Dehai Che
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 3
- Oncology 7
- Cytokine Signaling Pathways and Interactions 3
- Cancer Cells and Metastasis 2
- Co-authors
- Jingyan Cao (10 shared papers)Lihua Shang (11 shared papers)Jing Shen (6 shared papers)Jin Shi (7 shared papers)Bo Pan (5 shared papers)Yan Yu (5 shared papers)Yan Yu (6 shared papers)Shoubo Cao (5 shared papers)
- Journals
- Oncotarget (2 papers)Biomarkers (1 paper)Scientific Reports (1 paper)Cell Death Discovery (1 paper)Pharmacognosy Magazine (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Dehai Che
19 papers receiving 812 citations
Peers
Comparison fields: 5 of 74
- Oncology 401
- Cancer Research 216
- Immunology 236
- Internal Medicine 16
- Molecular Biology 289
Countries citing papers authored by Dehai Che
This map shows the geographic impact of Dehai Che'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 Dehai Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehai Che more than expected).
Fields of papers citing papers by Dehai Che
This network shows the impact of papers produced by Dehai Che. 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 Dehai Che. The network helps show where Dehai Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehai Che, 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 | 2015 | 161 | |
| 2 | 2015 | 131 | |
| 3 | 2017 | 113 | |
| 4 | 2017 | 93 | |
| 5 | 2018 | 53 | |
| 6 | 2014 | 41 | |
| 7 | 2015 | 39 | |
| 8 | 2012 | 30 | |
| 9 | 2015 | 29 | |
| 10 | 2013 | 24 | |
| 11 | 2011 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2023 | 9 | |
| 15 | 2014 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 1 |
About Dehai Che
Dehai Che is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 19 papers that have together received 814 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (2 papers), Pleural and Pulmonary Diseases (2 papers), Medical Imaging and Pathology Studies (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Oncology (401 citations), Cancer Research (216 citations), Immunology (236 citations), Internal Medicine (16 citations) and Molecular Biology (289 citations). Dehai Che has collaborated with scholars based in China and South Korea. Frequent co-authors include Jingyan Cao, Lihua Shang, Jing Shen, Jin Shi, Bo Pan, Yan Yu, Yan Yu, Shoubo Cao, Qingwei Meng and Fang Liu. Their work appears in journals such as Oncotarget, Biomarkers, Scientific Reports, Cell Death Discovery and Pharmacognosy Magazine.
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.