Mingming Su

9.5k total citations · 1 hit paper
126 papers, 6.3k citations indexed

About

Mingming Su is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Mingming Su has authored 126 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 18 papers in Physiology and 15 papers in Oncology. Recurrent topics in Mingming Su's work include Metabolomics and Mass Spectrometry Studies (42 papers), Diet and metabolism studies (14 papers) and Liver Disease Diagnosis and Treatment (13 papers). Mingming Su is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (42 papers), Diet and metabolism studies (14 papers) and Liver Disease Diagnosis and Treatment (13 papers). Mingming Su collaborates with scholars based in China, United States and Switzerland. Mingming Su's co-authors include Wei Jia, Yunping Qiu, Yan Ni, Aihua Zhao, Guoxiang Xie, Tianlu Chen, Xiaojiao Zheng, Xiaoyan Wang, Runmin Wei and Lisa X. Xu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Mingming Su

119 papers receiving 6.2k 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 Mingming Su, Tianlu Chen 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
Mingming Su China 42 3.9k 1.0k 967 643 603 126 6.3k
Yunping Qiu China 47 5.0k 1.3× 1.2k 1.2× 858 0.9× 640 1.0× 1.1k 1.7× 137 7.3k
Aihua Zhao China 48 4.3k 1.1× 1.5k 1.5× 1.1k 1.1× 757 1.2× 656 1.1× 132 6.9k
Tianlu Chen China 37 3.2k 0.8× 966 0.9× 842 0.9× 489 0.8× 616 1.0× 102 5.2k
Jun Yang United States 53 3.5k 0.9× 915 0.9× 616 0.6× 337 0.5× 602 1.0× 286 9.3k
Ben van Ommen Netherlands 53 5.0k 1.3× 1.8k 1.7× 719 0.7× 452 0.7× 772 1.3× 192 9.2k
G. A. Nagana Gowda United States 43 4.8k 1.2× 808 0.8× 697 0.7× 445 0.7× 691 1.1× 149 7.3k
Caroline H. Johnson United States 39 4.3k 1.1× 669 0.7× 464 0.5× 578 0.9× 783 1.3× 107 6.8k
Peiyuan Yin China 42 4.1k 1.1× 589 0.6× 970 1.0× 359 0.6× 1.1k 1.8× 98 6.0k
Kiyotaka Nakagawa Japan 50 3.7k 1.0× 1.3k 1.3× 676 0.7× 297 0.5× 774 1.3× 319 9.9k
Craig E. Wheelock Sweden 53 3.5k 0.9× 1.4k 1.3× 490 0.5× 329 0.5× 654 1.1× 232 8.5k

Countries citing papers authored by Mingming Su

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Mingming Su. A scholar is included among the top collaborators of Mingming Su 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 Mingming Su. Mingming Su 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
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2.
Wu, Kevin Y., Mingming Su, Yeonsu Kim, et al.. (2025). Wearable biosensors: A comprehensive overview. Progress in molecular biology and translational science. 215. 101–154.
3.
Li, Guofeng, et al.. (2024). Scutellaria baicalensis Polysaccharide-Mediated Green Synthesis of Smaller Silver Nanoparticles with Enhanced Antimicrobial and Antibiofilm Activity. ACS Applied Materials & Interfaces. 16(34). 45289–45306. 6 indexed citations
4.
5.
Zhou, Chaoxi, Guanglin Wang, Yan Liu, et al.. (2023). Heterogeneity of PD-L1 expression and CD8 lymphocyte infiltration in metastatic colorectal cancer and their prognostic significance. Heliyon. 9(2). e13048–e13048. 6 indexed citations
6.
Sun, Dan‐Qin, Ling Jiang, Liang‐Jie Tang, et al.. (2023). Secondary bile acids improve risk prediction for non‐invasive identification of mild liver fibrosis in nonalcoholic fatty liver disease. Alimentary Pharmacology & Therapeutics. 57(8). 872–885. 25 indexed citations
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Ning, Yongling, Jun Ding, Xiao Sun, et al.. (2020). HDAC9 deficiency promotes tumor progression by decreasing the CD8+ dendritic cell infiltration of the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 8(1). e000529–e000529. 30 indexed citations
9.
Su, Mingming, et al.. (2019). Key genes and pathways in tumor‐educated dendritic cells by bioinformatical analysis. Microbiology and Immunology. 64(1). 63–71. 7 indexed citations
10.
Bononi, Angela, Haining Yang, Carlotta Giorgi, et al.. (2017). Germline BAP1 mutations induce a Warburg effect. Cell Death and Differentiation. 24(10). 1694–1704. 84 indexed citations
11.
Huang, Madelyn C., Christelle Douillet, Mingming Su, et al.. (2016). Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure. Archives of Toxicology. 91(1). 189–202. 22 indexed citations
12.
Su, Mingming. (2015). Progress of the research and application of fish anesthetics MS-222 and eugenolon in fresh seafoods transportation. Shipin anquan zhiliang jiance xuebao. 6(1). 25–29. 1 indexed citations
13.
Ni, Yan, Linjing Zhao, Haoyong Yu, et al.. (2015). Circulating Unsaturated Fatty Acids Delineate the Metabolic Status of Obese Individuals. EBioMedicine. 2(10). 1513–1522. 113 indexed citations
14.
Ling, Yunchao, Zhong Jin, Mingming Su, et al.. (2014). VCGDB: a dynamic genome database of the Chinese population. BMC Genomics. 15(1). 265–265. 8 indexed citations
15.
Nieman, David C., Nicholas D. Gillitt, Fuxia Jin, et al.. (2012). Chia Seed Supplementation and Disease Risk Factors in Overweight Women: A Metabolomics Investigation. The Journal of Alternative and Complementary Medicine. 18(7). 700–708. 77 indexed citations
16.
Zhao, Yan, Wei Jia, Mingming Su, Yunping Qiu, & Xingpeng Wang. (2012). Novel biomarkers of hyperlipidemic acute pancreatitis: metabolomic identification. Asian Biomedicine. 6(5). 765–769. 6 indexed citations
17.
Qi, Ying, Pin Li, Yongyu Zhang, et al.. (2011). Urinary Metabolite Markers of Precocious Puberty. Molecular & Cellular Proteomics. 11(1). M111.011072–M111.011072. 80 indexed citations
18.
Su, Mingming. (2008). A New Image of China——An analysis of the revised edition of My Country and My People by Lin Yutang.
19.
Ni, Yan, Mingming Su, Xiaoyan Wang, et al.. (2008). Metabolic profiling reveals disorder of amino acid metabolism in four brain regions from a rat model of chronic unpredictable mild stress. FEBS Letters. 582(17). 2627–2636. 159 indexed citations
20.
Ni, Yan, Mingming Su, Yunping Qiu, et al.. (2007). Metabolic profiling using combined GC–MS and LC–MS provides a systems understanding of aristolochic acid‐induced nephrotoxicity in rat. FEBS Letters. 581(4). 707–711. 92 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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