Hao Ji

2.8k total citations · 1 hit paper
96 papers, 2.0k citations indexed

About

Hao Ji is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Hao Ji has authored 96 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 17 papers in Pharmacology and 16 papers in Immunology. Recurrent topics in Hao Ji's work include Pharmacological Effects of Natural Compounds (16 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Fungal and yeast genetics research (8 papers). Hao Ji is often cited by papers focused on Pharmacological Effects of Natural Compounds (16 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Fungal and yeast genetics research (8 papers). Hao Ji collaborates with scholars based in China, Uzbekistan and United States. Hao Ji's co-authors include Libo Jin, Da Sun, Jiangnan Yu, Ximing Xu, Michael Adu‐Frimpong, Elmurat Toreniyazov, Wei Wu, Qilong Wang, Bin Zhuge and Hong Zong and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Ji

96 papers receiving 2.0k citations

Hit Papers

White matter aging drives microglial diversity 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hao Ji China 26 820 319 301 269 229 96 2.0k
Xue Xia China 29 975 1.2× 142 0.4× 529 1.8× 172 0.6× 259 1.1× 116 2.6k
Jae‐Wook Oh South Korea 28 948 1.2× 606 1.9× 103 0.3× 289 1.1× 349 1.5× 106 2.8k
Hui Shi China 28 868 1.1× 275 0.9× 116 0.4× 274 1.0× 98 0.4× 116 2.3k
Shouying Du China 23 623 0.8× 131 0.4× 312 1.0× 95 0.4× 101 0.4× 73 1.4k
Tian Tian China 24 1.7k 2.1× 575 1.8× 174 0.6× 95 0.4× 207 0.9× 82 3.1k
Dariush Shanehbandi Iran 33 1.9k 2.3× 486 1.5× 243 0.8× 83 0.3× 131 0.6× 186 3.4k
Xueqin Wang China 29 938 1.1× 123 0.4× 579 1.9× 152 0.6× 320 1.4× 103 2.4k
Siwei Wang China 27 1.1k 1.3× 216 0.7× 203 0.7× 62 0.2× 141 0.6× 92 2.4k

Countries citing papers authored by Hao Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hao Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Ji. A scholar is included among the top collaborators of Hao Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Ji. Hao Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fang, Yimeng, Jiahui Ma, Pengyu Lei, et al.. (2023). Konjac Glucomannan: An Emerging Specialty Medical Food to Aid in the Treatment of Type 2 Diabetes Mellitus. Foods. 12(2). 363–363. 35 indexed citations
2.
Ji, Hao, Simon Besson‐Girard, Peter Androvic, et al.. (2023). High-Resolution RNA Sequencing from PFA-Fixed Microscopy Sections. Methods in molecular biology. 2616. 205–212. 1 indexed citations
3.
Zhao, Bin, Fang Fang, Yiqun Liao, et al.. (2023). Novel m7G-related lncRNA signature for predicting overall survival in patients with gastric cancer. BMC Bioinformatics. 24(1). 100–100. 4 indexed citations
4.
Chen, Haojie, Pengyu Lei, Hao Ji, et al.. (2023). Escherichia coli Nissle 1917 ghosts alleviate inflammatory bowel disease in zebrafish. Life Sciences. 329. 121956–121956. 20 indexed citations
5.
Androvic, Peter, Martina Schifferer, Ludovico Cantuti‐Castelvetri, et al.. (2023). Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury. Nature Communications. 14(1). 4115–4115. 34 indexed citations
6.
Yu, Long, Fuqiang Shao, Hao Ji, et al.. (2022). Visualizing γδ T cells by very late antigen-4-targeted positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 49(12). 4156–4170. 2 indexed citations
7.
Yu, Long, Hao Ji, Qingyao Liu, et al.. (2022). Development and Evaluation of a Peptide Heterodimeric Tracer Targeting CXCR4 and Integrin αvβ3 for Pancreatic Cancer Imaging. Pharmaceutics. 14(9). 1791–1791. 14 indexed citations
8.
Liu, Lu, Simon Besson‐Girard, Hao Ji, et al.. (2021). Dissociation of microdissected mouse brain tissue for artifact free single-cell RNA sequencing. STAR Protocols. 2(2). 100590–100590. 13 indexed citations
9.
Shao, Fuqiang, Yu Long, Hao Ji, et al.. (2021). Radionuclide-based molecular imaging allows CAR-T cellular visualization and therapeutic monitoring. Theranostics. 11(14). 6800–6817. 25 indexed citations
10.
Safaiyan, Shima, Simon Besson‐Girard, Tuğberk Kaya, et al.. (2021). White matter aging drives microglial diversity. Neuron. 109(7). 1100–1117.e10. 271 indexed citations breakdown →
11.
Wang, Qilong, Michael Adu‐Frimpong, Elmurat Toreniyazov, et al.. (2021). Enhanced oral bioavailability and anti‐hyperuricemic activity of liquiritin via a self‐nanoemulsifying drug delivery system. Journal of the Science of Food and Agriculture. 102(5). 2032–2040. 13 indexed citations
12.
Ji, Hao, et al.. (2020). Transcriptional profiling reveals molecular basis and the role of arginine in response to low-pH stress in Pichia kudriavzevii. Journal of Bioscience and Bioengineering. 130(6). 588–595. 8 indexed citations
14.
Tang, Dan, Ping Wan, Tian Qin, et al.. (2020). Multiple microRNAs regulate tacrolimus metabolism through CYP3A5. Pharmacological Research. 164. 105382–105382. 7 indexed citations
15.
Zeng, Guoming, Libo Jin, Haojie Chen, et al.. (2020). <p>Regulatory T Cells in Cancer Immunotherapy: Basic Research Outcomes and Clinical Directions</p>. Cancer Management and Research. Volume 12. 10411–10421. 18 indexed citations
16.
Guan, Changfei, et al.. (2019). Comparative transcriptomic analysis reveals genetic divergence and domestication genes in Diospyros. BMC Plant Biology. 19(1). 227–227. 18 indexed citations
17.
Wang, Qilong, Min Guo, Michael Adu‐Frimpong, et al.. (2019). Self-Micro-Emulsifying Controlled Release of Eugenol Pellets: Preparation, In vitro/In vivo Investigation in Beagle Dogs. AAPS PharmSciTech. 20(7). 284–284. 12 indexed citations
18.
Liu, Jian, Michael Adu‐Frimpong, Qiuyu Wei, et al.. (2019). Preparation, in vitro and in vivo evaluation of isoliquiritigenin-loaded TPGS modified proliposomes. International Journal of Pharmaceutics. 563. 53–62. 40 indexed citations
19.
Zhao, Yong, Hao Ji, Changhong Chen, & Zhaoyang Fan. (2011). Metal-insulator transition mechanism in VO2 under electric bias. Bulletin of the American Physical Society. 2011. 1 indexed citations
20.
Ji, Hao, et al.. (2010). Study on extraction and stability of Monascus pigments.. Zhongguo tiaoweipin. 86–89. 1 indexed citations

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.

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