Lanping Amy Sung

908 total citations
34 papers, 739 citations indexed

About

Lanping Amy Sung is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Lanping Amy Sung has authored 34 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 14 papers in Pulmonary and Respiratory Medicine and 11 papers in Molecular Biology. Recurrent topics in Lanping Amy Sung's work include Erythrocyte Function and Pathophysiology (18 papers), Blood properties and coagulation (13 papers) and Cardiomyopathy and Myosin Studies (6 papers). Lanping Amy Sung is often cited by papers focused on Erythrocyte Function and Pathophysiology (18 papers), Blood properties and coagulation (13 papers) and Cardiomyopathy and Myosin Studies (6 papers). Lanping Amy Sung collaborates with scholars based in United States, China and Taiwan. Lanping Amy Sung's 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 and has published in prestigious journals such as Science, Journal of Biological Chemistry and Blood.

In The Last Decade

Lanping Amy Sung

33 papers receiving 716 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lanping Amy Sung United States 15 270 269 214 210 132 34 739
G. W. Schmid-Scho ̈nbein United States 10 114 0.4× 93 0.3× 74 0.3× 160 0.8× 29 0.2× 15 412
Meredith E. Fay United States 12 142 0.5× 76 0.3× 101 0.5× 99 0.5× 37 0.3× 26 587
Carlos Vera United States 12 96 0.4× 107 0.4× 341 1.6× 145 0.7× 265 2.0× 24 610
Kuldeepsinh Rana United States 13 155 0.6× 81 0.3× 285 1.3× 197 0.9× 72 0.5× 18 938
Michael Chew United Kingdom 10 123 0.5× 82 0.3× 146 0.7× 94 0.4× 165 1.3× 16 514
Beata Styp‐Rekowska Switzerland 16 197 0.7× 121 0.4× 363 1.7× 105 0.5× 36 0.3× 19 741
Luana Scheffer Israel 13 60 0.2× 131 0.5× 611 2.9× 245 1.2× 17 0.1× 18 895
Oleg V. Kim United States 11 289 1.1× 38 0.1× 74 0.3× 157 0.7× 61 0.5× 26 678
Esra Roan United States 16 244 0.9× 93 0.3× 203 0.9× 169 0.8× 12 0.1× 33 838
Grażyna Pyka‐Fościak Poland 13 80 0.3× 92 0.3× 128 0.6× 57 0.3× 80 0.6× 30 430

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
1.
Xie, Junqiu, Xueyu Geng, Xiang Lian, et al.. (2025). Tropomodulin1 regulates the biomechanical changes in macrophages induced by matrix stiffness. PubMed. 3(2). 100117–100117.
2.
Geng, Xueyu, Xue Xia, Shuo Li, et al.. (2024). Tropomodulin1 exacerbates inflammatory response in macrophages by negatively regulating LPS-induced TLR4 endocytosis. Cellular and Molecular Life Sciences. 81(1). 402–402. 11 indexed citations
3.
Liu, Xianmei, Xue Xia, Xifu Wang, et al.. (2021). Tropomodulin1 Expression Increases Upon Maturation in Dendritic Cells and Promotes Their Maturation and Immune Functions. Frontiers in Immunology. 11. 587441–587441. 14 indexed citations
4.
Yao, Weijuan, et al.. (2015). Cell type-restricted expression of erythrocyte tropomodulin Isoform41 in exon 1 knockout/LacZ knock-in heterozygous mice. Gene Expression Patterns. 17(1). 45–55. 4 indexed citations
5.
Wang, Xifu, Xiaolan Zhang, Dagong Sun, et al.. (2015). Fluid Shear Stress Upregulates E-Tmod41 via miR-23b-3p and Contributes to F-Actin Cytoskeleton Remodeling during Erythropoiesis. PLoS ONE. 10(8). e0136607–e0136607. 11 indexed citations
6.
7.
Peng, Weiyan & Lanping Amy Sung. (2011). RGD-containing ankyrin externalized onto the cell surface triggers αVβ3 integrin-mediated erythrophagocytosis. Biochemical and Biophysical Research Communications. 407(3). 466–471. 4 indexed citations
8.
Yao, Weijuan & Lanping Amy Sung. (2010). Erythrocyte Tropomodulin Isoforms with and without the N-terminal Actin-binding Domain. Journal of Biological Chemistry. 285(41). 31408–31417. 11 indexed citations
9.
Oliveira, Maurı́cio C. de, et al.. (2010). Nanomechanics of Multiple Units in the Erythrocyte Membrane Skeletal Network. Annals of Biomedical Engineering. 38(9). 2956–2967. 7 indexed citations
10.
Wang, Xiang, Li Yang, Yao Liu, et al.. (2009). Oxidized low-density lipoprotein (Ox-LDL) impacts on erythrocyte viscoelasticity and its molecular mechanism. Journal of Biomechanics. 42(14). 2394–2399. 3 indexed citations
11.
Schmid‐Schönbein, Geert W., et al.. (2005). The influence of fluid shear stress on the remodeling of the embryonic primary capillary plexus. Biomechanics and Modeling in Mechanobiology. 4(4). 211–220. 7 indexed citations
12.
Vera, Carlos, Jianmin Lao, Donald Hamelberg, & Lanping Amy Sung. (2005). Mapping the tropomyosin isoform 5 binding site on human erythrocyte tropomodulin: Further insights into E-Tmod/TM5 interaction. Archives of Biochemistry and Biophysics. 444(2). 130–138. 15 indexed citations
13.
Sung, Lanping Amy & Carlos Vera. (2003). Protofilament and Hexagon: A Three-Dimensional Mechanical Model for the Junctional Complex in the Erythrocyte Membrane Skeleton. Annals of Biomedical Engineering. 31(11). 1314–1326. 32 indexed citations
14.
Chen, Ju, et al.. (2003). E-Tmod capping of actin filaments at the slow-growing end is required to establish mouse embryonic circulation. American Journal of Physiology-Heart and Circulatory Physiology. 284(5). H1827–H1838. 61 indexed citations
15.
16.
Sung, Lanping Amy & Woo-Kuen Lo. (1997). Immunodetection of membrane skeletal protein 4.2 in bovine and chicken eye lenses and erythrocytes. Current Eye Research. 16(11). 1127–1133. 4 indexed citations
17.
Sung, Lanping Amy, Yuxin Fan, & Chia‐Chin Lin. (1996). Gene Assignment, Expression, and Homology of Human Tropomodulin. Genomics. 34(1). 92–96. 14 indexed citations
18.
Chien, Shu, et al.. (1992). Red cell membrane elasticity as determined by flow channel technique. Biorheology. 29(5-6). 467–478. 15 indexed citations
19.
Sung, Lanping Amy, et al.. (1988). Dynamic changes in viscoelastic properties in cytotoxic T-lymphocyte-mediated killing. Journal of Cell Science. 91(2). 179–189. 22 indexed citations
20.
Chien, Shu & Lanping Amy Sung. (1987). Physicochemical basis and clinical implications of red cell aggregation. Clinical Hemorheology and Microcirculation. 7(1). 71–91. 91 indexed citations

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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