Ted Laderas
Impact in
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- Acute Myeloid Leukemia Research
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- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Histone Deacetylase Inhibitors Research 2
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- Immune cells in cancer 4
- Co-authors
- Stephen B. Hall (3 shared papers)Jonathan M. Crane (2 shared papers)Shannon K. McWeeney (13 shared papers)Samares C. Biswas (1 shared paper)Evan Lind (4 shared papers)Adam J. Lamble (4 shared papers)Wenfei Yan (1 shared paper)Jeffrey Tyner (5 shared papers)
- Journals
- Blood (4 papers)Bioinformatics (1 paper)Frontiers in Genetics (1 paper)Clinical Cancer Research (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesSwitzerlandVietnam
In The Last Decade
Ted Laderas
16 papers receiving 301 citations
Peers
Comparison fields: 5 of 72
- Hematology 39
- Immunology 67
- Endocrine and Autonomic Systems 21
- Pulmonary and Respiratory Medicine 74
- Molecular Biology 132
Countries citing papers authored by Ted Laderas
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
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-authors
The 25 scholars most cited alongside Ted Laderas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2003 | 72 | |
| 3 | 2006 | 30 | |
| 4 | 2009 | 22 | |
| 5 | 2004 | 15 | |
| 6 | 2007 | 12 | |
| 7 | 2017 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2007 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2006 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2020 | 0 |
About Ted Laderas
Ted Laderas is a scholar working on Molecular Biology, Immunology, Hematology, Pulmonary and Respiratory Medicine and Oncology, having authored 18 papers that have together received 307 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Acute Myeloid Leukemia Research (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), CAR-T cell therapy research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Hematology (39 citations), Immunology (67 citations), Endocrine and Autonomic Systems (21 citations), Pulmonary and Respiratory Medicine (74 citations) and Molecular Biology (132 citations). Ted Laderas has collaborated with scholars based in United States, Switzerland and Vietnam. Frequent co-authors include Stephen B. Hall, Jonathan M. Crane, Shannon K. McWeeney, Samares C. Biswas, Evan Lind, Adam J. Lamble, Wenfei Yan, Jeffrey Tyner, Alisa Damnernsawad and Anupriya Agarwal. Their work appears in journals such as Blood, Bioinformatics, Frontiers in Genetics, Clinical Cancer Research and Frontiers in Neuroscience.
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.