Zhan Yao
Impact in
- Oncology top 2%
- Colorectal Cancer Treatments and Studies
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Melanoma and MAPK Pathways 16
- PI3K/AKT/mTOR signaling in cancer 9
- Protein Kinase Regulation and GTPase Signaling 4
- Ubiquitin and proteasome pathways 4
- Oncology 12
- Cytokine Signaling Pathways and Interactions 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Neal Rosen (20 shared papers)Elisa de Stanchina (9 shared papers)David B. Solit (5 shared papers)Vanessa Rodrik-Outmezguine (6 shared papers)Neilawattie M. Torres (3 shared papers)Yijun Gao (4 shared papers)Anthony Tao (2 shared papers)Rona Yaeger (8 shared papers)
- Journals
- Cancer Research (8 papers)Cancer Discovery (4 papers)Nature (3 papers)Oncogene (3 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zhan Yao
36 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 94
- Oncology 1.2k
- Cancer Research 501
- Molecular Biology 2.1k
- Pathology and Forensic Medicine 549
- Pulmonary and Respiratory Medicine 521
Countries citing papers authored by Zhan Yao
This map shows the geographic impact of Zhan Yao'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 Zhan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan Yao more than expected).
Fields of papers citing papers by Zhan Yao
This network shows the impact of papers produced by Zhan Yao. 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 Zhan Yao. The network helps show where Zhan Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhan Yao, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 358 | |
| 2 | 2017 | 349 | |
| 3 | 2016 | 341 | |
| 4 | 2010 | 326 | |
| 5 | 2014 | 219 | |
| 6 | 2014 | 158 | |
| 7 | 2012 | 122 | |
| 8 | 2021 | 105 | |
| 9 | 2018 | 87 | |
| 10 | 2019 | 85 | |
| 11 | 2016 | 77 | |
| 12 | 2017 | 71 | |
| 13 | 2014 | 67 | |
| 14 | 2017 | 60 | |
| 15 | 2012 | 51 | |
| 16 | 2018 | 49 | |
| 17 | 2010 | 47 | |
| 18 | 2007 | 43 | |
| 19 | 2020 | 41 | |
| 20 | 2019 | 32 |
About Zhan Yao
Zhan Yao is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Cell Biology, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (16 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Cancer Mechanisms and Therapy (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Ubiquitin and proteasome pathways (4 papers), Computational Drug Discovery Methods (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (501 citations), Molecular Biology (2.1k citations), Pathology and Forensic Medicine (549 citations) and Pulmonary and Respiratory Medicine (521 citations). Zhan Yao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Neal Rosen, Elisa de Stanchina, David B. Solit, Vanessa Rodrik-Outmezguine, Neilawattie M. Torres, Yijun Gao, Anthony Tao, Rona Yaeger, Barry S. Taylor and Wenhua Li. Their work appears in journals such as Cancer Research, Cancer Discovery, Nature, Oncogene and Molecular Cancer Therapeutics.
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.