Xiaoli Ji

498 total citations · 1 hit paper
14 papers, 324 citations indexed

About

Xiaoli Ji is a scholar working on Genetics, Oncology and Periodontics. According to data from OpenAlex, Xiaoli Ji has authored 14 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Oncology and 4 papers in Periodontics. Recurrent topics in Xiaoli Ji's work include Mesenchymal stem cell research (6 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoli Ji is often cited by papers focused on Mesenchymal stem cell research (6 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoli Ji collaborates with scholars based in China, Netherlands and United States. Xiaoli Ji's co-authors include Tianyong Sun, Jun Mi, Chenxi Ma, Ai Peng, Wei Li, Chengzhe Yang, Song Shen, Qiang Feng, Hongwei Liu and Qiang Feng and has published in prestigious journals such as Diabetes Care, Carbon and Molecular Cancer.

In The Last Decade

Xiaoli Ji

11 papers receiving 323 citations

Hit Papers

Pan-cancer spatially resolved single-cell analysis reveal... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Ji China 8 166 104 103 66 62 14 324
Xiaodan Fang China 10 177 1.1× 78 0.8× 133 1.3× 17 0.3× 55 0.9× 18 298
Hye-Joa Oh South Korea 8 131 0.8× 89 0.9× 40 0.4× 75 1.1× 158 2.5× 9 395
Nayera Hamdy Egypt 11 142 0.9× 88 0.8× 33 0.3× 91 1.4× 44 0.7× 25 322
Jikai Yin China 12 163 1.0× 41 0.4× 91 0.9× 31 0.5× 27 0.4× 24 351
Mei Qi Kwa Australia 9 170 1.0× 120 1.2× 95 0.9× 13 0.2× 118 1.9× 11 358
Abhijit G. Banerjee United States 9 163 1.0× 53 0.5× 61 0.6× 24 0.4× 29 0.5× 15 317
Maria Teresa Palano Italy 11 121 0.7× 82 0.8× 31 0.3× 24 0.4× 87 1.4× 17 264
Enrica Vescarelli Italy 12 153 0.9× 63 0.6× 49 0.5× 43 0.7× 31 0.5× 17 345
Koji Nonaka Japan 7 340 2.0× 94 0.9× 31 0.3× 17 0.3× 39 0.6× 7 401
Fujia Ren China 7 184 1.1× 46 0.4× 78 0.8× 12 0.2× 83 1.3× 12 322

Countries citing papers authored by Xiaoli Ji

Since Specialization
Citations

This map shows the geographic impact of Xiaoli 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 Xiaoli Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ji more than expected).

Fields of papers citing papers by Xiaoli Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoli 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 Xiaoli Ji. The network helps show where Xiaoli Ji may publish in the future.

Co-authorship network of co-authors of Xiaoli Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Ji. A scholar is included among the top collaborators of Xiaoli 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 Xiaoli Ji. Xiaoli Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Feng, Ning, Shulin Li, Xiaoqian Liu, et al.. (2025). Deep processing of Pluronics: Production of surface-active carbon dots and application in photoluminescent soft materials. Carbon. 234. 119993–119993.
2.
Ji, Xiaoli, et al.. (2025). Cognitive decline before and after incident chronic respiratory disease. GeroScience. 47(6). 6699–6710.
4.
5.
Ma, Chenxi, Chengzhe Yang, Ai Peng, et al.. (2023). Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment. Molecular Cancer. 22(1). 170–170. 144 indexed citations breakdown →
6.
Ji, Xiaoli, et al.. (2022). Trajectories of Cognition and Daily Functioning Before and After Incident Diabetes. Diabetes Care. 46(1). 75–82. 8 indexed citations
7.
Ji, Xiaoli, Tianyong Sun, Shang Xie, et al.. (2021). Upregulation of CPNE7 in mesenchymal stromal cells promotes oral squamous cell carcinoma metastasis through the NF-κB pathway. Cell Death Discovery. 7(1). 294–294. 13 indexed citations
9.
Li, Wenwen, Ying Han, Zhongfang Zhao, et al.. (2019). Oral mucosal mesenchymal stem cell‑derived exosomes: A potential therapeutic target in oral premalignant lesions. International Journal of Oncology. 54(5). 1567–1578. 39 indexed citations
10.
11.
Zhao, Zhongfang, Ying Han, Zhihui Zhang, et al.. (2018). Total glucosides of paeony improves the immunomodulatory capacity of MSCs partially via the miR-124/STAT3 pathway in oral lichen planus. Biomedicine & Pharmacotherapy. 105. 151–158. 26 indexed citations
12.
Ji, Xiaoli, Zhihui Zhang, Dongdong Mu, et al.. (2016). Mesenchymal stem cells derived from normal gingival tissue inhibit the proliferation of oral cancer cells in vitro and in vivo. International Journal of Oncology. 49(5). 2011–2022. 34 indexed citations
13.
Zhang, Zhihui, et al.. (2015). Impairment of mesenchymal stem cells derived from oral leukoplakia.. PubMed. 8(9). 10026–37. 4 indexed citations
14.
Zhang, Zhihui, Ying Han, Xin Jin, et al.. (2014). Interferon‐γ regulates the function of mesenchymal stem cells from oral lichen planus via indoleamine 2,3‐dioxygenase activity. Journal of Oral Pathology and Medicine. 44(1). 15–27. 19 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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