Nan Ji
- Genetics top 2%
- Glioma Diagnosis and Treatment 49
- Hepatology top 5%
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment 16
- Cancer Research top 10%
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- Lymphoma Diagnosis and Treatment 17
- Trigeminal Neuralgia and Treatments 9
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- Radiomics and Machine Learning in Medical Imaging 14
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- Nanoplatforms for cancer theranostics 10
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- CAR-T cell therapy research 9
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- Immunotherapy and Immune Responses 9
- Cited by
- GeneticsHepatologyNeurology
- Journals
- Frontiers in Oncology (9 papers)Journal of Neuro-Oncology (5 papers)World Neurosurgery (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Nan Ji
173 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 161
- Genetics 420
- Hepatology 178
- Neurology 300
- Cancer Research 297
- Pathology and Forensic Medicine 286
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 29 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 29 | |
| 19 | IL6R inhibits viability and apoptosis of pancreatic beta-cells in type 2 diabetes mellitus via regulation by miR-22 of the JAK/STAT signaling pathway | 2019 | 1 |
| 20 | 2014 | 13 |
About Nan Ji
Nan Ji is a scholar working on Genetics, Neurology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 193 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (49 papers), Lymphoma Diagnosis and Treatment (17 papers), CNS Lymphoma Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Nanoplatforms for cancer theranostics (10 papers), CAR-T cell therapy research (9 papers), Trigeminal Neuralgia and Treatments (9 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Genetics (420 citations), Hepatology (178 citations), Neurology (300 citations), Cancer Research (297 citations) and Pathology and Forensic Medicine (286 citations). Nan Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fang Luo, Liwei Zhang, Chalet Tan, Yilong Ren, Haiyang Yu, Yusheng Li, Tao Wang, Chein‐Shan Liu, Xia Gao and Shengli Bi. Their work appears in journals such as Frontiers in Oncology, Journal of Neuro-Oncology, World Neurosurgery, Frontiers in Immunology and Frontiers in 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.