Dehai Che
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Lung Cancer Research Studies
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Immune cells in cancer 5
-
- MicroRNA in disease regulation 2
- Co-authors
- Lihua Shang (11 shared papers)Jingyan Cao (10 shared papers)Yan Yu (6 shared papers)Jing Shen (6 shared papers)Shoubo Cao (5 shared papers)Fang Liu (3 shared papers)Qingwei Meng (3 shared papers)Jing Shen (3 shared papers)
- Journals
- Immunology Letters (1 paper)Journal of Cancer (1 paper)Cancer Management and Research (1 paper)Oncotarget (1 paper)Molecules (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Dehai Che
20 papers receiving 934 citations
Peers
Comparison fields: 5 of 71
- Oncology 332
- Immunology 196
- Cancer Research 103
- Internal Medicine 14
- Pulmonary and Respiratory Medicine 130
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 | 185 | |
| 2 | 2015 | 139 | |
| 3 | 2017 | 120 | |
| 4 | 2017 | 101 | |
| 5 | 2014 | 73 | |
| 6 | 2018 | 58 | |
| 7 | 2014 | 41 | |
| 8 | 2015 | 40 | |
| 9 | 2012 | 30 | |
| 10 | 2015 | 29 | |
| 11 | 2013 | 25 | |
| 12 | 2014 | 25 | |
| 13 | 2011 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2023 | 11 | |
| 16 | 2014 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Dehai Che
Dehai Che is a scholar working on Immunology, Cancer Research, Pulmonary and Respiratory Medicine, Internal Medicine and Oncology, having authored 20 papers that have together received 945 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), MicroRNA in disease regulation (2 papers), Medicinal Plant Research (2 papers), Cell death mechanisms and regulation (2 papers), Phytochemical Studies and Bioactivities (2 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Oncology (332 citations), Immunology (196 citations), Cancer Research (103 citations), Internal Medicine (14 citations) and Pulmonary and Respiratory Medicine (130 citations). Dehai Che has collaborated with scholars based in China and South Korea. Frequent co-authors include Lihua Shang, Jingyan Cao, Yan Yu, Jing Shen, Yan Yu, Shoubo Cao, Fang Liu, Qingwei Meng, Jing Shen and Fang Liu. Their work appears in journals such as Immunology Letters, Journal of Cancer, Cancer Management and Research, Oncotarget and Molecules.
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.