Ming Xiong

1.5k total citations · 1 hit paper
41 papers, 941 citations indexed

About

Ming Xiong is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ming Xiong has authored 41 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ming Xiong's work include Bladder and Urothelial Cancer Treatments (7 papers), Ferroptosis and cancer prognosis (5 papers) and Epigenetics and DNA Methylation (5 papers). Ming Xiong is often cited by papers focused on Bladder and Urothelial Cancer Treatments (7 papers), Ferroptosis and cancer prognosis (5 papers) and Epigenetics and DNA Methylation (5 papers). Ming Xiong collaborates with scholars based in China, Burundi and United States. Ming Xiong's co-authors include Lijie Zhou, Junyi Hu, Ke Chen, Lilong Liu, Yaxin Hou, Zhaohui Chen, Yu Yang, Zhaohui Chen, Teng Hou and Peter C. Butera and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Ming Xiong

38 papers receiving 930 citations

Hit Papers

Single-cell RNA sequencing highlights the role of inflamm... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Ming Xiong
Comparison fields: 5 of 106
  • Molecular Biology 518
  • Oncology 285
  • Cancer Research 254
  • Pulmonary and Respiratory Medicine 223
  • Immunology 200
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Shu-Heng Jiang China
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Sho Koyasu Japan
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Citations per field, relative to Ming Xiong
Ming Xiong · 1×
Citations per year, relative to Ming Xiong
Ming Xiong · 1×

Countries citing papers authored by Ming Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xiong. A scholar is included among the top collaborators of Ming Xiong 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 Xiong. Ming Xiong 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
# Work Indexed citations
1 1
2 1
3 0
4 0
5 1
6 6
7 8
8 10
9 9
10 3
11 4
12 6
13 4
14 27
15 19
16 15
17 8
18
Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma breakdown →
412
19 121
20
Exploiting User Mobility Patterns for Adaptive Location Management.
1

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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