Hsiao‐Yen Ma

967 total citations
18 papers, 583 citations indexed

About

Hsiao‐Yen Ma is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hsiao‐Yen Ma has authored 18 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hsiao‐Yen Ma's work include Liver Disease Diagnosis and Treatment (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Developmental Biology and Gene Regulation (3 papers). Hsiao‐Yen Ma is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Developmental Biology and Gene Regulation (3 papers). Hsiao‐Yen Ma collaborates with scholars based in United States, China and France. Hsiao‐Yen Ma's co-authors include Jun Xu, Tatiana Kisseleva, David A. Brenner, Xiao Liu, Yukinori Koyama, In‐Gyu Kim, Ping Wang, Yukinori Koyama, Shuang Liang and Tian Lan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Hsiao‐Yen Ma

18 papers receiving 578 citations

Peers

Hsiao‐Yen Ma
Comparison fields: 5 of 85
  • Epidemiology 218
  • Molecular Biology 212
  • Hepatology 167
  • Surgery 89
  • Immunology 73
Replace Derrick Zhao with:
Derrick Zhao United States
Yan–Xin Chang China
Jesús García‐Bañuelos Mexico
Karim Hamesch Germany
Yoshinobu Saito Japan
Yang Cheng China
Junji Ma China
Xiaohui Zhang China
Chenkai Huang China
Ruchi Shah United States
Derrick Zhao United States View profile →
Citations per field, relative to Hsiao‐Yen Ma
Hsiao‐Yen Ma · 1×
Citations per year, relative to Hsiao‐Yen Ma
Hsiao‐Yen Ma · 1×

Countries citing papers authored by Hsiao‐Yen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Yen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiao‐Yen Ma

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 27
2 15
3 6
4 98
5 8
6 54
7 64
8 23
9 95
10 14
11 19
12 4
13 13
14 1
15 29
16 46
17 44
18 23

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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