Luke T. Dang

915 total citations · 1 hit paper
11 papers, 470 citations indexed

About

Luke T. Dang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Luke T. Dang has authored 11 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Luke T. Dang's work include Complement system in diseases (3 papers), Chemical Synthesis and Analysis (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Luke T. Dang is often cited by papers focused on Complement system in diseases (3 papers), Chemical Synthesis and Analysis (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Luke T. Dang collaborates with scholars based in United States, Netherlands and South Korea. Luke T. Dang's co-authors include Claudia Y. Janda, Calvin J. Kuo, David Baker, K. Christopher García, Samer Albahra, Hans Clevers, James Moody, Jacob Piehler, Junlei Chang and Hooman H. Rashidi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Luke T. Dang

10 papers receiving 453 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate Wnt agonists that phenocopy canonical Wnt and β-catenin signalling

2017 263 citations Claudia Y. Janda, Luke T. Dang et al. Nature profile →

Peers

Luke T. Dang

MB

ONCOL

HEMAT

SURGE

GENET

David Cantor Australia

Sylvia Merk Germany

Louis R. Ghanem United States

Raymond J. Peroutka United States

Upneet K. Sokhi United States

Yann Abraham United States

Cengiz Yakıcıer Türkiye

Szymon Stoma Switzerland

Chuanwei Yang United States

Garrick K. Wilson United Kingdom

David Cantor Australia

Luke T. Dang

204 ×0.8

MB

77 ×1.1

ONCOL

26 ×0.4

HEMAT

74 ×1.4

SURGE

56 ×1.1

GENET

Citations per year, relative to Luke T. Dang Luke T. Dang (= 1×) peers David Cantor

Countries citing papers authored by Luke T. Dang

Since Specialization

Citations

This map shows the geographic impact of Luke T. Dang'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 Luke T. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke T. Dang more than expected).

Fields of papers citing papers by Luke T. Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke T. Dang. 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 Luke T. Dang. The network helps show where Luke T. Dang may publish in the future.

Co-authorship network of co-authors of Luke T. Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Luke T. Dang. A scholar is included among the top collaborators of Luke T. Dang 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 Luke T. Dang. Luke T. Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Khan, Imran H., et al.. (2022). Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data. Journal of Pathology Informatics. 13. 100172–100172. 12 indexed citations

2.

Dang, Luke T., et al.. (2022). Characteristics of amelanotic acantholytic‐like melanoma resembling squamous cell carcinoma. Journal of Cutaneous Pathology. 49(5). 500–503. 1 indexed citations

3.

Rashidi, Hooman H., Luke T. Dang, Samer Albahra, Resmi Ravindran, & Imran H. Khan. (2021). Automated machine learning for endemic active tuberculosis prediction from multiplex serological data. Scientific Reports. 11(1). 17900–17900. 13 indexed citations

4.

Rashidi, Hooman H., Nam K. Tran, Samer Albahra, & Luke T. Dang. (2021). Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto‐ML. International Journal of Laboratory Hematology. 43(S1). 15–22. 48 indexed citations

5.

Chenoweth, James, et al.. (2020). Acetaminophen interference with Nova StatStrip^® Glucose Meter: case report with bench top confirmation. Clinical Toxicology. 58(11). 1067–1070. 5 indexed citations

6.

Dang, Luke T., Yi Miao, Andrew Ha, et al.. (2019). Receptor subtype discrimination using extensive shape complementary designed interfaces. Nature Structural & Molecular Biology. 26(6). 407–414. 34 indexed citations

7.

Janda, Claudia Y., Luke T. Dang, Changjiang You, et al.. (2017). Surrogate Wnt agonists that phenocopy canonical Wnt and β-catenin signalling. Nature. 545(7653). 234–237. 263 indexed citations breakdown →

8.

Dang, Luke T., et al.. (2011). Phylogenetic and Functional Analysis of Histidine Residues Essential for pH-dependent Multimerization of von Willebrand Factor. Journal of Biological Chemistry. 286(29). 25763–25769. 22 indexed citations

9.

Dang, Luke T., et al.. (2010). Sequence or structure: using bioinformatics and homology modeling to understand functional relationships in cAMP/cGMP binding domains. Molecular BioSystems. 6(5). 894–901. 5 indexed citations

10.

Gross, Julia Christina, Luke T. Dang, Ren‐Huai Huang, et al.. (2007). Two Cys residues essential for von Willebrand factor multimer assembly in the Golgi. Proceedings of the National Academy of Sciences. 104(40). 15647–15652. 67 indexed citations

11.

Gross, Julia Christina, Luke T. Dang, Ren‐Huai Huang, et al.. (2006). Identification of Cysteine Residues Essential for von Willebrand Factor (VWF) Multimerization.. Blood. 108(11). 1799–1799.

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.

Explore authors with similar magnitude of impact