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
-
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 5
- Fungal and yeast genetics research 2
- Cell death mechanisms and regulation 2
- Oncology 5
- Cancer-related Molecular Pathways 5
- Co-authors
- Fuyuhiko Tamanoi (13 shared papers)Akio Nakashima (2 shared papers)Tatsuhiro Sato (2 shared papers)Chia‐Ling Gau (4 shared papers)Jun Imai (1 shared paper)Akio Toh‐e (1 shared paper)Yasushi Matsui (1 shared paper)Hironori Edamatsu (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Oncogene (2 papers)Neuro-Oncology (2 papers)Molecular Cancer Therapeutics (1 paper)Applied Biochemistry and Biotechnology (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Lea Guo
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 290
- Molecular Biology 1.1k
- Cancer Research 113
- Oncology 202
- Genetics 72
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 173 | |
| 2 | 2010 | 168 | |
| 3 | 2009 | 160 | |
| 4 | 2003 | 133 | |
| 5 | 2002 | 124 | |
| 6 | 2003 | 94 | |
| 7 | 2000 | 94 | |
| 8 | 2005 | 79 | |
| 9 | 2008 | 71 | |
| 10 | 2020 | 65 | |
| 11 | 2009 | 56 | |
| 12 | 2014 | 49 | |
| 13 | 2005 | 46 | |
| 14 | 2020 | 43 | |
| 15 | 1999 | 37 | |
| 16 | 2021 | 15 | |
| 17 | 2014 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Lea Guo
Lea Guo is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Neurology, having authored 22 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), Fungal and yeast genetics research (2 papers), Cell death mechanisms and regulation (2 papers), Cellular transport and secretion (2 papers), Mast cells and histamine (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cell Biology (290 citations), Molecular Biology (1.1k citations), Cancer Research (113 citations), Oncology (202 citations) and Genetics (72 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, Jun Imai, Akio Toh‐e, Yasushi Matsui, Hironori Edamatsu, Juran Kato‐Stankiewicz and Tetsuo Nemoto. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Neuro-Oncology, Molecular Cancer Therapeutics and Applied Biochemistry and Biotechnology.
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.