Yunn‐Hwa Ma

2.7k citations
56 papers · 2.2k indexed · h-index 24
Topics
Nanoparticle-Based Drug Delivery (14 papers)Eicosanoids and Hypertension Pharmacology (13 papers)Protease and Inhibitor Mechanisms (8 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Yunn‐Hwa Ma

56 papers receiving 2.2k citations

Peers

Yunn‐Hwa Ma
Comparison fields: 5 of 114
  • Biochemistry 834
  • Molecular Biology 530
  • Physiology 500
  • Endocrinology, Diabetes and Metabolism 488
  • Biomaterials 425
Replace Andras G. Lacko with:
Andras G. Lacko United States
Costanzo Costamagna Italy
Peng Zhao China
Vladimir V. Shuvaev United States
Tillmann Cyrus United States
Juan Carlos Cutrìn Italy
Anna Lisa Furfaro Italy
Danijela Maksimović‐Ivanić Serbia
Rosa Fernandes Portugal
Christopher B. Pattillo United States
Yunn‐Hwa Ma relative to Andras G. Lacko United States Andras G. Lacko's profile →
Citations per field
00.5×3.8×
Andras G. Lacko · 1×
Citations per year

Countries citing papers authored by Yunn‐Hwa Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yunn‐Hwa Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunn‐Hwa Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yunn‐Hwa Ma. A scholar is included among the top collaborators of Yunn‐Hwa 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 Yunn‐Hwa Ma. Yunn‐Hwa 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
#WorkIndexed citations
1 3
2 6
3 47
4 25
5 36
6 14
7 8
8 3
9 31
10 81
11 10
12 147
13 17
14 8
15 39
16 159
17 47
18 4
19 20
20 20

About Yunn‐Hwa Ma

Yunn‐Hwa Ma is a scholar working on Biochemistry, Biomaterials and Cancer Research, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (14 papers), Eicosanoids and Hypertension Pharmacology (13 papers) and Protease and Inhibitor Mechanisms (8 papers). The work is most often cited by research in Biochemistry (834 citations), Biomaterials (425 citations) and Endocrinology, Diabetes and Metabolism (488 citations). Yunn‐Hwa Ma has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include R. J. Roman, Jyh‐Ping Chen, David R. Harder, Tony Wu, J.E. Clark, Debebe Gebremedhin, Bettie Sue Siler Masters, John R. Falck, P.R. Ortiz de Montellano and M VanRollins. Their work appears in journals such as Biomaterials, Circulation Research and Biochemical and Biophysical Research Communications.

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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