Sarah E. Daadi
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 9
- Oncology 6
- Viral-associated cancers and disorders 5
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Richard T. Hoppe (9 shared papers)Ranjana H. Advani (9 shared papers)Yasodha Natkunam (5 shared papers)Margaret A. Shipp (3 shared papers)Donna Neuberg (3 shared papers)Bjoern Chapuy (3 shared papers)Robert Redd (3 shared papers)Scott J. Rodig (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Blood (2 papers)JCO Oncology Practice (1 paper)Cancer Immunology Research (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Sarah E. Daadi
9 papers receiving 849 citations
Sarah E. Daadi's Hit Papers
Peers
Comparison fields: 5 of 47
- Pathology and Forensic Medicine 594
- Oncology 657
- Immunology 346
- Genetics 119
- Neurology 158
Countries citing papers authored by Sarah E. Daadi
This map shows the geographic impact of Sarah E. Daadi'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 Sarah E. Daadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Daadi more than expected).
Fields of papers citing papers by Sarah E. Daadi
This network shows the impact of papers produced by Sarah E. Daadi. 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 Sarah E. Daadi. The network helps show where Sarah E. Daadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Daadi, 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 | PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome Hit paper breakdown → | 2016 | 555 |
| 2 | 2016 | 139 | |
| 3 | 2014 | 74 | |
| 4 | 2015 | 59 | |
| 5 | 2012 | 17 | |
| 6 | 2011 | 3 | |
| 7 | 2011 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 2 |
About Sarah E. Daadi
Sarah E. Daadi is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Genetics and Epidemiology, having authored 9 papers that have together received 854 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Lung Cancer Treatments and Mutations (5 papers), Viral-associated cancers and disorders (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Immune Cell Function and Interaction (1 paper), Multiple and Secondary Primary Cancers (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (594 citations), Oncology (657 citations), Immunology (346 citations), Genetics (119 citations) and Neurology (158 citations). Sarah E. Daadi has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Richard T. Hoppe, Ranjana H. Advani, Yasodha Natkunam, Margaret A. Shipp, Donna Neuberg, Bjoern Chapuy, Robert Redd, Scott J. Rodig, Daphne de Jong and Courtney Connelly. Their work appears in journals such as Journal of Clinical Oncology, Blood, JCO Oncology Practice, Cancer Immunology Research and Annals of 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.