Annette E. Hay

3.3k citations
85 papers · 1.6k · 1 hit paper · h-index 15

Impact in

Papers in

Annette E. Hay

77 papers receiving 1.6k citations

Annette E. Hay's Hit Papers

Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study 2017 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Annette E. Hay
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 714
  • Oncology 895
  • Genetics 175
  • Hematology 103
  • Neurology 124
Replace Manali Kamdar with:
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Citations per field
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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-authors

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

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study
Hit paper breakdown →
20171076
2 201635
3 201328
4 201528
5 202321
6 201821
7 201520
8 201619
9 201519
10 201919
11 201617
12 201717
13 201616
14 201615
15 201915
16 202013
17 201713
18 202112
19 201312
20 201612

About Annette E. Hay

Annette E. Hay is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Public Health, Environmental and Occupational Health and Oncology, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (32 papers), Chronic Lymphocytic Leukemia Research (15 papers), Multiple Myeloma Research and Treatments (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Acute Lymphoblastic Leukemia research (9 papers), Economic and Financial Impacts of Cancer (9 papers), Protein Degradation and Inhibitors (8 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (714 citations), Oncology (895 citations), Genetics (175 citations), Hematology (103 citations) and Neurology (124 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, Matthew J. Maurer, William Y. Go, James R. Cerhan and Umar Farooq. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, 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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