Xiaorong Ran

599 total citations
8 papers, 428 citations indexed

About

Xiaorong Ran is a scholar working on Molecular Biology, Spectroscopy and Biological Psychiatry. According to data from OpenAlex, Xiaorong Ran has authored 8 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Biological Psychiatry. Recurrent topics in Xiaorong Ran's work include Metabolomics and Mass Spectrometry Studies (2 papers), Tryptophan and brain disorders (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Xiaorong Ran is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Tryptophan and brain disorders (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Xiaorong Ran collaborates with scholars based in China and United States. Xiaorong Ran's co-authors include Meng Nie, Zeping Hu, Jieli Hu, Ke Li, Huanhuan Pang, Shao Li, Xiangjun Meng, Ailong Huang, Quanxin Long and Bohong Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and Nanoscale.

In The Last Decade

Xiaorong Ran

8 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaorong Ran China	7	184	84	63	53	53	8	428
Monica Gulati India	13	133 0.7×	26 0.3×	19 0.3×	27 0.5×	29 0.5×	36	496
Muthusamy Ramesh India	13	201 1.1×	77 0.9×	38 0.6×	10 0.2×	35 0.7×	29	474
Youmei Peng China	13	169 0.9×	133 1.6×	14 0.2×	13 0.2×	63 1.2×	29	525
Thoufiqul Alam Riaz South Korea	9	156 0.8×	35 0.4×	28 0.4×	15 0.3×	71 1.3×	13	429
Paul Abraham France	7	129 0.7×	24 0.3×	34 0.5×	17 0.3×	29 0.5×	13	340
Abhai Kumar India	11	164 0.9×	16 0.2×	34 0.5×	47 0.9×	35 0.7×	34	531
Shizhen Zhao China	13	168 0.9×	107 1.3×	24 0.4×	8 0.2×	89 1.7×	30	547
Bushra Nabi India	14	177 1.0×	28 0.3×	31 0.5×	13 0.2×	11 0.2×	24	525
Yuki Morimoto Japan	12	230 1.3×	8 0.1×	40 0.6×	13 0.2×	113 2.1×	24	506
Xiaoli He China	13	124 0.7×	12 0.1×	35 0.6×	5 0.1×	26 0.5×	29	386

Countries citing papers authored by Xiaorong Ran

Since Specialization

Citations

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

Fields of papers citing papers by Xiaorong Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Ran

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

All Works

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8 of 8 papers shown

Zhang, Xueying, et al.. (2025). Investigating the molecular mechanism of purslane‑based vitiligo treatment using network pharmacology, molecular docking and in vitro analyses. Molecular Medicine Reports. 31(5). 1–14. 1 indexed citations

Xiao, Nan, Meng Nie, Huanhuan Pang, et al.. (2021). Integrated cytokine and metabolite analysis reveals immunometabolic reprogramming in COVID-19 patients with therapeutic implications. Nature Communications. 12(1). 1618–1618. 180 indexed citations

Zhang, Huizhen, Yue Gao, Jiahong Sun, et al.. (2017). Optimization of lipid extraction and analytical protocols for UHPLC-ESI-HRMS-based lipidomic analysis of adherent mammalian cancer cells. Analytical and Bioanalytical Chemistry. 409(22). 5349–5358. 48 indexed citations

Tang, Haiping, Lina Xu, Xiaorong Ran, et al.. (2016). Establishment of local searching methods for orbitrap-based high throughput metabolomics analysis. Talanta. 156-157. 163–171. 71 indexed citations

Zhuang, Xiaomei, et al.. (2016). Characterization of human metabolism and disposition of levo-tetrahydropalmatine: Qualitative and quantitative determination of oxidative and conjugated metabolites. Journal of Pharmaceutical and Biomedical Analysis. 128. 371–381. 16 indexed citations

Zhang, Huizhen, Yiming Jiang, Xiaorong Ran, et al.. (2016). Metabolic mapping of Schisandra sphenanthera extract and its active lignans using a metabolomic approach based on ultra high performance liquid chromatography with high‐resolution mass spectrometry. Journal of Separation Science. 40(2). 574–586. 14 indexed citations

Li, Tianjiao, Shuai Wang, Yongrui Bao, et al.. (2014). Metabolomics Coupled with Multivariate Data and Pathway Analysis on Potential Biomarkers in Gastric Ulcer and Intervention Effects of Corydalis yanhusuo Alkaloid. PLoS ONE. 9(1). e82499–e82499. 32 indexed citations

Chong, Hanbao, Peng Li, Xiang Ji, et al.. (2013). Design of an ultrasmall Au nanocluster–CeO2 mesoporous nanocomposite catalyst for nitrobenzene reduction. Nanoscale. 5(16). 7622–7622. 66 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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