Jay Schachner
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
-
- Acute Myeloid Leukemia Research 2
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Michael J. Keating (4 shared papers)Emil J. Freireich (5 shared papers)Hagop M. Kantarjian (5 shared papers)Craig C. Childs (2 shared papers)Charles Asa Koller (2 shared papers)Moshe Talpaz (2 shared papers)K. B. McCredie (2 shared papers)Hagop M. Kantarjian (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer (2 papers)The American Journal of Medicine (1 paper)American Journal of Hematology (1 paper)Leukemia Research (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Schachner
9 papers receiving 422 citations
Peers
Comparison fields: 5 of 31
- Genetics 264
- Hematology 96
- Pathology and Forensic Medicine 36
- Immunology 26
- Public Health, Environmental and Occupational Health 41
Countries citing papers authored by Jay Schachner
This map shows the geographic impact of Jay Schachner'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 Jay Schachner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Schachner more than expected).
Fields of papers citing papers by Jay Schachner
This network shows the impact of papers produced by Jay Schachner. 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 Jay Schachner. The network helps show where Jay Schachner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Schachner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 220 | |
| 2 | 1991 | 51 | |
| 3 | 1991 | 47 | |
| 4 | 1990 | 44 | |
| 5 | 1988 | 42 | |
| 6 | Cytogenetic association and prognostic significance of bone marrow blast cell terminal transferase in patients with acute myeloblastic leukemia. | 1988 | 17 |
| 7 | 1991 | 16 | |
| 8 | 1991 | 14 | |
| 9 | Suppression of c-myc and c-myb expression in myeloid cell lines treated with recombinant tumor necrosis factor-alpha. | 1988 | 4 |
About Jay Schachner
Jay Schachner is a scholar working on Genetics, Hematology, Immunology, Oncology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 455 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (2 papers), Acute Myeloid Leukemia Research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Genetics (264 citations), Hematology (96 citations), Pathology and Forensic Medicine (36 citations), Immunology (26 citations) and Public Health, Environmental and Occupational Health (41 citations). Jay Schachner has collaborated with scholars based in United States. Frequent co-authors include Michael J. Keating, Emil J. Freireich, Hagop M. Kantarjian, Craig C. Childs, Charles Asa Koller, Moshe Talpaz, K. B. McCredie, Hagop M. Kantarjian, Michael J. Keating and Susan Mary O'Brien. Their work appears in journals such as Journal of Clinical Oncology, Cancer, The American Journal of Medicine, American Journal of Hematology and Leukemia Research.
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.