Lanping Amy Sung

908 citations
34 papers · 739 indexed · h-index 15
Topics
Erythrocyte Function and Pathophysiology (18 papers)Blood properties and coagulation (13 papers)Cardiomyopathy and Myosin Studies (6 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Lanping Amy Sung

33 papers receiving 716 citations

Peers

Lanping Amy Sung
Comparison fields: 5 of 94
  • Pulmonary and Respiratory Medicine 270
  • Physiology 269
  • Molecular Biology 214
  • Cell Biology 210
  • Cardiology and Cardiovascular Medicine 132
Replace Beata Styp‐Rekowska with:
Beata Styp‐Rekowska Switzerland
G. W. Schmid-Scho ̈nbein United States
Carlos Vera United States
Kuldeepsinh Rana United States
Luana Scheffer Israel
Oleg V. Kim United States
Meredith E. Fay United States
Michael Chew United Kingdom
Hüsnü Tözeren Türkiye
Mark F. Coughlin United States
Lanping Amy Sung relative to Beata Styp‐Rekowska Switzerland Beata Styp‐Rekowska's profile →
Citations per field
00.5×3.7×
Beata Styp‐Rekowska · 1×
Citations per year

Countries citing papers authored by Lanping Amy Sung

Since Specialization
Citations

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

Fields of papers citing papers by Lanping Amy Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lanping Amy Sung. 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 Lanping Amy Sung. The network helps show where Lanping Amy Sung may publish in the future.

Co-authorship network of co-authors of Lanping Amy Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Lanping Amy Sung. A scholar is included among the top collaborators of Lanping Amy Sung 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 Lanping Amy Sung. Lanping Amy Sung 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 0
2 11
3 14
4 4
5 11
6 8
7 4
8 11
9 7
10 3
11 7
12 15
13 32
14 61
15 20
16 4
17 14
18 15
19 22
20 91

About Lanping Amy Sung

Lanping Amy Sung is a scholar working on Physiology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 739 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Blood properties and coagulation (13 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Cell Biology (210 citations), Physiology (269 citations) and Pulmonary and Respiratory Medicine (270 citations). Lanping Amy Sung has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shu Chien, Carlos Vera, M A Crimmins, Steven J. Burakoff, R. T. Skelton, Frédéric Bossens, Weijuan Yao, Richard Skalak, K.L. Paul Sung and Leland J. Yee. Their work appears in journals such as Science, Journal of Biological Chemistry and Blood.

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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