Neil E. Kay

475 papers receiving 17.0k citations

Neil E. Kay's Hit Papers

ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Mutation Status as a Predictor of Disease Progression in Chronic Lymphocytic Leukemia 2004 · 657 citations
6570+10+20Years since publication4008001.2k

Peers

Neil E. Kay
Comparison fields: 5 of 155
  • Genetics 10.9k
  • Pathology and Forensic Medicine 6.9k
  • Immunology 5.8k
  • Hematology 2.9k
  • Oncology 2.6k
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Maher Albitar United States
Andrew W. Roberts Australia
Irene M. Ghobrial United States
Anas Younes United States
Zeev Estrov United States
Allen P. Kaplan United States
Steven T. Rosen United States
Sergio Amadori Italy
Carlos E. Bueso‐Ramos United States
G Hale United Kingdom
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Citations per year

Countries citing papers authored by Neil E. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Neil E. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 496 papers — load more, or switch the sort, to bring in the rest.

#Work
1
National Cancer Institute-sponsored Working Group guidelines for chronic lymphocytic leukemia: revised guidelines for diagnosis and treatment
Hit paper breakdown →
19961470
2
ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Mutation Status as a Predictor of Disease Progression in Chronic Lymphocytic Leukemia
Hit paper breakdown →
2004657
3 1988326
4 2005264
5 2009256
6 2008240
7 2002233
8 2006220
9 2002191
10 2009190
11 2006184
12 2003183
13 2014182
14 2004176
15 2002173
16 2003167
17 2007165
18 2001164
19 2013160
20 1984159

About Neil E. Kay

Neil E. Kay is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Hematology, having authored 496 papers that have together received 17.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (403 papers), Lymphoma Diagnosis and Treatment (194 papers), Immunodeficiency and Autoimmune Disorders (110 papers), Monoclonal and Polyclonal Antibodies Research (39 papers), Advanced Breast Cancer Therapies (39 papers), Acute Lymphoblastic Leukemia research (34 papers), Glycosylation and Glycoproteins Research (32 papers) and Chronic Myeloid Leukemia Treatments (32 papers). The work is most often cited by research in Genetics (10.9k citations), Pathology and Forensic Medicine (6.9k citations), Immunology (5.8k citations), Hematology (2.9k citations) and Oncology (2.6k citations). Neil E. Kay has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tait D. Shanafelt, Diane F. Jelinek, Timothy G. Call, Clive S. Zent, Susan L. Slager, Michael R. Grever, Nancy D. Bone, J M Bennett, KR Rai and Stephen J. O’Brien. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Leukemia Research and Leukemia.

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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