Anming Xiong

1.2k citations
22 papers · 931 indexed · h-index 19
Topics
Liver physiology and pathology (8 papers)Bacterial Genetics and Biotechnology (5 papers)Pancreatic function and diabetes (5 papers)

In The Last Decade

Anming Xiong

22 papers receiving 916 citations

Peers

Anming Xiong
Comparison fields: 5 of 101
  • Molecular Biology 391
  • Hepatology 160
  • Infectious Diseases 143
  • Biomedical Engineering 141
  • Surgery 135
Replace Sylvain Lehoux with:
Sylvain Lehoux United States
Verónica S. Martínez Australia
Niels Frandsen France
Youngchool Choe United States
Zhaohua Zhong China
Huipeng Chen China
José Bernad France
Angelo Ferrari Italy
Rodolphe Carpentier France
Cheryl Spence United States
Anming Xiong relative to Sylvain Lehoux United States Sylvain Lehoux's profile →
Citations per field
00.5×1.5×2.2×
Sylvain Lehoux · 1×
Citations per year

Countries citing papers authored by Anming Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Anming Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anming Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Anming Xiong. A scholar is included among the top collaborators of Anming 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 Anming Xiong. Anming 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
#WorkIndexed citations
1 26
2 86
3 25
4 31
5 49
6 32
7 68
8
HMG-CoA reductase inhibition causes increased necrosis and apoptosis in an in vivo mouse glioblastoma multiforme model.
30
9 37
10 28
11 33
12 36
13 7
14 4
15 76
16 27
17 31
18 67
19 16
20 77

About Anming Xiong

Anming Xiong is a scholar working on Hepatology, Physiology and Infectious Diseases, having authored 22 papers that have together received 931 indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Bacterial Genetics and Biotechnology (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Hepatology (160 citations), Infectious Diseases (143 citations) and Molecular Medicine (37 citations). Anming Xiong has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Radheshyam K. Jayaswal, Jeffrey S. Glenn, Vineet K. Singh, Guillermo Cabrera, Curtis W. Frank, Nam‐Joon Cho, Menashe Elazar, Maria T. Millan, Kun Yan Zhu and Darrell O. Bayles. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and Gastroenterology.

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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