Xuming Dai

5.1k total citations · 2 hit papers
71 papers, 3.6k citations indexed

About

Xuming Dai is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Surgery. According to data from OpenAlex, Xuming Dai has authored 71 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 16 papers in Immunology and 14 papers in Surgery. Recurrent topics in Xuming Dai's work include Acute Myocardial Infarction Research (19 papers), Cardiac Imaging and Diagnostics (12 papers) and Heart Failure Treatment and Management (8 papers). Xuming Dai is often cited by papers focused on Acute Myocardial Infarction Research (19 papers), Cardiac Imaging and Diagnostics (12 papers) and Heart Failure Treatment and Management (8 papers). Xuming Dai collaborates with scholars based in United States, China and Australia. Xuming Dai's co-authors include E. Richard Stanley, Gregory R. Ryan, Robert G. Russell, Melissa G. Dominguez, S. Kapp, Andrew J. Hapel, James E. Faber, Milena Bogunovic, Gwendalyn J. Randolph and Frank Tacke and has published in prestigious journals such as Nature, JAMA and Journal of Biological Chemistry.

In The Last Decade

Xuming Dai

67 papers receiving 3.6k citations

Hit Papers

Targeted disruption of the mouse colony-stimulating facto... 2002 2026 2010 2018 2002 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuming Dai United States 26 1.8k 979 530 481 458 71 3.6k
Carl Atkinson United States 38 1.3k 0.7× 1.1k 1.1× 433 0.8× 327 0.7× 531 1.2× 141 4.9k
Jan Rossaint Germany 44 2.0k 1.1× 1.5k 1.5× 474 0.9× 220 0.5× 598 1.3× 80 5.4k
Christoph D. Garlichs Germany 37 1.4k 0.8× 954 1.0× 379 0.7× 188 0.4× 979 2.1× 98 3.8k
Lars Stangenberg United States 18 879 0.5× 1.0k 1.0× 326 0.6× 321 0.7× 983 2.1× 46 3.0k
Edward Fox United States 35 1.2k 0.7× 736 0.8× 1.5k 2.9× 220 0.5× 222 0.5× 156 6.0k
Atilla Yılmaz Germany 30 1.1k 0.6× 576 0.6× 234 0.4× 143 0.3× 709 1.5× 92 2.7k
Mélanie Demers United States 24 2.7k 1.6× 1.3k 1.4× 606 1.1× 97 0.2× 266 0.6× 42 4.5k
David C. Crossman United Kingdom 38 1.2k 0.7× 1.6k 1.6× 259 0.5× 113 0.2× 792 1.7× 88 4.1k
Caroline Cheng Netherlands 35 882 0.5× 1.3k 1.4× 271 0.5× 183 0.4× 1.1k 2.4× 92 4.1k
Roberto Pola Italy 32 479 0.3× 1.7k 1.8× 473 0.9× 243 0.5× 338 0.7× 134 4.3k

Countries citing papers authored by Xuming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming Dai. A scholar is included among the top collaborators of Xuming Dai 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 Xuming Dai. Xuming Dai 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
2.
Caughey, Melissa C., Sameer Arora, Arman Qamar, et al.. (2021). Trends, Management, and Outcomes of Acute Myocardial Infarction Hospitalizations With In‐Hospital‐Onset Versus Out‐of‐Hospital Onset: The ARIC Study. Journal of the American Heart Association. 10(2). e018414–e018414. 9 indexed citations
3.
Zaman, Fahim, Amanda Chang, Linda Cadaret, et al.. (2021). Spatio-temporal hybrid neural networks reduce erroneous human “judgement calls” in the diagnosis of Takotsubo syndrome. EClinicalMedicine. 40. 101115–101115. 6 indexed citations
4.
Hall, Michael E., Sameer Arora, Xuming Dai, et al.. (2021). Prognostic value of shock index in patients admitted with non-ST-segment elevation myocardial infarction: the ARIC study community surveillance. European Heart Journal Acute Cardiovascular Care. 10(8). 869–877. 13 indexed citations
5.
Yeo, Ilhwan, et al.. (2021). A CASE OF “VERY” VERY LATE STENT THROMBOSIS IN A BARE METAL STENT(BMS). Journal of the American College of Cardiology. 77(18). 2518–2518. 1 indexed citations
6.
Slotwiner, David J., et al.. (2020). Intra-procedural arrhythmia during cardiac catheterization: A systematic review of literature. World Journal of Cardiology. 12(6). 269–284. 9 indexed citations
7.
Liu, Changqing, Melissa C. Caughey, Sidney C. Smith, & Xuming Dai. (2020). Elevated left ventricular end diastolic pressure is associated with increased risk of contrast-induced acute kidney injury in patients undergoing percutaneous coronary intervention. International Journal of Cardiology. 306. 196–202. 5 indexed citations
8.
Pauley, Eric, et al.. (2019). Mechanisms of ST Elevation Myocardial Infarction in Patients Hospitalized for Noncardiac Conditions. The American Journal of Cardiology. 123(9). 1393–1398. 3 indexed citations
9.
Dai, Xuming, et al.. (2017). Obstructive coronary artery disease in patient with acute thrombotic thrombocytopenic purpura. BMJ Case Reports. 2017. bcr–2017. 1 indexed citations
10.
Kim, Jinwook, Brooks D. Lindsey, Wei-Yi Chang, et al.. (2017). Intravascular forward-looking ultrasound transducers for microbubble-mediated sonothrombolysis. Scientific Reports. 7(1). 3454–3454. 76 indexed citations
11.
Lu, Susan, Lauren Xiaoyuan Lu, Sidney C. Smith, & Xuming Dai. (2017). Acute Myocardial Infarction in Patients with Paraplegia: Characteristics, Management, and Outcomes. The American Journal of Medicine. 131(5). 574.e1–574.e11. 8 indexed citations
12.
Dai, Xuming. (2016). Genetics of coronary artery disease and myocardial infarction. World Journal of Cardiology. 8(1). 1–1. 146 indexed citations
13.
Dai, Xuming, et al.. (2016). Acute coronary syndrome in the older adults.. PubMed. 13(2). 101–8. 49 indexed citations
14.
Malaterre, Jordane, Chee Kai Chan, Xuming Dai, et al.. (2013). CSF-1 Receptor-Dependent Colon Development, Homeostasis and Inflammatory Stress Response. PLoS ONE. 8(2). e56951–e56951. 31 indexed citations
15.
Nandi, Sayan, Şölen Gökhan, Xuming Dai, et al.. (2012). The CSF-1 receptor ligands IL-34 and CSF-1 exhibit distinct developmental brain expression patterns and regulate neural progenitor cell maintenance and maturation. Developmental Biology. 367(2). 100–113. 256 indexed citations
16.
Wang, Shiliang, Hua Zhang, Xuming Dai, Robert Sealock, & James E. Faber. (2010). Genetic Architecture Underlying Variation in Extent and Remodeling of the Collateral Circulation. Circulation Research. 107(4). 558–568. 73 indexed citations
17.
Ginhoux, Florent, Frank Tacke, Véronique Angeli, et al.. (2006). Langerhans cells arise from monocytes in vivo. Nature Immunology. 7(3). 265–273. 539 indexed citations breakdown →
18.
Nandi, Sayan, Mohammed P. Akhter, Mark F. Seifert, Xuming Dai, & E. Richard Stanley. (2005). Developmental and functional significance of the CSF-1 proteoglycan chondroitin sulfate chain. Blood. 107(2). 786–795. 52 indexed citations
19.
Li, Zhiping, Xing Wang, B. Belinda Ding, et al.. (2005). BCL-6 Negatively Regulates Expression of the NF-κB1 p105/p50 Subunit. The Journal of Immunology. 174(1). 205–214. 44 indexed citations
20.
Iavarone, Antonio, et al.. (2004). Retinoblastoma promotes definitive erythropoiesis by repressing Id2 in fetal liver macrophages. Nature. 432(7020). 1040–1045. 115 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

Rankless by CCL
2026