Sen Zhao
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Geriatrics and Gerontology top 5%
Papers in
-
- Congenital heart defects research 9
- Genomics and Phylogenetic Studies 6
- Genetics 30
- Connective tissue disorders research 17
- Genomics and Rare Diseases 8
- Co-authors
- Guoliang Jiang (9 shared papers)Nan Wu (35 shared papers)Qian Hao (6 shared papers)Rolf I. Skotheim (10 shared papers)Xiaolong Fu (5 shared papers)Kamran Shalchian‐Tabrizi (6 shared papers)Jian Gao (1 shared paper)Zhe Liang (3 shared papers)
- Journals
- The American Journal of Human Genetics (3 papers)Lung Cancer (3 papers)Tetrahedron Letters (3 papers)Genes (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Sen Zhao
118 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 417
- Geriatrics and Gerontology 69
- Molecular Biology 1.0k
- Pulmonary and Respiratory Medicine 430
- Oncology 354
Countries citing papers authored by Sen Zhao
This map shows the geographic impact of Sen Zhao'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 Sen Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Zhao more than expected).
Fields of papers citing papers by Sen Zhao
This network shows the impact of papers produced by Sen Zhao. 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 Sen Zhao. The network helps show where Sen Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Zhao, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2015 | 108 | |
| 3 | 2020 | 88 | |
| 4 | 2018 | 88 | |
| 5 | 2015 | 85 | |
| 6 | 2021 | 71 | |
| 7 | 1999 | 65 | |
| 8 | 2019 | 63 | |
| 9 | 2012 | 61 | |
| 10 | 2016 | 59 | |
| 11 | 2000 | 58 | |
| 12 | 2014 | 58 | |
| 13 | 2020 | 57 | |
| 14 | 2006 | 52 | |
| 15 | 2021 | 51 | |
| 16 | 2019 | 43 | |
| 17 | 2010 | 40 | |
| 18 | 2019 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2011 | 36 |
About Sen Zhao
Sen Zhao is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 131 papers that have together received 2.2k indexed citations. Recurring topics across this work include Connective tissue disorders research (17 papers), Cancer-related molecular mechanisms research (11 papers), Congenital heart defects research (9 papers), Genetic factors in colorectal cancer (8 papers), Genomics and Rare Diseases (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Cancer Research (417 citations), Geriatrics and Gerontology (69 citations), Molecular Biology (1.0k citations), Pulmonary and Respiratory Medicine (430 citations) and Oncology (354 citations). Sen Zhao has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Guoliang Jiang, Nan Wu, Qian Hao, Rolf I. Skotheim, Xiaolong Fu, Kamran Shalchian‐Tabrizi, Jian Gao, Zhe Liang, Trond S. Halstensen and Lijuan Wang. Their work appears in journals such as The American Journal of Human Genetics, Lung Cancer, Tetrahedron Letters, Genes and Scientific Reports.
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.