Junli Ding
Impact in
- Immunology top 10%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- Oncology 14
- Cancer Immunotherapy and Biomarkers 7
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Chaoying Liu (8 shared papers)Tingyan Ruan (3 shared papers)Ping Xie (1 shared paper)Xiaoyan Shi (1 shared paper)Wei Huang (1 shared paper)Fangmei An (4 shared papers)Jie Mei (12 shared papers)Min He (2 shared papers)
- Journals
- Pancreas (3 papers)Frontiers in Immunology (2 papers)Advanced Science (2 papers)International Immunopharmacology (2 papers)Inflammation Research (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Junli Ding
32 papers receiving 742 citations
Peers
Comparison fields: 5 of 73
- Immunology 330
- Cancer Research 211
- Oncology 278
- Molecular Biology 354
- Neurology 42
Countries citing papers authored by Junli Ding
This map shows the geographic impact of Junli Ding'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 Junli Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Ding more than expected).
Fields of papers citing papers by Junli Ding
This network shows the impact of papers produced by Junli Ding. 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 Junli Ding. The network helps show where Junli Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Ding, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 371 | |
| 2 | Toll-like receptor 4/nuclear factor-kappa B signaling detected in brain after early subarachnoid hemorrhage. | 2009 | 66 |
| 3 | 2017 | 57 | |
| 4 | 2020 | 37 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2009 | 10 | |
| 18 | 2024 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2024 | 7 |
About Junli Ding
Junli Ding is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 752 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (6 papers), Circular RNAs in diseases (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Pancreatitis Pathology and Treatment (4 papers), MicroRNA in disease regulation (4 papers), Ferroptosis and cancer prognosis (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Immunology (330 citations), Cancer Research (211 citations), Oncology (278 citations), Molecular Biology (354 citations) and Neurology (42 citations). Junli Ding has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Chaoying Liu, Tingyan Ruan, Ping Xie, Xiaoyan Shi, Wei Huang, Fangmei An, Jie Mei, Min He, Qiang Zhan and Bowen Cai. Their work appears in journals such as Pancreas, Frontiers in Immunology, Advanced Science, International Immunopharmacology and Inflammation Research.
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.