Sarah E. Daadi

1.2k citations
9 papers · 854 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Sarah E. Daadi

9 papers receiving 849 citations

Hit Papers

PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome 2016 · 555 citations
5552016202620192022100200300400500

Peers

Sarah E. Daadi
Comparison fields: 5 of 47
  • Pathology and Forensic Medicine 594
  • Oncology 657
  • Immunology 346
  • Genetics 119
  • Neurology 158
Replace Courtney Connelly with:
Courtney Connelly United States
Anne Sumbul United States
MY Mapara Germany
Anna Gazzola Italy
Darius Juškevičius Switzerland
Thérèse Rousset France
Won-Seog Kim South Korea
Julien Lazarovici France
Vera Vanhentenrijk Belgium
Finlay MacDougall United Kingdom
Sarah E. Daadi relative to Courtney Connelly United States Courtney Connelly's profile →
Citations per field
00.5×1.6×
Courtney Connelly · 1×
Citations per year

Countries citing papers authored by Sarah E. Daadi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Sarah E. Daadi Line = papers co-authored together Sarah E. Daadi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20202
2 20202
3 2016139
4
PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome
Hit paper breakdown →
2016555
5 201559
6 201474
7 201217
8 20113
9 20113

About Sarah E. Daadi

Sarah E. Daadi is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Cancer Research, having authored 9 papers that have together received 854 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (5 papers), Lung Cancer Treatments and Mutations (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Immune Cell Function and Interaction (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Multiple and Secondary Primary Cancers (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, Azra H. Ligon, Daphne de Jong, Donna Neuberg, Scott J. Rodig, Bjoern Chapuy, Courtney Connelly and Margaret A. Shipp. 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.

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