Ming‐liang Ma

994 citations
13 papers · 263 indexed · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)vaccines and immunoinformatics approaches (3 papers)
Partner nations
ChinaCanadaSpain

In The Last Decade

Ming‐liang Ma

13 papers receiving 261 citations

Peers

Ming‐liang Ma
Comparison fields: 5 of 62
  • Molecular Biology 135
  • Infectious Diseases 121
  • Radiology, Nuclear Medicine and Imaging 69
  • Immunology 41
  • Animal Science and Zoology 29
Replace Patricia Gogesch with:
Patricia Gogesch Germany
Edward M. Murray United States
Weixiang Bian China
Matthew Drew United States
Brigitte Nicolas France
R. Andres Parra Sperberg United States
Patricia Ozegbe United Kingdom
Anna Narezkina United States
Simone Di Giacomo Italy
C. Henry France
Ming‐liang Ma relative to Patricia Gogesch Germany Patricia Gogesch's profile →
Citations per field
00.5×4.8×
Patricia Gogesch · 1×
Citations per year

Countries citing papers authored by Ming‐liang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐liang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐liang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐liang Ma. A scholar is included among the top collaborators of Ming‐liang Ma 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‐liang Ma. Ming‐liang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 3
3 9
4 11
5 6
6 38
7 19
8 2
9 101
10 18
11 39
12
Antiproliferative and apoptotic activities of novel curcumin analogs in human liver cancer cell lines
1
13
BB genotype of the vitamin D receptor gene polymorphism postpones parathyroidectomy in hemodialysis patients.
12

About Ming‐liang Ma

Ming‐liang Ma is a scholar working on Infectious Diseases, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 263 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Infectious Diseases (121 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Animal Science and Zoology (29 citations). Ming‐liang Ma has collaborated with scholars based in China, Canada and Spain. Frequent co-authors include Sheng‐ce Tao, Huan Qi, Shujuan Guo, Dan‐yun Lai, He‐wei Jiang, Hainan Zhang, Qingfeng Meng, Jie Zhou, Xiao Yang and Dawei Shi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Frontiers in Immunology.

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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