Annette E. Hay

3.2k citations
82 papers · 1.6k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Annette E. Hay

69 papers receiving 1.5k citations

Hit Papers

Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study 2017 · 1.0k citations
1.0k20172026202020232505007501000

Peers

Annette E. Hay
Comparison fields: 5 of 87
  • Pathology and Forensic Medicine 846
  • Oncology 1.0k
  • Genetics 232
  • Immunology 219
  • Neurology 154
Replace Lynn Navale with:
Lynn Navale United States
Eliza A. Hawkes Australia
Jamie Hirata United States
Chadi Nabhan United States
SJ Horning United States
Craig A. Portell United States
Annalisa Chiappella Italy
Norma Peter Germany
Toby A. Eyre United Kingdom
P. Solal-Céligny France
Annette E. Hay relative to Lynn Navale United States Lynn Navale's profile →
Citations per field
00.5×1.5×
Lynn Navale · 1×
Citations per year

Countries citing papers authored by Annette E. Hay

Since Specialization
Citations

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

Fields of papers citing papers by Annette E. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annette E. Hay. 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 Annette E. Hay. The network helps show where Annette E. Hay may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Annette E. Hay, 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 Annette E. Hay Line = papers co-authored together Annette E. Hay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20231
5 20231
6 20232
7 20231
8 20224
9 20217
10 20206
11 20197
12 201918
13
Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study
Hit paper breakdown →
20171042
14 20171
15 201717
16 201618
17 20168
18 201615
19 201528
20 201519

About Annette E. Hay

Annette E. Hay is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Oncology and Statistics and Probability, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Economic and Financial Impacts of Cancer (17 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Chronic Lymphocytic Leukemia Research (15 papers), Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (9 papers), Acute Lymphoblastic Leukemia research (9 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (846 citations), Oncology (1.0k citations), Genetics (232 citations), Immunology (219 citations) and Neurology (154 citations). Annette E. Hay has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Michael Crump, John Kuruvilla, Liting Zhu, Christian Gisselbrecht, Éric Van Den Neste, Sami Boussetta, William Y. Go, Lynn Navale, Sattva S. Neelapu and Umar Farooq. Their work appears in journals such as Blood, Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Annals of Oncology and The Oncologist.

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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