (3 papers), Mast cells and histamine (2 papers), Nanoplatforms for cancer theranostics (2 papers), Fungal and yeast genetics research (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cell Biology (289 citations), Molecular Biology (1.1k citations), Cancer Research (119 citations), Aging (13 citations) and Oncology (198 citations). Lea Guo has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Fuyuhiko Tamanoi, Akio Nakashima, Tatsuhiro Sato, Chia‐Ling Gau, Akio Toh‐e, Yasushi Matsui, Jun Imai, Hironori Edamatsu, Juran Kato‐Stankiewicz and Tetsuo Nemoto. Their work appears in journals such as Journal of Biological Chemistry, Neuro-Oncology, Oncogene, Electrophoresis and Molecular Microbiology.
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.