Ming Su

1.1k total citations
24 papers, 884 citations indexed

About

Ming Su is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ming Su has authored 24 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Oncology. Recurrent topics in Ming Su's work include Connective tissue disorders research (3 papers), Cell Adhesion Molecules Research (3 papers) and Bone health and osteoporosis research (3 papers). Ming Su is often cited by papers focused on Connective tissue disorders research (3 papers), Cell Adhesion Molecules Research (3 papers) and Bone health and osteoporosis research (3 papers). Ming Su collaborates with scholars based in United States, China and South Africa. Ming Su's co-authors include Francesco Ramirez, Douglas E. Vaughan, Joseph W. Covington, Veli‐Matti Kähäri, Jouni Uitto, Hao Qin, Yan Chen, Sharon Boast, Enrico V. Avvedimento and Massimo Sanchez and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

Ming Su

24 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Su United States 12 377 162 133 124 122 24 884
Toshihiro Shimizu Japan 15 402 1.1× 110 0.7× 83 0.6× 66 0.5× 48 0.4× 64 910
Cédric Boudot France 19 394 1.0× 131 0.8× 77 0.6× 59 0.5× 106 0.9× 35 1.1k
Anne-Christine Poncelet United States 10 790 2.1× 114 0.7× 88 0.7× 111 0.9× 85 0.7× 10 1.1k
Adam J. Belanger United States 17 594 1.6× 433 2.7× 112 0.8× 131 1.1× 80 0.7× 25 1.2k
Erik R. Sampson United States 18 704 1.9× 268 1.7× 140 1.1× 96 0.8× 107 0.9× 28 1.5k
Tomoko Hayashida United States 19 919 2.4× 227 1.4× 130 1.0× 109 0.9× 132 1.1× 43 1.7k
Consuelo González‐Manchón Spain 18 536 1.4× 90 0.6× 165 1.2× 198 1.6× 48 0.4× 61 1.2k
Cuiling Li China 13 574 1.5× 139 0.9× 115 0.9× 65 0.5× 36 0.3× 33 1.5k
Óscar Busnadiego Spain 12 309 0.8× 102 0.6× 66 0.5× 48 0.4× 105 0.9× 12 761
Melissa Swinnen Belgium 16 600 1.6× 324 2.0× 80 0.6× 50 0.4× 56 0.5× 24 1.2k

Countries citing papers authored by Ming Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Su. A scholar is included among the top collaborators of Ming 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 Ming Su. Ming 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
1.
Su, Ming, et al.. (2023). Median effective dose (ED50) of esketamine combined with propofol for children to inhibit response of gastroscope insertion. BMC Anesthesiology. 23(1). 240–240. 11 indexed citations
2.
Wang, Sixu, et al.. (2023). Birc3 and Tip1 are upregulated in renal ischemia reperfusion injury. Gene. 876. 147492–147492. 2 indexed citations
3.
Huang, Juan, Kun Wang, Aimin Zhang, et al.. (2023). Association between serum PCSK9 and coronary heart disease in patients with type 2 diabetes mellitus. Diabetology & Metabolic Syndrome. 15(1). 260–260. 5 indexed citations
4.
Yang, Bing, et al.. (2021). Predictive Value of p62 Protein in the Recurrence of Oral Squamous Cell Carcinoma. ONCOLOGIE. 23(4). 533–546. 1 indexed citations
5.
Wu, Dan, Yuan Yao, Guotao Li, et al.. (2020). The Escherichia coli QseB/QseC signaling is required for correct timing of replication initiation and cell motility. Gene. 773. 145374–145374. 9 indexed citations
6.
Zhang, Jie, Jinyan Huang, Fei Yuan, et al.. (2015). Whole genome and transcriptome sequencing of matched primary and peritoneal metastatic gastric carcinoma. Scientific Reports. 5(1). 13750–13750. 80 indexed citations
7.
Marchani, Elizabeth E., Yanming Di, Yoonha Choi, et al.. (2009). Contrasting identity-by-descent estimators, association studies, and linkage analyses using the Framingham Heart Study data. BMC Proceedings. 3(S7). S102–S102. 5 indexed citations
8.
Yao, Wei, Ming Su, Qing Zhang, et al.. (2007). Risedronate did not block the maximal anabolic effect of PTH in aged rats. Bone. 41(5). 813–819. 9 indexed citations
9.
Ringrose, Ashley, Youwen Zhou, Emily M. Pang, et al.. (2006). Evidence for an oncogenic role of AHI-1 in Sezary syndrome, a leukemic variant of human cutaneous T-cell lymphomas. Leukemia. 20(9). 1593–1601. 26 indexed citations
10.
Smith, Layton H., Stephen R. Coats, Hao Qin, et al.. (2004). Differential and Opposing Regulation of PAI-1 Promoter Activity by Estrogen Receptor α and Estrogen Receptor β in Endothelial Cells. Circulation Research. 95(3). 269–275. 39 indexed citations
11.
Jee, W.S.S., Jianliang Chen, Ashley O. Mo, et al.. (2003). Estrogen and "Exercise" Have a Synergistic Effect in Preventing Bone Loss in the Lumbar Vertebra and Femoral Neck of the Ovariectomized Rat. Calcified Tissue International. 72(1). 42–49. 45 indexed citations
12.
13.
Eren, Mesut, et al.. (2001). Phenotypic derangements associated with overexpression of plasminogen activator inhibitor-1 (PAI-1) in transgenic mice. Arteriosclerosis Thrombosis and Vascular Biology. 21(4). 695–695. 8 indexed citations
14.
Coats, Stephen R., Joseph W. Covington, Ming Su, et al.. (2000). SSeCKS Gene Expression in Vascular Smooth Muscle Cells: Regulation by Angiotensin II and a Potential Role in the Regulation of PAI-1 Gene Expression. Journal of Molecular and Cellular Cardiology. 32(12). 2207–2219. 16 indexed citations
15.
Chen, Yan, et al.. (1998). Sp1 Sites Mediate Activation of the Plasminogen Activator Inhibitor-1 Promoter by Glucose in Vascular Smooth Muscle Cells. Journal of Biological Chemistry. 273(14). 8225–8231. 163 indexed citations
16.
Venkov, Christo, Ming Su, Yu Shyr, & Douglas E. Vaughan. (1997). Ethanol-induced alterations in the expression of endothelial-derived fibrinolytic components. Fibrinolysis & proteolysis. 11(2). 115–118. 14 indexed citations
17.
Su, Ming, Hiroaki Suzuki, James J. Bieker, Michael Solursh, & Francesco Ramirez. (1991). Expression of two nonallelic type II procollagen genes during Xenopus laevis embryogenesis is characterized by stage-specific production of alternatively spliced transcripts.. The Journal of Cell Biology. 115(2). 565–575. 72 indexed citations
18.
19.
Boast, Sharon, Ming Su, Francesco Ramirez, Massimo Sanchez, & Enrico V. Avvedimento. (1990). Functional analysis of cis-acting DNA sequences controlling transcription of the human type I collagen genes.. Journal of Biological Chemistry. 265(22). 13351–13356. 117 indexed citations
20.
Parker, M. Iqbal, et al.. (1990). Regulation of the Human α2(I) Procollagen Gene by a Trans‐Acting Factora. Annals of the New York Academy of Sciences. 580(1). 451–453. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Toshihiro Shimizu Breakdown of academic impact, for papers by Cédric Boudot Breakdown of academic impact, for papers by Anne-Christine Poncelet Breakdown of academic impact, for papers by Adam J. Belanger Breakdown of academic impact, for papers by Erik R. Sampson Breakdown of academic impact, for papers by Tomoko Hayashida Breakdown of academic impact, for papers by Consuelo González‐Manchón Breakdown of academic impact, for papers by Cuiling Li Breakdown of academic impact, for papers by Óscar Busnadiego Breakdown of academic impact, for papers by Melissa Swinnen
Rankless by CCL
2026