NE Kay
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 18
- Chronic Lymphocytic Leukemia Research 17
- Immunology 17
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 4
- Co-authors
- MM Oken (5 shared papers)Brian Van Ness (5 shared papers)Daniel D. Billadeau (4 shared papers)Lois Quam (3 shared papers)Jeffrey L. Platt (2 shared papers)Catherine M. Verfaillie (4 shared papers)Philip B. McGlave (4 shared papers)Traci Leong (2 shared papers)
- Journals
- Blood (30 papers)Experimental Biology and Medicine (1 paper)Blood Reviews (1 paper)American Journal of Clinical Nutrition (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
NE Kay
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Hematology 548
- Genetics 509
- Immunology 616
- Pathology and Forensic Medicine 329
- Oncology 257
Countries citing papers authored by NE Kay
This map shows the geographic impact of NE 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 NE Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NE Kay more than expected).
Fields of papers citing papers by NE Kay
This network shows the impact of papers produced by NE 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 NE Kay. The network helps show where NE Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside NE Kay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 173 | |
| 2 | 1992 | 148 | |
| 3 | 1981 | 141 | |
| 4 | 1979 | 123 | |
| 5 | 1984 | 69 | |
| 6 | 1984 | 58 | |
| 7 | 1985 | 58 | |
| 8 | 1992 | 52 | |
| 9 | 1990 | 48 | |
| 10 | 1985 | 46 | |
| 11 | 1985 | 43 | |
| 12 | 1989 | 42 | |
| 13 | 1982 | 38 | |
| 14 | 1990 | 33 | |
| 15 | 1989 | 33 | |
| 16 | 1981 | 32 | |
| 17 | 1977 | 29 | |
| 18 | 1983 | 23 | |
| 19 | 1975 | 22 | |
| 20 | Endorphins, immune function, and cancer. | 1985 | 22 |
About NE Kay
NE Kay is a scholar working on Genetics, Immunology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Immune Cell Function and Interaction (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chemokine receptors and signaling (5 papers), Glycosylation and Glycoproteins Research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (548 citations), Genetics (509 citations), Immunology (616 citations), Pathology and Forensic Medicine (329 citations) and Oncology (257 citations). NE Kay has collaborated with scholars based in United States and Germany. Frequent co-authors include MM Oken, Brian Van Ness, Daniel D. Billadeau, Lois Quam, Jeffrey L. Platt, Catherine M. Verfaillie, Philip B. McGlave, Traci Leong, Patricia T. Greipp and RA Kyle. Their work appears in journals such as Blood, Experimental Biology and Medicine, Blood Reviews, American Journal of Clinical Nutrition and New England Journal of Medicine.
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.