Debra T. Chao
- Molecular Biology top 2%
- Immunology top 2%
- Oncology top 2%
- Cancer Research top 5%
- Epidemiology top 10%
- Co-authors
- Stanley J. KorsmeyerJialing XiangXiaoming YinS J KorsmeyerKai WangCurt MillimanLynn S. WhiteLawrence Boise
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)Immune Cell Function and Interaction (6 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Debra T. Chao
28 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.9k
- Immunology 1.2k
- Oncology 1.1k
- Cancer Research 505
- Epidemiology 352
Countries citing papers authored by Debra T. Chao
This map shows the geographic impact of Debra T. Chao'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 Debra T. Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra T. Chao more than expected).
Fields of papers citing papers by Debra T. Chao
This network shows the impact of papers produced by Debra T. Chao. 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 Debra T. Chao. The network helps show where Debra T. Chao may publish in the future.
Co-authorship network of co-authors of Debra T. Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Debra T. Chao. A scholar is included among the top collaborators of Debra T. Chao 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 Debra T. Chao. Debra T. Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 30 | |
| 3 | 40 | |
| 4 | 136 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 123 | |
| 8 | 15 | |
| 9 | 28 | |
| 10 | 68 | |
| 11 | 62 | |
| 12 | 142 | |
| 13 | 25 | |
| 14 | 6 | |
| 15 | 66 | |
| 16 | 32 | |
| 17 | BCL-2 FAMILY: Regulators of Cell Deathbreakdown → | 1452 |
| 18 | 53 | |
| 19 | BID: a novel BH3 domain-only death agonist.breakdown → | 779 |
| 20 | 355 |
About Debra T. Chao
Debra T. Chao is a scholar working on Immunology and Allergy, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 4.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (1.2k citations), Molecular Biology (2.9k citations) and Oncology (1.1k citations). Debra T. Chao has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Stanley J. Korsmeyer, Jialing Xiang, Xiaoming Yin, S J Korsmeyer, Kai Wang, Curt Milliman, Lynn S. White, Lawrence Boise, Craig B. Thompson and Gerald P. Linette. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.