Nan Ji
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 39
- Glioma Diagnosis and Treatment 35
- Co-authors
- Liwei Zhang (23 shared papers)Chalet Tan (5 shared papers)Fang Luo (14 shared papers)Haiyang Yu (3 shared papers)Yusheng Li (2 shared papers)Yilong Ren (4 shared papers)Shengli Bi (1 shared paper)Chia-Ting Su (1 shared paper)
- Journals
- Frontiers in Oncology (9 papers)Journal of Neuro-Oncology (5 papers)Journal of Pain Research (4 papers)Blood (4 papers)Frontiers in Immunology (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Nan Ji
174 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 152
- Genetics 347
- Cancer Research 256
- Hepatology 115
- Neurology 219
- Pathology and Forensic Medicine 213
Countries citing papers authored by Nan Ji
This map shows the geographic impact of Nan Ji'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 Nan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Ji more than expected).
Fields of papers citing papers by Nan Ji
This network shows the impact of papers produced by Nan Ji. 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 Nan Ji. The network helps show where Nan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Ji, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 195 | |
| 2 | 2019 | 115 | |
| 3 | 2018 | 115 | |
| 4 | 2005 | 74 | |
| 5 | 2015 | 72 | |
| 6 | 2022 | 70 | |
| 7 | 2017 | 66 | |
| 8 | 2018 | 61 | |
| 9 | 2015 | 56 | |
| 10 | 2014 | 53 | |
| 11 | 2021 | 52 | |
| 12 | 2021 | 52 | |
| 13 | 2014 | 50 | |
| 14 | 2017 | 44 | |
| 15 | 2013 | 43 | |
| 16 | 2003 | 40 | |
| 17 | 2017 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2022 | 34 | |
| 20 | 2023 | 33 |
About Nan Ji
Nan Ji is a scholar working on Genetics, Molecular Biology, Neurology, Pathology and Forensic Medicine and Oncology, having authored 194 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (35 papers), CNS Lymphoma Diagnosis and Treatment (15 papers), Lymphoma Diagnosis and Treatment (9 papers), Trigeminal Neuralgia and Treatments (8 papers), Nanoplatforms for cancer theranostics (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Immunotherapy and Immune Responses (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Genetics (347 citations), Cancer Research (256 citations), Hepatology (115 citations), Neurology (219 citations) and Pathology and Forensic Medicine (213 citations). Nan Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liwei Zhang, Chalet Tan, Fang Luo, Haiyang Yu, Yusheng Li, Yilong Ren, Shengli Bi, Chia-Ting Su, Xiaolan Qi and Mengru Zhan. Their work appears in journals such as Frontiers in Oncology, Journal of Neuro-Oncology, Journal of Pain Research, Blood and Frontiers in Immunology.
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.