Xuming Mo

1.1k citations
34 papers · 648 · h-index 14

Impact in

Papers in

Xuming Mo

33 papers receiving 642 citations

Peers

Xuming Mo
Comparison fields: 5 of 85
  • Developmental Neuroscience 26
  • Cancer Research 91
  • Epidemiology 138
  • Molecular Biology 271
  • Pulmonary and Respiratory Medicine 83
Replace Agnieszka Siejka with:
Agnieszka Siejka Poland
Jian Zhuang China
Xiqiong Han China
Gour‐Shenq Kao Taiwan
Tongpeng Yue United States
Qiushi Lv China
Octavio Moldes Spain
M Zara Italy
Antonios Halapas Greece
Eileen I. Chang United States
Xuming Mo relative to Agnieszka Siejka Poland Agnieszka Siejka's profile →
Citations per field
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Agnieszka Siejka · 1×
Citations per year

Countries citing papers authored by Xuming Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xuming Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xuming Mo Line = papers co-authored together Xuming Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016132
2 201499
3 201449
4 201438
5 200724
6
Triggering the succinate receptor GPR91 enhances pressure overload-induced right ventricular hypertrophy.
201424
7 201624
8 200919
9 201618
10 201518
11 201418
12 200817
13 202116
14 201416
15 201413
16 201112
17 201412
18 201112
19 201111
20
Sildenefil increases connexin 40 in smooth muscle cells through activation of BMP pathways in pulmonary arterial hypertension.
201411

About Xuming Mo

Xuming Mo is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 34 papers that have together received 648 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Congenital heart defects research (9 papers), Tracheal and airway disorders (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), RNA modifications and cancer (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Developmental Neuroscience (26 citations), Cancer Research (91 citations), Epidemiology (138 citations), Molecular Biology (271 citations) and Pulmonary and Respiratory Medicine (83 citations). Xuming Mo has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Di Yu, Long Wang, Xiaodong Zang, Kai Zhou, Zhi Fu, Hesuyuan Huang, Yu Feng, Lei Yang, Yu Feng and Liang Hu. Their work appears in journals such as PLoS ONE, Journal of Molecular Neuroscience, Journal of the Neurological Sciences, Electrophoresis and Frontiers in Bioengineering and Biotechnology.

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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