H. Daniel Lacorazza

2.0k total citations
61 papers, 1.5k citations indexed

About

H. Daniel Lacorazza is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, H. Daniel Lacorazza has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 23 papers in Hematology and 23 papers in Immunology. Recurrent topics in H. Daniel Lacorazza's work include Immune Cell Function and Interaction (18 papers), Kruppel-like factors research (15 papers) and Acute Myeloid Leukemia Research (13 papers). H. Daniel Lacorazza is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Kruppel-like factors research (15 papers) and Acute Myeloid Leukemia Research (13 papers). H. Daniel Lacorazza collaborates with scholars based in United States, Argentina and Czechia. H. Daniel Lacorazza's co-authors include Chun Shik Park, Stephen D. Nimer, Moncef Jendoubi, Evan Y. Snyder, Jonathan Flax, Takeshi Yamada, Takeshi Yamada, Maksim Mamonkin, Janko Nikolich‐Žugich and Shen Ye and has published in prestigious journals such as Nature Medicine, Blood and Immunity.

In The Last Decade

H. Daniel Lacorazza

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Daniel Lacorazza United States 21 809 559 227 223 139 61 1.5k
Andreas Hadjisavvas Cyprus 22 652 0.8× 341 0.6× 127 0.6× 215 1.0× 351 2.5× 76 1.6k
Hong Sai United States 10 1.3k 1.6× 489 0.9× 337 1.5× 345 1.5× 126 0.9× 12 1.9k
Fanping Wang China 10 815 1.0× 508 0.9× 60 0.3× 240 1.1× 66 0.5× 17 1.3k
Verónica Ayllón Spain 23 1.1k 1.4× 179 0.3× 209 0.9× 171 0.8× 114 0.8× 42 1.4k
Nigel Sharfe Canada 19 570 0.7× 959 1.7× 112 0.5× 278 1.2× 337 2.4× 33 1.7k
Béla Z. Schmidt United States 17 504 0.6× 247 0.4× 165 0.7× 141 0.6× 63 0.5× 32 1.3k
Éric Milot Canada 21 1.2k 1.5× 240 0.4× 163 0.7× 161 0.7× 262 1.9× 35 1.6k
Andrew J. Kueh Australia 20 1.1k 1.4× 351 0.6× 81 0.4× 308 1.4× 167 1.2× 58 1.6k
Simeon Santourlidis Germany 24 1.0k 1.3× 468 0.8× 104 0.5× 238 1.1× 82 0.6× 53 1.7k
M Alexander United States 6 968 1.2× 457 0.8× 71 0.3× 321 1.4× 143 1.0× 7 1.6k

Countries citing papers authored by H. Daniel Lacorazza

Since Specialization
Citations

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

Fields of papers citing papers by H. Daniel Lacorazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Daniel Lacorazza. 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 H. Daniel Lacorazza. The network helps show where H. Daniel Lacorazza may publish in the future.

Co-authorship network of co-authors of H. Daniel Lacorazza

This figure shows the co-authorship network connecting the top 25 collaborators of H. Daniel Lacorazza. A scholar is included among the top collaborators of H. Daniel Lacorazza 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 H. Daniel Lacorazza. H. Daniel Lacorazza 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.
Park, Chun Shik, et al.. (2025). KLF4 enhances transplantation-induced hematopoiesis by inhibiting TLRs and noncanonical NFκB signaling at a steady state. Experimental Hematology. 144. 104730–104730. 1 indexed citations
2.
Lacorazza, H. Daniel. (2024). Pharmacological inhibition of the MAP2K7 kinase in human disease. Frontiers in Oncology. 14. 1486756–1486756. 1 indexed citations
3.
Čermáková, Kateřina, Yuen San Chan, Milan Dejmek, et al.. (2023). SWI/SNF Blockade Disrupts PU.1-Directed Enhancer Programs in Normal Hematopoietic Cells and Acute Myeloid Leukemia. Cancer Research. 83(7). 983–996. 21 indexed citations
4.
Zhang, Xiaoyu, et al.. (2023). Rational Design of Highly Potent and Selective Covalent MAP2K7 Inhibitors. ACS Medicinal Chemistry Letters. 14(5). 606–613. 3 indexed citations
5.
Chen, Taylor J, et al.. (2022). Antileukemic properties of the kinase inhibitor OTSSP167 in T-cell acute lymphoblastic leukemia. Blood Advances. 7(3). 422–435. 7 indexed citations
6.
Chen, Taylor J, et al.. (2022). Krüppel-like Factor 4 Supports the Expansion of Leukemia Stem Cells in MLL-AF9-driven Acute Myeloid Leukemia. Stem Cells. 40(8). 736–750. 5 indexed citations
7.
Zorman, Barry, et al.. (2022). CRLF2 overexpression results in reduced B-cell differentiation and upregulated E2F signaling in the Dp16 mouse model of Down syndrome. Experimental Hematology. 110. 34–38. 3 indexed citations
8.
Chen, Taylor J, et al.. (2021). Inhibition of the MAP2K7-JNK pathway with 5Z-7-oxozeaenol induces apoptosis in T-cell acute lymphoblastic leukemia. Oncotarget. 12(18). 1787–1801. 8 indexed citations
9.
Park, Chun Shik, Taylor J Chen, Shen Ye, et al.. (2019). A KLF4-DYRK2–mediated pathway regulating self-renewal in CML stem cells. Blood. 134(22). 1960–1972. 36 indexed citations
10.
11.
Lacorazza, H. Daniel. (2017). Cellular Quiescence. Methods in molecular biology. 5 indexed citations
12.
Mamonkin, Maksim, et al.. (2013). Differential roles of KLF4 in the development and differentiation of CD8+ T cells. Immunology Letters. 156(1-2). 94–101. 18 indexed citations
13.
Mamonkin, Maksim, et al.. (2013). Transcription factor ELF4 promotes development and function of memory CD8+T cells in Listeria monocytogenes infection. European Journal of Immunology. 44(3). 715–727. 11 indexed citations
14.
Yamada, Takeshi, et al.. (2011). G0S2, an early response gene, regulates quiescence in naive T cells (104.10). The Journal of Immunology. 186(1_Supplement). 104.10–104.10. 2 indexed citations
15.
Lacorazza, H. Daniel, Takeshi Yamada, Yan Liu, et al.. (2006). The transcription factor MEF/ELF4 regulates the quiescence of primitive hematopoietic cells. Cancer Cell. 9(3). 175–187. 116 indexed citations
16.
Lacorazza, H. Daniel & Stephen D. Nimer. (2003). The emerging role of the myeloid Elf-1 like transcription factorin hematopoiesis. Blood Cells Molecules and Diseases. 31(3). 342–350. 29 indexed citations
17.
Aifantis, Iannis, Christine Borowski, Fotini Gounari, et al.. (2002). A critical role for the cytoplasmic tail of pTα in T lymphocyte development. Nature Immunology. 3(5). 483–488. 65 indexed citations
18.
Lacorazza, H. Daniel, Yasushi Miyazaki, Antonio Di Cristofano, et al.. (2002). The ETS Protein MEF Plays a Critical Role in Perforin Gene Expression and the Development of Natural Killer and NK-T Cells. Immunity. 17(4). 437–449. 162 indexed citations
19.
Lacorazza, H. Daniel, et al.. (2001). Premature TCRαβ Expression and Signaling in Early Thymocytes Impair Thymocyte Expansion and Partially Block Their Development. The Journal of Immunology. 166(5). 3184–3193. 55 indexed citations
20.
Lacorazza, H. Daniel, et al.. (2001). Dysregulated Expression of Pre-Tα Reveals the Opposite Effects of Pre-TCR at Successive Stages of T Cell Development. The Journal of Immunology. 167(10). 5689–5696. 15 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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