Henry Wu

2.7k total citations
25 papers, 2.2k citations indexed

About

Henry Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Henry Wu has authored 25 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Henry Wu's work include Cardiac Imaging and Diagnostics (4 papers), T-cell and B-cell Immunology (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Henry Wu is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), T-cell and B-cell Immunology (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Henry Wu collaborates with scholars based in United States, Israel and Canada. Henry Wu's co-authors include Edward T.H. Yeh, James T. Willerson, Howard L. Weiner, Francisco J. Quintana, Andre Pires da Cunha, Vincenzo Pasceri, Sui Zhang, Martin Körbling, Zeev Estrov and Raymond Y. Kwong and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Medicine.

In The Last Decade

Henry Wu

25 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Wu United States 14 744 570 537 431 313 25 2.2k
Anne M. Pippen United States 23 870 1.2× 598 1.0× 459 0.9× 367 0.9× 406 1.3× 32 2.4k
Haruo Hanawa Japan 32 773 1.0× 958 1.7× 1.4k 2.7× 391 0.9× 204 0.7× 124 2.9k
Beñat Mallavia United States 22 741 1.0× 954 1.7× 225 0.4× 416 1.0× 273 0.9× 27 2.8k
Kang Yao China 21 463 0.6× 250 0.4× 389 0.7× 497 1.2× 313 1.0× 80 1.6k
Kimie Tanaka Japan 30 1.1k 1.5× 405 0.7× 608 1.1× 545 1.3× 171 0.5× 50 2.6k
Yasushi Kitaura Japan 31 1.1k 1.4× 286 0.5× 1.7k 3.2× 618 1.4× 357 1.1× 152 3.3k
Emiel P. C. van der Vorst Germany 32 870 1.2× 766 1.3× 362 0.7× 372 0.9× 186 0.6× 107 2.4k
Giancarlo Marone Italy 33 620 0.8× 1.5k 2.5× 327 0.6× 369 0.9× 756 2.4× 59 3.2k
Philip Raake Germany 28 1.6k 2.2× 346 0.6× 1.3k 2.3× 502 1.2× 166 0.5× 118 3.1k
Chiara Foglieni Italy 26 905 1.2× 247 0.4× 268 0.5× 222 0.5× 235 0.8× 61 2.0k

Countries citing papers authored by Henry Wu

Since Specialization
Citations

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

Fields of papers citing papers by Henry Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Wu. A scholar is included among the top collaborators of Henry 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 Henry Wu. Henry 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.
Naughton, Sean X., Eun-Jeong Yang, Umar Iqbal, et al.. (2024). Permethrin exposure primes neuroinflammatory stress response to drive depression-like behavior through microglial activation in a mouse model of Gulf War Illness. Journal of Neuroinflammation. 21(1). 222–222. 4 indexed citations
2.
3.
Naughton, Sean X., et al.. (2021). COVID‐19 and Alzheimer’s disease: Meninges‐mediated neuropathology. PubMed Central. 1 indexed citations
4.
Wu, Henry, et al.. (2021). Anxiolytic effects of NLRP3 inflammasome inhibition in a model of chronic sleep deprivation. Translational Psychiatry. 11(1). 52–52. 28 indexed citations
5.
Sebastian-Valverde, Maria, et al.. (2021). Discovery and characterization of small-molecule inhibitors of NLRP3 and NLRC4 inflammasomes. Journal of Biological Chemistry. 296. 100597–100597. 17 indexed citations
6.
Kwong, Raymond Y., Bobak Heydari, Siddique Abbasi, et al.. (2015). Characterization of Cardiac Amyloidosis by Atrial Late Gadolinium Enhancement Using Contrast-Enhanced Cardiac Magnetic Resonance Imaging and Correlation With Left Atrial Conduit and Contractile Function. The American Journal of Cardiology. 116(4). 622–629. 49 indexed citations
7.
Weiner, Howard L., Andre Pires da Cunha, Francisco J. Quintana, & Henry Wu. (2011). Oral tolerance. Immunological Reviews. 241(1). 241–259. 443 indexed citations
8.
Farzaneh‐Far, Afshin, Vignendra Ariyarajah, Chetan Shenoy, et al.. (2011). Left Atrial Passive Emptying Function During Dobutamine Stress MR Imaging Is a Predictor of Cardiac Events in Patients With Suspected Myocardial Ischemia. JACC. Cardiovascular imaging. 4(4). 378–388. 28 indexed citations
9.
Ilan, Yaron, Ehud Zigmond, Gadi Lalazar, et al.. (2009). Oral Administration of OKT3 Monoclonal Antibody to Human Subjects Induces a Dose-Dependent Immunologic Effect in T Cells and Dendritic Cells. Journal of Clinical Immunology. 30(1). 167–177. 59 indexed citations
10.
11.
Wu, Henry & Raymond Y. Kwong. (2008). Cardiac magnetic resonance imaging in patients with coronary disease. Current Treatment Options in Cardiovascular Medicine. 10(1). 83–92. 8 indexed citations
12.
Ochi, Hirofumi, Michal Abraham, Hiroki Ishikawa, et al.. (2008). New immunosuppressive approaches: Oral administration of CD3-specific antibody to treat autoimmunity. Journal of the Neurological Sciences. 274(1-2). 9–12. 37 indexed citations
13.
Wu, Henry, Mathew S. Maurer, Richard A. Friedman, et al.. (2007). The Lymphocytic Infiltration in Calcific Aortic Stenosis Predominantly Consists of Clonally Expanded T Cells. The Journal of Immunology. 178(8). 5329–5339. 36 indexed citations
14.
Ochi, Hirofumi, Michal Abraham, Hiroki Ishikawa, et al.. (2006). Oral CD3-specific antibody suppresses autoimmune encephalomyelitis by inducing CD4+CD25−LAP+ T cells. Nature Medicine. 12(6). 627–635. 194 indexed citations
15.
Gudehithlu, Krishnamurthy P., Naila Ahmed, Henry Wu, et al.. (2005). Antagonism of vascular endothelial growth factor results in microvessel attrition and disorganization of wound tissue. Journal of Laboratory and Clinical Medicine. 145(4). 194–203. 12 indexed citations
16.
Wu, Henry, Lars Berglund, Clarito Dimayuga, et al.. (2004). High lipoprotein(a) levels and small apolipoprotein(a) sizes are associated with endothelial dysfunction in a multiethnic cohort. Journal of the American College of Cardiology. 43(10). 1828–1833. 52 indexed citations
17.
Yeh, Edward T.H., Sui Zhang, Henry Wu, et al.. (2003). Transdifferentiation of Human Peripheral Blood CD34 + -Enriched Cell Population Into Cardiomyocytes, Endothelial Cells, and Smooth Muscle Cells In Vivo. Circulation. 108(17). 2070–2073. 339 indexed citations
18.
19.
Katz, Stuart D., et al.. (1999). Effect of acute inhibition of type 5 phosphodiesterase with sildenafil on flow-mediated vasodilation in patients with chronic heart failure. Journal of Cardiac Failure. 5(3). 59–59. 6 indexed citations
20.
Wu, Henry, Stuart D. Katz, Tehreen Khan, et al.. (1996). Comparison of Doppler ultrasonography and venous occlusion plethysmography in assessing endothelium-mediated vasodilation. Journal of the American College of Cardiology. 27(2). 383–383. 1 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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