Neil E. Kay

481 papers receiving 17.5k 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 · 684 citations
6840+10+20Years since publication4008001.2k

Peers

Neil E. Kay
Comparison fields: 5 of 159
  • Genetics 11.2k
  • Pathology and Forensic Medicine 7.2k
  • Immunology 6.0k
  • Hematology 3.1k
  • Oncology 2.7k
Replace Maher Albitar with:
Maher Albitar United States
Zeev Estrov United States
Allen P. Kaplan United States
Steven T. Rosen United States
Edward Keystone Canada
Sergio Amadori Italy
G Hale United Kingdom
Mark R. Pittelkow United States
Giuseppe Basso Italy
Edo Vellenga Netherlands
Neil E. Kay relative to Maher Albitar United States Maher Albitar's profile →
Citations per field
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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 504 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 →
19961497
2
ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Mutation Status as a Predictor of Disease Progression in Chronic Lymphocytic Leukemia
Hit paper breakdown →
2004684
3 1988336
4 2005277
5 2009267
6 2008253
7 2002251
8 2006234
9 2009198
10 2002194
11 2006194
12 2003190
13 2014187
14 2007182
15 2004180
16 1984178
17 2003177
18 2002175
19 2001168
20 1987167

About Neil E. Kay

Neil E. Kay is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Hematology, having authored 504 papers that have together received 18.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (407 papers), Lymphoma Diagnosis and Treatment (196 papers), Immunodeficiency and Autoimmune Disorders (112 papers), Monoclonal and Polyclonal Antibodies Research (40 papers), Advanced Breast Cancer Therapies (39 papers), Acute Lymphoblastic Leukemia research (35 papers), Glycosylation and Glycoproteins Research (32 papers) and Chronic Myeloid Leukemia Treatments (32 papers). The work is most often cited by research in Genetics (11.2k citations), Pathology and Forensic Medicine (7.2k citations), Immunology (6.0k citations), Hematology (3.1k citations) and Oncology (2.7k 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, Stephen J. O’Brien, J M Bennett and Cheson Bd. 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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