Connie Wu

1.7k total citations
23 papers, 1.0k citations indexed

About

Connie Wu is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Connie Wu has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Biomedical Engineering and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Connie Wu's work include RNA modifications and cancer (4 papers), Heart Failure Treatment and Management (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Connie Wu is often cited by papers focused on RNA modifications and cancer (4 papers), Heart Failure Treatment and Management (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Connie Wu collaborates with scholars based in United States, Belgium and France. Connie Wu's co-authors include Dandan Sun, David R. Walt, Padric M. Garden, Kevin C.‐W. Wu, Pankaj Arora, Adam M. Maley, Tal Gilboa, Alana F. Ogata, Wayne A. Marasco and Emmanuel S. Buys and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Journal of the American College of Cardiology.

In The Last Decade

Connie Wu

23 papers receiving 984 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Connie Wu 447 377 112 85 83 23 1.0k
László Dézsi 375 0.8× 215 0.6× 69 0.6× 111 1.3× 157 1.9× 66 1.3k
Chunxia Luo 350 0.8× 125 0.3× 49 0.4× 121 1.4× 19 0.2× 56 1.6k
M. Kiranmai Reddy 327 0.7× 433 1.1× 25 0.2× 59 0.7× 62 0.7× 21 1.3k
Fabrizio Angius 331 0.7× 81 0.2× 57 0.5× 200 2.4× 40 0.5× 44 1.2k
Ruijuan Lv 281 0.6× 137 0.4× 45 0.4× 150 1.8× 19 0.2× 51 1.1k
Lijun Shang 400 0.9× 130 0.3× 19 0.2× 133 1.6× 152 1.8× 77 950
Takahiro Goto 417 0.9× 130 0.3× 15 0.1× 84 1.0× 125 1.5× 164 2.3k
Yujing Wang 341 0.8× 196 0.5× 15 0.1× 153 1.8× 50 0.6× 55 1.1k
Daguang Wang 677 1.5× 147 0.4× 27 0.2× 99 1.2× 40 0.5× 81 1.3k
Wei Kong 316 0.7× 68 0.2× 55 0.5× 86 1.0× 18 0.2× 36 914

Countries citing papers authored by Connie Wu

Since Specialization
Citations

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

Fields of papers citing papers by Connie Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Wu. A scholar is included among the top collaborators of Connie Wu 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 Connie Wu. Connie Wu 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.
Wu, Connie, et al.. (2023). Nanopore-Based Fingerprint Immunoassay Based on Rolling Circle Amplification and DNA Fragmentation. ACS Nano. 17(6). 5412–5420. 32 indexed citations
2.
Wu, Connie, et al.. (2022). High-Throughput, High-Multiplex Digital Protein Detection with Attomolar Sensitivity. ACS Nano. 16(1). 1025–1035. 104 indexed citations
3.
Ogata, Alana F., Adam M. Maley, Connie Wu, et al.. (2020). Ultra-Sensitive Serial Profiling of SARS-CoV-2 Antigens and Antibodies in Plasma to Understand Disease Progression in COVID-19 Patients with Severe Disease. Clinical Chemistry. 66(12). 1562–1572. 123 indexed citations
4.
Gilboa, Tal, Adam M. Maley, Alana F. Ogata, Connie Wu, & David R. Walt. (2020). Sequential Protein Capture in Multiplex Single Molecule Arrays: A Strategy for Eliminating Assay Cross‐Reactivity. Advanced Healthcare Materials. 10(4). e2001111–e2001111. 17 indexed citations
5.
Wu, Connie, Padric M. Garden, & David R. Walt. (2020). Ultrasensitive Detection of Attomolar Protein Concentrations by Dropcast Single Molecule Assays. Journal of the American Chemical Society. 142(28). 12314–12323. 125 indexed citations
6.
Wu, Connie, Adam M. Maley, & David R. Walt. (2019). Single-molecule measurements in microwells for clinical applications. Critical Reviews in Clinical Laboratory Sciences. 57(4). 270–290. 24 indexed citations
7.
Vandenwijngaert, Sara, Obiajulu Agha, Connie Wu, et al.. (2018). MicroRNA-425 and microRNA-155 cooperatively regulate atrial natriuretic peptide expression and cGMP production. PLoS ONE. 13(4). e0196697–e0196697. 13 indexed citations
8.
Arora, Pankaj, Connie Wu, Tariq Hamid, et al.. (2016). Acute Metabolic Influences on the Natriuretic Peptide System in Humans. Journal of the American College of Cardiology. 67(7). 804–812. 30 indexed citations
9.
Hutcheson, Joshua D., Megan F. Burke, Trejeeve Martyn, et al.. (2016). Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation. Journal of Visualized Experiments. 22 indexed citations
10.
Wu, Connie, Pankaj Arora, Obiajulu Agha, et al.. (2016). Novel MicroRNA Regulators of Atrial Natriuretic Peptide Production. Molecular and Cellular Biology. 36(14). 1977–1987. 18 indexed citations
11.
Arora, Pankaj, Jason Reingold, Aaron L. Baggish, et al.. (2015). Weight Loss, Saline Loading, and the Natriuretic Peptide System. Journal of the American Heart Association. 4(1). e001265–e001265. 34 indexed citations
12.
Wu, Connie & Pankaj Arora. (2015). Long Noncoding Mhrt RNA. Circulation Cardiovascular Genetics. 8(1). 213–215. 21 indexed citations
13.
Arora, Pankaj, Jason Reingold, Aaron L. Baggish, et al.. (2014). WEIGHT LOSS, SALINE LOADING, AND THE NATRIURETIC PEPTIDE SYSTEM. Journal of the American College of Cardiology. 63(12). A1354–A1354. 4 indexed citations
14.
Wu, Connie & Dandan Sun. (2014). GABA receptors in brain development, function, and injury. Metabolic Brain Disease. 30(2). 367–379. 229 indexed citations
15.
Bloch, Donald B., Emily Bloch, Daniel F. Berenson, et al.. (2014). LMKB/MARF1 Localizes to mRNA Processing Bodies, Interacts with Ge-1, and Regulates IFI44L Gene Expression. PLoS ONE. 9(4). e94784–e94784. 15 indexed citations
16.
Chen, Po‐Cheng, Connie Wu, Fabrizio Michelassi, & Amit Lal. (2014). A silicon electro-mechano tissue assay surgical tweezer. 29. 13–16. 1 indexed citations
17.
Arora, Pankaj, Connie Wu, Donald B. Bloch, et al.. (2013). MicroRNA miR-425 is a negative regulator of atrial natriuretic peptide. BMC Pharmacology and Toxicology. 14(S1). 2 indexed citations
18.
Wu, Connie, Seyma Aslan, Adeline Gand, et al.. (2012). Porous Nanofilm Biomaterials Via Templated Layer‐by‐Layer Assembly. Advanced Functional Materials. 23(1). 66–74. 26 indexed citations
19.
Wu, Connie, et al.. (2012). Acid–base bi-functionalized, large-pored mesoporous silica nanoparticles for cooperative catalysis of one-pot cellulose-to-HMF conversion. Journal of Materials Chemistry. 22(43). 23181–23181. 122 indexed citations
20.
Silver, Lee M., Connie Wu, & Sarah C. R. Elgin. (1978). Chapter 10 Immunofluorescent Techniques in the Analysis of Chromosomal Proteins. Methods in cell biology. 18. 151–167. 21 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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