D. Le

473 total citations
10 papers, 384 citations indexed

About

D. Le is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, D. Le has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in D. Le's work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Hemophilia Treatment and Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). D. Le is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (3 papers), Hemophilia Treatment and Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). D. Le collaborates with scholars based in United States, New Zealand and Spain. D. Le's co-authors include Samuel I. Rapaport, L. Vijaya Mohan Rao, John H. Griffin, Vibhas S. Mujumdar, SI Rapaport, Luis A. Díaz, T Olee, E. Nigel Harris, V L Woods and Harold H. Handley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

D. Le

9 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Le United States 7 192 90 87 71 53 10 384
Dariusz Woszczyk Poland 12 139 0.7× 97 1.1× 119 1.4× 30 0.4× 99 1.9× 27 397
Hina Desai United States 10 261 1.4× 177 2.0× 127 1.5× 39 0.5× 58 1.1× 16 587
Liza Robles‐Carrillo United States 10 100 0.5× 133 1.5× 91 1.0× 36 0.5× 25 0.5× 18 394
Ricardo Alvarez United States 11 72 0.4× 50 0.6× 133 1.5× 29 0.4× 46 0.9× 20 374
Brittany A. Woods United States 5 198 1.0× 77 0.9× 47 0.5× 59 0.8× 180 3.4× 8 385
J Delobel France 8 305 1.6× 196 2.2× 318 3.7× 70 1.0× 131 2.5× 17 708
Alina Dulau‐Florea United States 14 161 0.8× 121 1.3× 101 1.2× 224 3.2× 293 5.5× 29 624
M. M. Uttenreuther-Fischer Germany 13 101 0.5× 143 1.6× 198 2.3× 9 0.1× 50 0.9× 24 542
Irene Ricca Italy 14 137 0.7× 61 0.7× 193 2.2× 9 0.1× 192 3.6× 28 504
Keiichiro Hattori Japan 12 88 0.5× 73 0.8× 97 1.1× 11 0.2× 96 1.8× 35 346

Countries citing papers authored by D. Le

Since Specialization
Citations

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

Fields of papers citing papers by D. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Le

This figure shows the co-authorship network connecting the top 25 collaborators of D. Le. A scholar is included among the top collaborators of D. 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 D. Le. D. Le 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.
Poplawski, Andrzej, D. Le, Kameryn M. Butler, et al.. (2025). Expansion of genotype/phenotype correlation in an individual with compound heterozygous variants in CYP51A1 and congenital cataract. Molecular Genetics and Metabolism. 146(1-2). 109230–109230.
2.
Díaz, Luis A., Aurélien Marabelle, T.W. Kim, et al.. (2017). Efficacy of pembrolizumab in phase 2 KEYNOTE-164 and KEYNOTE-158 studies of microsatellite instability high cancers. Annals of Oncology. 28. v128–v129. 52 indexed citations
3.
Díaz, Luis A., Edward J. Tanner, Jennifer N. Uram, et al.. (2016). Preliminary results of a phase II study: PD-1 blockade in mismatch repair–deficient, recurrent or persistent endometrial cancer. Gynecologic Oncology. 141. 206–207. 42 indexed citations
5.
Orr, Sally L., D. Le, Jeffrey M. Long, et al.. (2012). A phenotype survey of 36 mutant mouse strains with gene-targeted defects in glycosyltransferases or glycan-binding proteins. Glycobiology. 23(3). 363–380. 40 indexed citations
6.
Amoureux, Marie‐Claude, et al.. (2004). Endotoxin Removal from Whole Blood by a Novel Adsorption Resin: Efficiency and Hemocompatibility. The International Journal of Artificial Organs. 27(6). 480–487. 6 indexed citations
7.
Gable, Paige, D. Le, William McGehee, & Samuel I. Rapaport. (1997). A Protac®-based screening test for activated protein C-resistant factor Va and other defects of the protein C anticoagulant pathway. Blood Coagulation & Fibrinolysis. 8(6). 327–335. 15 indexed citations
8.
Olee, T, S S Pierangeli, Harold H. Handley, et al.. (1996). A monoclonal IgG anticardiolipin antibody from a patient with the antiphospholipid syndrome is thrombogenic in mice.. Proceedings of the National Academy of Sciences. 93(16). 8606–8611. 69 indexed citations
10.
Le, D., Samuel I. Rapaport, & L. Vijaya Mohan Rao. (1992). Relations between factor VIIa binding and expression of factor VIIa/tissue factor catalytic activity on cell surfaces.. Journal of Biological Chemistry. 267(22). 15447–15454. 114 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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