Zhao Cheng
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 4
- Surgery 18
- Esophageal Cancer Research and Treatment 9
- Esophageal and GI Pathology 6
- Co-authors
- Sachiko Ito (11 shared papers)Hongling Peng (24 shared papers)Naomi Nishio (8 shared papers)Xianming Fu (7 shared papers)Guangsen Zhang (13 shared papers)Ken‐ichi Isobe (8 shared papers)Yangzhao Zhou (4 shared papers)Xiao‐Bo Liao (4 shared papers)
In The Last Decade
Zhao Cheng
61 papers receiving 775 citations
Peers
Comparison fields: 5 of 91
- Genetics 111
- Aging 15
- Cancer Research 121
- Immunology 129
- Developmental Neuroscience 25
Countries citing papers authored by Zhao Cheng
This map shows the geographic impact of Zhao Cheng'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 Zhao Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Cheng more than expected).
Fields of papers citing papers by Zhao Cheng
This network shows the impact of papers produced by Zhao Cheng. 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 Zhao Cheng. The network helps show where Zhao Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhao Cheng, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 51 | |
| 2 | 2012 | 50 | |
| 3 | 2011 | 42 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 39 | |
| 6 | 2018 | 36 | |
| 7 | 2013 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2015 | 31 | |
| 10 | 2013 | 28 | |
| 11 | 2017 | 25 | |
| 12 | 2019 | 25 | |
| 13 | 2014 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2021 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2022 | 19 | |
| 18 | B-cell acute lymphoblastic leukemia-related microRNAs: uncovering their diverse and special roles. | 2021 | 17 |
| 19 | 2021 | 15 | |
| 20 | 2022 | 15 |
About Zhao Cheng
Zhao Cheng is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 65 papers that have together received 781 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (9 papers), Pluripotent Stem Cells Research (9 papers), Acute Myeloid Leukemia Research (6 papers), Esophageal and GI Pathology (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Genetics (111 citations), Aging (15 citations), Cancer Research (121 citations), Immunology (129 citations) and Developmental Neuroscience (25 citations). Zhao Cheng has collaborated with scholars based in China, Japan and Sweden. Frequent co-authors include Sachiko Ito, Hongling Peng, Naomi Nishio, Xianming Fu, Guangsen Zhang, Ken‐ichi Isobe, Yangzhao Zhou, Xiao‐Bo Liao, Xinmin Zhou and Wang Zh. Their work appears in journals such as Cell Death and Disease, Annals of Surgical Oncology, BioMed Research International, New Biotechnology and Annals of Hematology.
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.