Ted Laderas

6.0k total citations
16 papers, 280 citations indexed

About

Ted Laderas is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Ted Laderas has authored 16 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Hematology. Recurrent topics in Ted Laderas's work include Immune cells in cancer (4 papers), Acute Myeloid Leukemia Research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Ted Laderas is often cited by papers focused on Immune cells in cancer (4 papers), Acute Myeloid Leukemia Research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Ted Laderas collaborates with scholars based in United States, Switzerland and Australia. Ted Laderas's co-authors include Stephen B. Hall, Jonathan M. Crane, Shannon K. McWeeney, Samares C. Biswas, Adam J. Lamble, Evan Lind, Jeffrey Tyner, Marc Loriaux, David K. Edwards and Alisa Damnernsawad and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Ted Laderas

15 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Laderas United States 8 138 73 61 39 29 16 280
Lifeng Xiao China 10 175 1.3× 20 0.3× 44 0.7× 10 0.3× 48 1.7× 21 374
B.J. Smith United Kingdom 13 241 1.7× 11 0.2× 89 1.5× 40 1.0× 11 0.4× 17 536
Matteo Allegretti Italy 12 423 3.1× 43 0.6× 22 0.4× 75 1.9× 19 0.7× 27 616
Zhi-Heng Li China 10 202 1.5× 87 1.2× 11 0.2× 37 0.9× 12 0.4× 19 376
Larry E. Kahn United States 12 189 1.4× 19 0.3× 103 1.7× 56 1.4× 19 0.7× 19 454
Lydia A. Perkins United States 11 249 1.8× 81 1.1× 20 0.3× 13 0.3× 68 2.3× 12 432
Vincent T. Bicocca United States 8 160 1.2× 11 0.2× 32 0.5× 33 0.8× 28 1.0× 20 349
Mark J. Arcario United States 13 454 3.3× 30 0.4× 42 0.7× 65 1.7× 22 0.8× 18 578
Ruchira Engel Netherlands 10 268 1.9× 45 0.6× 48 0.8× 126 3.2× 20 0.7× 17 538
Debra Yeung United Kingdom 8 224 1.6× 18 0.2× 42 0.7× 10 0.3× 3 0.1× 8 422

Countries citing papers authored by Ted Laderas

Since Specialization
Citations

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

Fields of papers citing papers by Ted Laderas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Laderas

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

All Works

16 of 16 papers shown
1.
Gill, Tejpal, Patrick Stauffer, Mark Asquith, et al.. (2022). Axial spondyloarthritis patients have altered mucosal IgA response to oral and fecal microbiota. Frontiers in Immunology. 13. 965634–965634. 11 indexed citations
2.
Damnernsawad, Alisa, Ted Laderas, Guanming Wu, et al.. (2020). Abstract 5942: An integrated approach reveals novel extrinsic pathways and cytokine signatures associated with drug response in acute myeloid leukemia. Cancer Research. 80(16_Supplement). 5942–5942.
3.
Blucher, Aurora, Sophia Jeng, Christina Zheng, et al.. (2019). Illuminating biological pathways for drug targeting in head and neck squamous cell carcinoma. PLoS ONE. 14(10). e0223639–e0223639. 2 indexed citations
4.
Edwards, David K., Kevin Watanabe‐Smith, Angela Rofelty, et al.. (2018). CSF1R inhibitors exhibit antitumor activity in acute myeloid leukemia by blocking paracrine signals from support cells. Blood. 133(6). 588–599. 82 indexed citations
5.
Lamble, Adam J., et al.. (2017). Integrated functional and mass spectrometry-based flow cytometric phenotyping to describe the immune microenvironment in acute myeloid leukemia. Journal of Immunological Methods. 453. 44–52. 11 indexed citations
6.
Lamble, Adam J., Yoko Kosaka, Fei Huang, et al.. (2016). Mass Cytometry As a Modality to Identify Candidates for Immune Checkpoint Inhibitor Therapy within Acute Myeloid Leukemia. Blood. 128(22). 2829–2829. 3 indexed citations
7.
Lamble, Adam J., Yoko Kosaka, Fei Huang, et al.. (2016). Enhanced VISTA Expression in a Subset of Patients with Acute Myeloid Leukemia. Blood. 128(22). 4056–4056. 6 indexed citations
8.
Laderas, Ted, Laura M. Heiser, & Kemal Sönmez. (2015). A Network-Based Model of Oncogenic Collaboration for Prediction of Drug Sensitivity. Frontiers in Genetics. 6. 341–341. 4 indexed citations
9.
Laderas, Ted, Nicole A. R. Walter, Michael A. Mooney, et al.. (2011). Computational Detection of Alternative Exon Usage. Frontiers in Neuroscience. 5. 69–69. 7 indexed citations
10.
Walter, Nicole A. R., Daniel Bottomly, Ted Laderas, et al.. (2009). High throughput sequencing in mice: a platform comparison identifies a preponderance of cryptic SNPs. BMC Genomics. 10(1). 379–379. 20 indexed citations
11.
Laderas, Ted & Shannon K. McWeeney. (2007). Consensus Framework for Exploring Microarray Data Using Multiple Clustering Methods. OMICS A Journal of Integrative Biology. 11(1). 116–128. 7 indexed citations
12.
Laderas, Ted, Cory Bystrom, Debra A. McMillen, Guang Fan, & Shannon K. McWeeney. (2007). TandTRAQ: an open-source tool for integrated protein identification and quantitation. Bioinformatics. 23(24). 3394–3396. 11 indexed citations
13.
Biswas, Samares C., et al.. (2006). The melting of pulmonary surfactant monolayers. Journal of Applied Physiology. 102(5). 1739–1745. 30 indexed citations
14.
Trueworthy, Robert C., Linda C. Stork, Sharon R. Pine, et al.. (2006). Cerebrospinal Fluid (CSF) Proteomics in Children with Acute Lymphoblastic Leukemia (ALL).. Blood. 108(11). 1834–1834. 1 indexed citations
15.
Laderas, Ted, et al.. (2004). Persistence of Metastability after Expansion of a Supercompressed Fluid Monolayer. Langmuir. 20(12). 4945–4953. 15 indexed citations
16.
Crane, Jonathan M., et al.. (2003). Metastability of a Supercompressed Fluid Monolayer. Biophysical Journal. 85(5). 3048–3057. 70 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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