Po‐Shun Lee

888 total citations
19 papers, 540 citations indexed

About

Po‐Shun Lee is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Po‐Shun Lee has authored 19 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Po‐Shun Lee's work include Cystic Fibrosis Research Advances (4 papers), Tuberous Sclerosis Complex Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Po‐Shun Lee is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), Tuberous Sclerosis Complex Research (3 papers) and Cellular Mechanics and Interactions (3 papers). Po‐Shun Lee collaborates with scholars based in United States, Taiwan and Netherlands. Po‐Shun Lee's co-authors include Thomas P. Stossel, Aaron B. Waxman, Joo-Sung Yang, James M. Wilson, Mitchell J. Goldman, Mark A. Perrella, Su Wol Chung, David J. Kwiatkowski, Terry Ting‐Yu Chiou and David C. Christiani and has published in prestigious journals such as Blood, PLoS ONE and Stroke.

In The Last Decade

Po‐Shun Lee

19 papers receiving 533 citations

Peers

Po‐Shun Lee

PRM

EPIDE

PHYSI

GENET

Nobuyuki Uchida Japan

Perumalsamy Namperumalsamy India

Björn C. Frye Germany

Alexander J. Gallan United States

Simon J. Cleary United Kingdom

Su Han Lum United Kingdom

Elizabeth R. Davies United Kingdom

Matthew T. Palmer United States

H. B. Robinson United States

Indira Sahdev United States

Nobuyuki Uchida Japan

Po‐Shun Lee

206 ×1.2

PRM

177 ×1.2

108 ×0.8

EPIDE

35 ×0.4

PHYSI

86 ×1.1

GENET

Citations per year, relative to Po‐Shun Lee Po‐Shun Lee (= 1×) peers Nobuyuki Uchida

Countries citing papers authored by Po‐Shun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Po‐Shun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po‐Shun Lee. 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 Po‐Shun Lee. The network helps show where Po‐Shun Lee may publish in the future.

Co-authorship network of co-authors of Po‐Shun Lee

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

All Works

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19 of 19 papers shown

Patel–Hett, Sunita, Silvia Giannini, Christian Peters, et al.. (2021). A Novel Allogeneic Cell Therapy That Targets Pathogenic Autoantibodies for the Treatment of Immune Thrombocytopenia. Blood. 138(Supplement 1). 1001–1001. 1 indexed citations

Giuliano, Kenneth A., Shinichiro Wachi, Danijela Dukovski, et al.. (2017). Use of a High-Throughput Phenotypic Screening Strategy to Identify Amplifiers, a Novel Pharmacological Class of Small Molecules That Exhibit Functional Synergy with Potentiators and Correctors. SLAS DISCOVERY. 23(2). 111–121. 58 indexed citations

Chiou, Terry Ting‐Yu, Shang‐Chih Liao, Wen‐Chin Lee, et al.. (2016). Gelsolin and Progression of Aortic Arch Calcification in Chronic Hemodialysis Patients. International Journal of Medical Sciences. 13(2). 92–98. 9 indexed citations

Szumita, Paul M., et al.. (2016). The Effect of Concomitant Sirolimus and Propofol Therapy on Triglyceride Concentrations in Critically Ill Patients. American Journal of Therapeutics. 26(1). e103–e109. 2 indexed citations

Schob, Stefan, Matthias Zeller, Benjamin Pulli, et al.. (2015). Gelsolin decreases actin toxicity and inflammation in murine multiple sclerosis. Journal of Neuroimmunology. 287. 36–42. 20 indexed citations

Sun, Yang, Lauren Robinson, Izabela A. Malinowska, et al.. (2014). Rapamycin-Resistant Poly (ADP-Ribose) Polymerase-1 Overexpression Is a Potential Therapeutic Target in Lymphangioleiomyomatosis. American Journal of Respiratory Cell and Molecular Biology. 51(6). 738–749. 10 indexed citations

Li, Chenggang, Erik Zhang, Yang Sun, et al.. (2014). Rapamycin-Insensitive Up-Regulation of Adipocyte Phospholipase A2 in Tuberous Sclerosis and Lymphangioleiomyomatosis. PLoS ONE. 9(10). e104809–e104809. 14 indexed citations

Liao, Shang‐Chih, et al.. (2014). Gelsolin and Adipokines Are Associated With Protein‐Energy Wasting in Hemodialysis Patients. Artificial Organs. 39(2). 150–155. 12 indexed citations

Ratjen, Félix, Helen Sheridan, Po‐Shun Lee, et al.. (2012). Effect of ivacaftor on lung clearance index and FEV1 in subjects with CF who have the G551D-CFTR mutation and mild lung disease. 40. 1841. 1 indexed citations

10.

Ratjen, Félix, Helen Sheridan, Po‐Shun Lee, et al.. (2012). Lung Clearance Index As An Endpoint In A Multicenter Randomized Control Trial Of Ivacaftor In Subjects With Cystic Fibrosis Who Have Mild Lung Disease. A2819–A2819. 4 indexed citations

11.

Altes, Talissa A., Mac Johnson, John P. Mugler, et al.. (2012). The Effect Of Ivacaftor, An Investigational CFTR Potentiator, On Hyperpolarized Noble Gas Magnetic Resonance Imaging In Subjects With Cystic Fibrosis Who Have The G551D-CFTR Mutation. A2814–A2814. 6 indexed citations

12.

Chou, Sherry H.-Y., Po‐Shun Lee, Terry Ting‐Yu Chiou, et al.. (2011). Plasma-Type Gelsolin Is Decreased in Human Blood and Cerebrospinal Fluid After Subarachnoid Hemorrhage. Stroke. 42(12). 3624–3627. 31 indexed citations

13.

Lee, Po‐Shun, et al.. (2010). mTORC1-S6K Activation by Endotoxin Contributes to Cytokine Up-Regulation and Early Lethality in Animals. PLoS ONE. 5(12). e14399–e14399. 22 indexed citations

14.

Lee, Po‐Shun, Marsha A. Moses, Li‐Li Hsiao, et al.. (2009). Rapamycin-Insensitive Up-Regulation of MMP2 and Other Genes in Tuberous Sclerosis Complex 2–Deficient Lymphangioleiomyomatosis-Like Cells. American Journal of Respiratory Cell and Molecular Biology. 42(2). 227–234. 47 indexed citations

15.

Lee, Po‐Shun, Sanjay R. Patel, David C. Christiani, et al.. (2008). Plasma Gelsolin Depletion and Circulating Actin in Sepsis—A Pilot Study. PLoS ONE. 3(11). e3712–e3712. 55 indexed citations

16.

Lee, Po‐Shun, et al.. (2007). Plasma gelsolin is a marker and therapeutic agent in animal sepsis*. Critical Care Medicine. 35(3). 849–855. 101 indexed citations

17.

Patel, Naimish, et al.. (2005). The Influence of Diagnostic Bronchoscopy on Clinical Outcomes Comparing Adult Autologous and Allogeneic Bone Marrow Transplant Patients. CHEST Journal. 127(4). 1388–1396. 40 indexed citations

18.

Goldman, Mitchell J., Po‐Shun Lee, Joo-Sung Yang, & James M. Wilson. (1997). Lentiviral Vectors for Gene Therapy of Cystic Fibrosis. Human Gene Therapy. 8(18). 2261–2268. 89 indexed citations

19.

Betenbaugh, Michael J., et al.. (1991). Production of Recombinant Proteins by Baculovirus‐Infected Gypsy Moth Cells. Biotechnology Progress. 7(5). 462–467. 18 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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