Runmin Wei

3.8k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Runmin Wei is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Runmin Wei has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Runmin Wei's work include Metabolomics and Mass Spectrometry Studies (11 papers), Gut microbiota and health (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Runmin Wei is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Gut microbiota and health (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Runmin Wei collaborates with scholars based in United States, China and Switzerland. Runmin Wei's co-authors include Jingye Wang, Tianlu Chen, Yan Ni, Mingming Su, Wei Jia, Shaoqiu Chen, Guoxiang Xie, Cynthia Rajani, Wenlian Chen and Ping Liu and has published in prestigious journals such as Nature Biotechnology, Analytical Chemistry and Cancer Research.

In The Last Decade

Runmin Wei

22 papers receiving 1.4k citations

Hit Papers

Missing Value Imputation Approach for Mass Spectrometry-b... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
    2018 441 citations Runmin Wei, Jingye Wang et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runmin Wei United States 16 830 234 207 119 118 22 1.4k
Laurence Le Moyec France 20 838 1.0× 203 0.9× 243 1.2× 59 0.5× 67 0.6× 59 1.5k
Lars Kuepfer Germany 26 1.6k 1.9× 222 0.9× 104 0.5× 244 2.1× 103 0.9× 56 2.7k
Natalie Homer United Kingdom 23 795 1.0× 89 0.4× 243 1.2× 95 0.8× 119 1.0× 115 2.3k
Animesh Acharjee United Kingdom 25 722 0.9× 269 1.1× 142 0.7× 179 1.5× 34 0.3× 96 1.7k
Xiaoyu Zhang China 25 787 0.9× 403 1.7× 179 0.9× 67 0.6× 34 0.3× 100 1.6k
Fenfen Ji Hong Kong 20 905 1.1× 243 1.0× 206 1.0× 247 2.1× 116 1.0× 40 1.7k
Davide Degli Esposti France 25 841 1.0× 314 1.3× 87 0.4× 135 1.1× 124 1.1× 71 1.9k
G. Hanton France 16 805 1.0× 133 0.6× 183 0.9× 66 0.6× 121 1.0× 41 1.4k
Sang Jun Yoon South Korea 24 761 0.9× 427 1.8× 276 1.3× 114 1.0× 36 0.3× 59 1.4k
Shucha Zhang United States 19 1.4k 1.7× 270 1.2× 397 1.9× 104 0.9× 393 3.3× 25 2.0k

Countries citing papers authored by Runmin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Runmin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runmin Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Runmin Wei. A scholar is included among the top collaborators of Runmin Wei 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 Runmin Wei. Runmin Wei 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.
Wei, Runmin, Siyuan He, Shanshan Bai, et al.. (2022). Spatial charting of single-cell transcriptomes in tissues. Nature Biotechnology. 40(8). 1190–1199. 123 indexed citations
2.
Wei, Runmin & Jingye Wang. (2021). Left-Censored Missing Value Imputation Approach for MS-Based Proteomics Data with GSimp. Methods in molecular biology. 2426. 119–129. 2 indexed citations
3.
Wang, Jingye, Runmin Wei, Guoxiang Xie, et al.. (2020). Peripheral serum metabolomic profiles inform central cognitive impairment. Scientific Reports. 10(1). 14059–14059. 26 indexed citations
4.
Xie, Guoxiang, Xiaoning Wang, Runmin Wei, et al.. (2020). Serum metabolite profiles are associated with the presence of advanced liver fibrosis in Chinese patients with chronic hepatitis B viral infection. BMC Medicine. 18(1). 144–144. 34 indexed citations
5.
Kwee, Sandi A., Maarit Tiirikainen, Jared D. Acoba, et al.. (2019). Transcriptomics Associates Molecular Features with 18F-Fluorocholine PET/CT Imaging Phenotype and Its Potential Relationship to Survival in Hepatocellular Carcinoma. Cancer Research. 79(7). 1696–1704. 11 indexed citations
6.
Wei, Runmin, Jingye Wang, Xiaoning Wang, et al.. (2018). Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning. EBioMedicine. 35. 124–132. 71 indexed citations
7.
Wei, Runmin, Jingye Wang, Mingming Su, et al.. (2018). Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data. Scientific Reports. 8(1). 663–663. 441 indexed citations breakdown →
8.
9.
You, Yijun, Dandan Liang, Runmin Wei, et al.. (2018). Evaluation of metabolite-microbe correlation detection methods. Analytical Biochemistry. 567. 106–111. 28 indexed citations
10.
Wei, Runmin, et al.. (2018). GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies. PLoS Computational Biology. 14(1). e1005973–e1005973. 117 indexed citations
11.
Chen, Shaoqiu, Runmin Wei, Xie Xie, et al.. (2018). Metabolome and gut microbiota variation with long-term intake of Panax ginseng extracts on rats. Food & Function. 9(6). 3547–3556. 54 indexed citations
12.
Wei, Runmin, et al.. (2018). Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications [R package multiROC version 1.1.1]. 2 indexed citations
13.
Yin, Shanshan, Mingming Su, Guoxiang Xie, et al.. (2017). Factors affecting separation and detection of bile acids by liquid chromatography coupled with mass spectrometry in negative mode. Analytical and Bioanalytical Chemistry. 409(23). 5533–5545. 39 indexed citations
14.
Zhao, Linjing, Yan Ni, Mingming Su, et al.. (2017). High Throughput and Quantitative Measurement of Microbial Metabolome by Gas Chromatography/Mass Spectrometry Using Automated Alkyl Chloroformate Derivatization. Analytical Chemistry. 89(10). 5565–5577. 109 indexed citations
15.
Zhao, Linjing, Aihua Zhao, Tianlu Chen, et al.. (2016). Global and Targeted Metabolomics Evidence of the Protective Effect of Chinese Patent Medicine Jinkui Shenqi Pill on Adrenal Insufficiency after Acute Glucocorticoid Withdrawal in Rats. Journal of Proteome Research. 15(7). 2327–2336. 21 indexed citations
16.
Zhao, Linjing, Yan Ni, Haoyong Yu, et al.. (2016). Serum stearic acid/palmitic acid ratio as a potential predictor of diabetes remission after Roux‐en‐Y gastric bypass in obesity. The FASEB Journal. 31(4). 1449–1460. 29 indexed citations
17.
Xie, Guoxiang, Xiaoning Wang, Ping Liu, et al.. (2016). Distinctly altered gut microbiota in the progression of liver disease. Oncotarget. 7(15). 19355–19366. 177 indexed citations
18.
Wei, Runmin, Immaculata De Vivo, Sijia Huang, et al.. (2016). Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer. Oncotarget. 7(34). 55249–55263. 10 indexed citations
19.
Zhang, Yinan, Fen Li, Fengjie Huang, et al.. (2014). Metabolomics analysis reveals variation in Schisandra chinensis metabolites from different origins. Journal of Separation Science. 37(6). 731–737. 24 indexed citations
20.
Zhao, Linjing, Hongbing Wu, Mingfeng Qiu, et al.. (2013). Metabolic Signatures of KidneyYangDeficiency Syndrome and Protective Effects of Two Herbal Extracts in Rats Using GC/TOF MS. Evidence-based Complementary and Alternative Medicine. 2013. 1–10. 35 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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