Xiangming Ji

1.0k total citations
22 papers, 684 citations indexed

About

Xiangming Ji is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Xiangming Ji has authored 22 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Physiology. Recurrent topics in Xiangming Ji's work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Neonatal Respiratory Health Research (3 papers). Xiangming Ji is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Neonatal Respiratory Health Research (3 papers). Xiangming Ji collaborates with scholars based in United States, China and Germany. Xiangming Ji's co-authors include Desiree Wanders, Pierre P. Massion, Megan D. Hoeksema, S.M. Jamshedur Rahman, Bradford K. Harris, Rosana Eisenberg, Yong Zou, Jun Qian, Peter J. Siska and Jeffrey C. Rathmell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Xiangming Ji

22 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangming Ji United States 12 422 231 208 75 69 22 684
Bing Wei China 15 408 1.0× 283 1.2× 77 0.4× 47 0.6× 74 1.1× 33 622
P. Kölle Germany 9 557 1.3× 237 1.0× 299 1.4× 47 0.6× 146 2.1× 14 925
Shilpa R. Nagarajan Australia 8 347 0.8× 316 1.4× 91 0.4× 58 0.8× 60 0.9× 14 599
Lisa A. Vettore United Kingdom 6 342 0.8× 246 1.1× 63 0.3× 32 0.4× 46 0.7× 9 548
Elisa N.D. Palladino United States 10 284 0.7× 134 0.6× 65 0.3× 100 1.3× 71 1.0× 13 536
Emma E. Ramsay Australia 12 331 0.8× 121 0.5× 115 0.6× 133 1.8× 41 0.6× 13 731
Linhua Lan China 17 502 1.2× 205 0.9× 103 0.5× 34 0.5× 23 0.3× 39 749
Valerio Ciccone Italy 16 242 0.6× 128 0.6× 72 0.3× 60 0.8× 71 1.0× 44 618
Linlin Zhang China 16 425 1.0× 150 0.6× 71 0.3× 30 0.4× 22 0.3× 37 624

Countries citing papers authored by Xiangming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiangming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangming Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangming Ji. A scholar is included among the top collaborators of Xiangming 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 Xiangming Ji. Xiangming 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.
Feng, Li, et al.. (2025). Tea Saponins: a Novel Stabilizer for Enhancing the Oral Bioavailability of Albendazole Nanocrystals. AAPS PharmSciTech. 26(1). 22–22. 1 indexed citations
2.
Han, Hongwei, et al.. (2024). Inhalation of nicotine-containing electronic cigarette vapor exacerbates the features of COPD by inducing ferroptosis in βENaC-overexpressing mice. Frontiers in Immunology. 15. 1429946–1429946. 2 indexed citations
3.
Ji, Xiangming, et al.. (2024). Akkermansia muciniphila for the Prevention of Type 2 Diabetes and Obesity: A Meta-Analysis of Animal Studies. Nutrients. 16(20). 3440–3440. 9 indexed citations
4.
Ji, Xiangming & Hong‐Long Ji. (2024). Metabolic signatures of acute respiratory distress syndrome: COVID versus non-COVID. American Journal of Physiology-Lung Cellular and Molecular Physiology. 326(5). L596–L603. 4 indexed citations
5.
Zhu, Wenjun, et al.. (2022). Characterization of metabolites and biomarkers for the probiotic effects of Clostridium cochlearium on high-fat diet-induced obese C57BL/6 mice. European Journal of Nutrition. 61(4). 2217–2229. 9 indexed citations
6.
7.
Gong, Jiannan, Abigail L. Peterson, Jennifer F. Carr, et al.. (2021). The pentose phosphate pathway mediates hyperoxia-induced lung vascular dysgenesis and alveolar simplification in neonates. JCI Insight. 6(5). 20 indexed citations
8.
Han, Hongwei, Hongwei Yao, Jenny J. Yang, et al.. (2021). Electronic Cigarette Exposure Enhances Lung Inflammatory and Fibrotic Responses in COPD Mice. Frontiers in Pharmacology. 12. 726586–726586. 25 indexed citations
9.
Ji, Xiangming, et al.. (2021). Tocotrienols: Dietary Supplements for Chronic Obstructive Pulmonary Disease. Antioxidants. 10(6). 883–883. 11 indexed citations
10.
Wang, Qixin, Xiangming Ji, & Irfan Rahman. (2021). Dysregulated Metabolites Serve as Novel Biomarkers for Metabolic Diseases Caused by E-Cigarette Vaping and Cigarette Smoking. Metabolites. 11(6). 345–345. 18 indexed citations
11.
Kaur, Gagandeep, Xiangming Ji, & Irfan Rahman. (2021). SARS-CoV2 Infection Alters Tryptophan Catabolism and Phospholipid Metabolism. Metabolites. 11(10). 659–659. 14 indexed citations
12.
Liu, Ding, Shiying Zhang, Shuaishuai Wang, et al.. (2020). Identification of lipid biomarker from serum in patients with chronic obstructive pulmonary disease. Respiratory Research. 21(1). 242–242. 28 indexed citations
13.
Wanders, Desiree, et al.. (2020). Methionine Restriction and Cancer Biology. Nutrients. 12(3). 684–684. 125 indexed citations
14.
Yao, Hongwei, Jiannan Gong, Xuexin Lu, et al.. (2020). Pentose Phosphate Pathway Controls Endothelial Cell Proliferation During Hyperoxic Lung Injury in Neonates. A4663–A4663. 1 indexed citations
15.
16.
Mo, Huanbiao, et al.. (2020). Tocotrienols in Bone Protection: Evidence from Preclinical Studies. SHILAP Revista de lepidopterología. 1(3). 217–225. 8 indexed citations
17.
Zhang, Shiying, et al.. (2020). Ability of γ-tocotrienol to Mitigate Inflammation and Preserve Lung Function in a Model of E-Cigarette Induced Chronic Obstructive Pulmonary Disease. Current Developments in Nutrition. 4. nzaa045_070–nzaa045_070. 3 indexed citations
18.
Ji, Xiangming, Jun Qian, S.M. Jamshedur Rahman, et al.. (2018). xCT (SLC7A11)-mediated metabolic reprogramming promotes non-small cell lung cancer progression. Oncogene. 37(36). 5007–5019. 253 indexed citations
19.
Siska, Peter J., Xiangming Ji, Megan D. Hoeksema, et al.. (2016). Fluorescence-based measurement of cystine uptake through xCT shows requirement for ROS detoxification in activated lymphocytes. Journal of Immunological Methods. 438. 51–58. 45 indexed citations
20.
Qian, Jun, Mohamed Hassanein, Megan D. Hoeksema, et al.. (2015). The RNA binding protein FXR1 is a new driver in the 3q26-29 amplicon and predicts poor prognosis in human cancers. Proceedings of the National Academy of Sciences. 112(11). 3469–3474. 76 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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