Jennie Le

4.2k total citations · 1 hit paper
26 papers, 2.2k citations indexed

About

Jennie Le is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Jennie Le has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Jennie Le's work include Platelet Disorders and Treatments (6 papers), Hemoglobinopathies and Related Disorders (6 papers) and Blood groups and transfusion (6 papers). Jennie Le is often cited by papers focused on Platelet Disorders and Treatments (6 papers), Hemoglobinopathies and Related Disorders (6 papers) and Blood groups and transfusion (6 papers). Jennie Le collaborates with scholars based in United States, Australia and China. Jennie Le's co-authors include Kevin L. Gunderson, Richard Shen, Marina Bibikova, Bret Barnes, Jian‐Bing Fan, Vincent Ho, Brandy Klotzle, Gary P. Schroth, David Delano and Lu Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Jennie Le

23 papers receiving 2.2k citations

Hit Papers

High density DNA methylation array with single CpG site r... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennie Le United States 9 1.6k 733 339 247 181 26 2.2k
Jayaram Vijayakrishnan United Kingdom 15 1.4k 0.8× 530 0.7× 334 1.0× 302 1.2× 330 1.8× 18 2.2k
Jacob C. Ulirsch United States 24 1.5k 0.9× 540 0.7× 472 1.4× 128 0.5× 84 0.5× 43 2.4k
Emilie Calonne Belgium 16 1.6k 0.9× 369 0.5× 339 1.0× 160 0.6× 104 0.6× 27 1.9k
Kristy Lee United States 21 586 0.4× 899 1.2× 329 1.0× 148 0.6× 124 0.7× 55 1.9k
Dirk S. Paul United Kingdom 20 855 0.5× 731 1.0× 174 0.5× 131 0.5× 134 0.7× 34 2.0k
Güven Lüleci Türkiye 21 750 0.5× 808 1.1× 111 0.3× 286 1.2× 99 0.5× 110 1.7k
Mohsen Karimi Sweden 30 1.5k 0.9× 393 0.5× 278 0.8× 305 1.2× 109 0.6× 49 2.5k
Richard H. Scott United Kingdom 21 760 0.5× 676 0.9× 155 0.5× 363 1.5× 159 0.9× 42 1.5k
Florence Busato France 22 957 0.6× 338 0.5× 320 0.9× 267 1.1× 144 0.8× 48 1.7k
Helen M. Hansen United States 23 845 0.5× 198 0.3× 242 0.7× 285 1.2× 225 1.2× 66 1.6k

Countries citing papers authored by Jennie Le

Since Specialization
Citations

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

Fields of papers citing papers by Jennie Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennie Le

This figure shows the co-authorship network connecting the top 25 collaborators of Jennie Le. A scholar is included among the top collaborators of Jennie Le 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 Jennie Le. Jennie Le 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.
Wang, Bo, Zhiheng Fang, Jennie Le, et al.. (2025). Targeted and immunotherapeutic strategies for castration-resistant prostate cancer: emerging strategies, challenges, and future directions. Frontiers in Immunology. 16. 1668188–1668188.
2.
3.
Le, Jennie, et al.. (2024). Comparison of Efficacy and Pharmacoeconomic Outcomes Between Calfactant and Poractant Alfa in Preterm Infants With Respiratory Distress Syndrome. The Journal of Pediatric Pharmacology and Therapeutics. 29(3). 241–247. 1 indexed citations
4.
Chung, Dominic W., Koya Ozawa, Reheman Adili, et al.. (2023). Low-density lipoprotein promotes microvascular thrombosis by enhancing von Willebrand factor self-association. Blood. 142(13). 1156–1166. 11 indexed citations
5.
Chung, Dominic W., Koya Ozawa, Nathalie Pamir, et al.. (2022). Elevated Levels of Low Density Lipoprotein (LDL) Trigger VWF Self-Association into Fibers and Bundles and Potentiate Microvascular Thrombosis. Blood. 140(Supplement 1). 1660–1661.
6.
Graham, Susan M., Robin M. Nance, Junmei Chen, et al.. (2021). Elevated plasma von Willebrand factor levels are associated with subsequent ischemic stroke in persons with treated HIV infection. Open Forum Infectious Diseases. 8(11). ofab521–ofab521. 5 indexed citations
8.
Lawley, Cindy, Gil Ben-Zvi, Kobi Baruch, et al.. (2019). New de novo assembly of the Atlantic bottlenose dolphin ( Tursiops truncatus ) improves genome completeness and provides haplotype phasing. GigaScience. 8(3). 4 indexed citations
9.
Graham, Susan M., Junmei Chen, Jennie Le, et al.. (2019). Von Willebrand Factor Adhesive Activity and ADAMTS13 Protease Activity in HIV-1-Infected Men. International Journal of Medical Sciences. 16(2). 276–284. 10 indexed citations
10.
Özpolat, Tahsin, Junmei Chen, Xiaoyun Fu, et al.. (2017). Effects of N-Acetylcysteine Infusion in Patients with Sickle Cell Disease during Vaso-Occlusive Crises. Blood. 130. 2238–2238. 1 indexed citations
11.
Interlandi, Gianluca, Olga Yakovenko, J. Harris, et al.. (2017). Specific electrostatic interactions between charged amino acid residues regulate binding of von Willebrand factor to blood platelets. Journal of Biological Chemistry. 292(45). 18608–18617. 20 indexed citations
12.
Yang, Wei, Junmei Chen, Jennie Le, & José A. López. (2016). Pursuing Ultra-Low VWF Adsorption for Blood-Contacting Devices Under Shear. Blood. 128(22). 2539–2539. 1 indexed citations
13.
Özpolat, Tahsin, Junmei Chen, Xiaoyun Fu, et al.. (2016). A Pilot Study of High-Dose N-Acetylcysteine Infusion in Patients with Sickle Cell Disease. Blood. 128(22). 1299–1299. 4 indexed citations
14.
Feghhi, Shirin, Alexander E. St. John, J. Harris, et al.. (2016). VWF Cleavage Products Inhibit Shear-Induced Self-Association. Blood. 128(22). 3718–3718. 2 indexed citations
15.
Chung, Dominic W., Junmei Chen, Minhua Ling, et al.. (2015). High-density lipoprotein modulates thrombosis by preventing von Willebrand factor self-association and subsequent platelet adhesion. Blood. 127(5). 637–645. 70 indexed citations
16.
Özpolat, Tahsin, Junmei Chen, Xiaoyun Fu, et al.. (2014). Effects of N-Acetylcysteine in Patients with Sickle Cell Disease. Blood. 124(21). 4173–4173. 2 indexed citations
17.
Chen, Junmei, William E. Hobbs, Jennie Le, et al.. (2011). The rate of hemolysis in sickle cell disease correlates with the quantity of active von Willebrand factor in the plasma. Blood. 117(13). 3680–3683. 71 indexed citations
18.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). High density DNA methylation array with single CpG site resolution. Genomics. 98(4). 288–295. 1177 indexed citations breakdown →
19.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). Abstract LB-176: A novel high density DNA methylation array with single CpG site resolution. Cancer Research. 71(8_Supplement). LB–176. 4 indexed citations
20.
Peiffer, Daniel A., Jennie Le, Frank J. Steemers, et al.. (2006). High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Research. 16(9). 1136–1148. 373 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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