Lisa Deng

454 total citations
10 papers, 194 citations indexed

About

Lisa Deng is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lisa Deng has authored 10 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lisa Deng's work include Acute Myeloid Leukemia Research (3 papers), Congenital heart defects research (3 papers) and Cardiac Fibrosis and Remodeling (2 papers). Lisa Deng is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Congenital heart defects research (3 papers) and Cardiac Fibrosis and Remodeling (2 papers). Lisa Deng collaborates with scholars based in United States, Germany and Belgium. Lisa Deng's co-authors include Achim Lother, Lutz Hein, Christoph Bode, Martin Moser, Dorien Clarisse, Karolien De Bosscher, Wenwen Jin, Lingyun Sun, Rebecca J. Chan and Keji Zhao and has published in prestigious journals such as Nature Immunology, Scientific Reports and The FASEB Journal.

In The Last Decade

Lisa Deng

10 papers receiving 194 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Deng United States 7 90 70 38 31 24 10 194
Sanne L. Maas Germany 7 64 0.7× 114 1.6× 25 0.7× 20 0.6× 6 0.3× 22 220
Anna Cmoch Poland 6 97 1.1× 28 0.4× 21 0.6× 24 0.8× 12 0.5× 7 193
Audrey Donnart France 6 75 0.8× 76 1.1× 32 0.8× 11 0.4× 17 0.7× 6 204
Antonio Rosal‐Vela Spain 10 98 1.1× 108 1.5× 47 1.2× 8 0.3× 9 0.4× 18 235
Baranda S. Hansen United States 9 123 1.4× 86 1.2× 25 0.7× 13 0.4× 5 0.2× 20 240
Marie A.C. Depuydt Netherlands 8 62 0.7× 179 2.6× 26 0.7× 22 0.7× 8 0.3× 21 234
Viviane Hoppe Germany 10 159 1.8× 23 0.3× 31 0.8× 27 0.9× 9 0.4× 13 248
Mitchell W. Dillon United States 5 127 1.4× 60 0.9× 26 0.7× 18 0.6× 5 0.2× 7 202
Meng Sun Sweden 6 66 0.7× 62 0.9× 37 1.0× 6 0.2× 6 0.3× 26 220

Countries citing papers authored by Lisa Deng

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Deng. 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 Lisa Deng. The network helps show where Lisa Deng may publish in the future.

Co-authorship network of co-authors of Lisa Deng

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

All Works

10 of 10 papers shown
1.
Clarisse, Dorien, Lisa Deng, Karolien De Bosscher, & Achim Lother. (2021). Approaches towards tissue‐selective pharmacology of the mineralocorticoid receptor. British Journal of Pharmacology. 179(13). 3235–3249. 21 indexed citations
2.
Deng, Lisa, et al.. (2020). Gene expression in immortalized versus primary isolated cardiac endothelial cells. Scientific Reports. 10(1). 2241–2241. 12 indexed citations
3.
Lother, Achim, et al.. (2018). Cardiac Endothelial Cell Transcriptome. Arteriosclerosis Thrombosis and Vascular Biology. 38(3). 566–574. 50 indexed citations
4.
Yoshimoto, Momoko, et al.. (2017). Yolk sac erythromyeloid progenitors expressing gain of function PTPN11 have functional features of JMML but are not sufficient to cause disease in mice. Developmental Dynamics. 246(12). 1001–1014. 5 indexed citations
5.
O’Leary, Heather A., Maegan L. Capitano, Scott Cooper, et al.. (2017). DPP4 truncated GM-CSF and IL-3 manifest distinct receptor-binding and regulatory functions compared with their full-length forms. Leukemia. 31(11). 2468–2478. 13 indexed citations
6.
Deng, Lisa, et al.. (2017). Rapid development of myeloproliferative neoplasm in mice with Ptpn11D61Y mutation and haploinsufficient for Dnmt3a. Oncotarget. 9(5). 6055–6061. 2 indexed citations
7.
Deng, Lisa, Elizabeth L. Virts, Reuben Kapur, & Rebecca J. Chan. (2017). Pharmacologic inhibition of PI3K p110δ in mutant Shp2E76K-expressing mice. Oncotarget. 8(49). 84776–84781. 5 indexed citations
8.
Boldt, Karsten, Lisa Deng, Nadja I. Bork, et al.. (2017). Amplified pathogenic actions of angiotensin II in cysteine‐rich LIM‐only protein 4–negative mouse hearts. The FASEB Journal. 31(4). 1620–1638. 11 indexed citations
9.
Li, Xing Jun, Lisa Deng, Stephanie L. Brandt, et al.. (2016). Role of p85α in neutrophil extra- and intracellular reactive oxygen species generation. Oncotarget. 7(17). 23096–23105. 6 indexed citations
10.
Nakatsukasa, Hiroko, Dunfang Zhang, Takashi Maruyama, et al.. (2015). The DNA-binding inhibitor Id3 regulates IL-9 production in CD4+ T cells. Nature Immunology. 16(10). 1077–1084. 69 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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