Kaijun Di
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer-related cognitive impairment studies
- Brain Metastases and Treatment
Papers in
-
- Ubiquitin and proteasome pathways 8
- Mitochondrial Function and Pathology 4
- Genetics 13
- Glioma Diagnosis and Treatment 13
- Co-authors
- Daniela A. Bota (22 shared papers)Naomi Lomeli (9 shared papers)John F. Guzowski (2 shared papers)J Czerniawski (2 shared papers)Xing Gong (3 shared papers)Mark E. Linskey (1 shared paper)Yong Chuan Wong (2 shared papers)Mohit Trikha (2 shared papers)
- Journals
- Neuro-Oncology (6 papers)Cancer Research (4 papers)Oncogene (2 papers)Journal of Neuro-Oncology (2 papers)Experimental Neurology (2 papers)
- Partner nations
- United StatesHong KongRomania
In The Last Decade
Kaijun Di
23 papers receiving 631 citations
Peers
Comparison fields: 5 of 75
- Genetics 135
- Pulmonary and Respiratory Medicine 194
- Cancer Research 78
- Developmental Neuroscience 21
- Molecular Biology 316
Countries citing papers authored by Kaijun Di
This map shows the geographic impact of Kaijun Di'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 Kaijun Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Di more than expected).
Fields of papers citing papers by Kaijun Di
This network shows the impact of papers produced by Kaijun Di. 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 Kaijun Di. The network helps show where Kaijun Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Di, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2015 | 111 | |
| 3 | 2014 | 92 | |
| 4 | 2012 | 60 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 31 | |
| 7 | 2007 | 30 | |
| 8 | 2006 | 28 | |
| 9 | 2020 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2015 | 17 | |
| 13 | 2018 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2019 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2014 | 1 |
About Kaijun Di
Kaijun Di is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 26 papers that have together received 635 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related cognitive impairment studies (6 papers), Mitochondrial Function and Pathology (4 papers), Brain Metastases and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (135 citations), Pulmonary and Respiratory Medicine (194 citations), Cancer Research (78 citations), Developmental Neuroscience (21 citations) and Molecular Biology (316 citations). Kaijun Di has collaborated with scholars based in United States, Hong Kong and Romania. Frequent co-authors include Daniela A. Bota, Naomi Lomeli, John F. Guzowski, J Czerniawski, Xing Gong, Mark E. Linskey, Yong Chuan Wong, Mohit Trikha, G. Kenneth Lloyd and Francis Burrows. Their work appears in journals such as Neuro-Oncology, Cancer Research, Oncogene, Journal of Neuro-Oncology and Experimental Neurology.
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.