Hao Ji
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
Papers in
- Pharmacology 16
- Pharmacological Effects of Natural Compounds 15
- Immunology 17
- Immune cells in cancer 5
- Co-authors
- Libo Jin (16 shared papers)Da Sun (15 shared papers)Michael Adu‐Frimpong (27 shared papers)Elmurat Toreniyazov (27 shared papers)Ximing Xu (25 shared papers)Jiangnan Yu (26 shared papers)Wei Wu (7 shared papers)Qilong Wang (23 shared papers)
- Journals
- Journal of Microencapsulation (5 papers)Pharmaceutics (3 papers)International Journal of Pharmaceutics (3 papers)Theranostics (3 papers)AAPS PharmSciTech (3 papers)
- Partner nations
- ChinaGhanaUzbekistan
In The Last Decade
Hao Ji
97 papers receiving 2.4k citations
Hao Ji's Hit Papers
Peers
Comparison fields: 5 of 144
- Neurology 313
- Pharmacology 199
- Pharmaceutical Science 131
- Developmental Neuroscience 69
- Immunology 329
Countries citing papers authored by Hao Ji
This map shows the geographic impact of Hao 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 Hao Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ji more than expected).
Fields of papers citing papers by Hao Ji
This network shows the impact of papers produced by Hao 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 Hao Ji. The network helps show where Hao Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | White matter aging drives microglial diversity Hit paper breakdown → | 2021 | 317 |
| 2 | 2019 | 103 | |
| 3 | 2023 | 90 | |
| 4 | 2023 | 78 | |
| 5 | 2021 | 72 | |
| 6 | 2020 | 68 | |
| 7 | 2022 | 59 | |
| 8 | 2011 | 56 | |
| 9 | 2019 | 52 | |
| 10 | 2016 | 50 | |
| 11 | 2020 | 46 | |
| 12 | 2023 | 44 | |
| 13 | 2014 | 43 | |
| 14 | 2019 | 42 | |
| 15 | 2023 | 39 | |
| 16 | 2024 | 38 | |
| 17 | 2019 | 38 | |
| 18 | 2020 | 37 | |
| 19 | 2021 | 34 | |
| 20 | 2018 | 33 |
About Hao Ji
Hao Ji is a scholar working on Pharmacology, Immunology, Pharmaceutical Science, Molecular Biology and Biotechnology, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (15 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (8 papers), Fungal and yeast genetics research (8 papers), Advancements in Transdermal Drug Delivery (7 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Ginseng Biological Effects and Applications (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Neurology (313 citations), Pharmacology (199 citations), Pharmaceutical Science (131 citations), Developmental Neuroscience (69 citations) and Immunology (329 citations). Hao Ji has collaborated with scholars based in China, Ghana and Uzbekistan. Frequent co-authors include Libo Jin, Da Sun, Michael Adu‐Frimpong, Elmurat Toreniyazov, Ximing Xu, Jiangnan Yu, Wei Wu, Qilong Wang, Xinyao Lu and Hong Zong. Their work appears in journals such as Journal of Microencapsulation, Pharmaceutics, International Journal of Pharmaceutics, Theranostics and AAPS PharmSciTech.
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.