Zuchang Ma

562 total citations
51 papers, 348 citations indexed

About

Zuchang Ma is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Artificial Intelligence. According to data from OpenAlex, Zuchang Ma has authored 51 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Physiology and 8 papers in Artificial Intelligence. Recurrent topics in Zuchang Ma's work include Topic Modeling (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Natural Language Processing Techniques (5 papers). Zuchang Ma is often cited by papers focused on Topic Modeling (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Natural Language Processing Techniques (5 papers). Zuchang Ma collaborates with scholars based in China, United States and Philippines. Zuchang Ma's co-authors include Yining Sun, Lisheng Gao, Mi Zhou, William S. Sly, Yang Xu, Yang Xu, Hui Xie, Xiaoyu Zhang, Jeffrey H. Grubb and Weimin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Zuchang Ma

45 papers receiving 341 citations

Peers

Zuchang Ma
Comparison fields: 5 of 110
  • Artificial Intelligence 82
  • Molecular Biology 60
  • Cardiology and Cardiovascular Medicine 54
  • Physiology 50
  • Endocrinology, Diabetes and Metabolism 47
Replace Augusto Anguita‐Ruiz with:
Augusto Anguita‐Ruiz Spain
Jill L. King United States
Paolo Sorino Italy
Patricia Ordóñez United States
Ilaria Carè Italy
Hsuan‐Hung Lin Taiwan
Kitty Rosenbrand Netherlands
E Lacroix Belgium
Scott Kaplin United States
B Krupa India
Augusto Anguita‐Ruiz Spain View profile →
Citations per field, relative to Zuchang Ma
Zuchang Ma · 1×
Citations per year, relative to Zuchang Ma
Zuchang Ma · 1×

Countries citing papers authored by Zuchang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zuchang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuchang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zuchang Ma. A scholar is included among the top collaborators of Zuchang 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 Zuchang Ma. Zuchang Ma 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 0
2 0
3 1
4 11
5 3
6 0
7 4
8 2
9 1
10 4
11 0
12 9
13 6
14 14
15 5
16 1
17 8
18 12
19 12
20 2

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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