Ribo Guo
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Protein Kinase Regulation and GTPase Signaling
- Chemical Synthesis and Analysis
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- Protein Tyrosine Phosphatases 4
- PI3K/AKT/mTOR signaling in cancer 4
- Cell death mechanisms and regulation 3
- Ubiquitin and proteasome pathways 2
- Chemical Synthesis and Analysis 2
- Oncology 3
- Co-authors
- Dajun Yang (14 shared papers)Shaomeng Wang (5 shared papers)Peter P. Roller (4 shared papers)Manchao Zhang (6 shared papers)Bihua Li (5 shared papers)York Tomita (2 shared papers)Yan Ling (3 shared papers)Xueliang Fang (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Cancer Letters (2 papers)Biochemical Pharmacology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Ribo Guo
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Toxicology 111
- Molecular Biology 855
- Oncology 240
- Organic Chemistry 187
- Immunology 123
Countries citing papers authored by Ribo Guo
This map shows the geographic impact of Ribo 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 Ribo Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ribo Guo more than expected).
Fields of papers citing papers by Ribo Guo
This network shows the impact of papers produced by Ribo 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 Ribo Guo. The network helps show where Ribo Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ribo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 286 | |
| 2 | 2001 | 243 | |
| 3 | 2003 | 161 | |
| 4 | 2011 | 86 | |
| 5 | 2004 | 62 | |
| 6 | 2013 | 49 | |
| 7 | 2000 | 46 | |
| 8 | 2003 | 42 | |
| 9 | 1998 | 40 | |
| 10 | 2000 | 39 | |
| 11 | 2002 | 32 | |
| 12 | 1999 | 28 | |
| 13 | 2001 | 18 | |
| 14 | 2002 | 15 | |
| 15 | 2003 | 10 | |
| 16 | 2007 | 8 | |
| 17 | 2003 | 8 | |
| 18 | Circular RNA circ-NT5C2 acts as a potential novel biomarker for prognosis of osteosarcoma | 2021 | 1 |
| 19 | 2025 | 0 |
About Ribo Guo
Ribo Guo is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Plant Science, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Tyrosine Phosphatases (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cell death mechanisms and regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Chemical Synthesis and Analysis (2 papers), Cancer Mechanisms and Therapy (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Toxicology (111 citations), Molecular Biology (855 citations), Oncology (240 citations), Organic Chemistry (187 citations) and Immunology (123 citations). Ribo Guo has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Dajun Yang, Shaomeng Wang, Peter P. Roller, Manchao Zhang, Bihua Li, York Tomita, Yan Ling, Xueliang Fang, Terrence R. Burke and Marc E. Lippman. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Cancer Letters, Biochemical Pharmacology and Biochemical and Biophysical Research Communications.
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.