Jay Schachner

568 citations
10 papers · 486 · h-index 9

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Chronic Lymphocytic Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 4
    • Acute Myeloid Leukemia Research 3
    • Multiple Myeloma Research and Treatments 1

Jay Schachner

10 papers receiving 460 citations

Peers

Jay Schachner
Comparison fields: 5 of 38
  • Genetics 352
  • Hematology 146
  • Pathology and Forensic Medicine 186
  • Immunology 146
  • Public Health, Environmental and Occupational Health 119
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S Stass United States
RT Silver United States
Michael J. Keating United States
B. Ceglarek Poland
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Citations per field
00.5×1.5×
S Stass · 1×
Citations per year

Countries citing papers authored by Jay Schachner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay Schachner Line = papers co-authored together Jay Schachner links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1991220
2 199149
3 199146
4 199043
5 198842
6 199135
7
Cytogenetic association and prognostic significance of bone marrow blast cell terminal transferase in patients with acute myeloblastic leukemia.
198817
8 199116
9 199114
10
Suppression of c-myc and c-myb expression in myeloid cell lines treated with recombinant tumor necrosis factor-alpha.
19884

About Jay Schachner

Jay Schachner is a scholar working on Genetics, Hematology, Oncology, Immunology and Pathology and Forensic Medicine, having authored 10 papers that have together received 486 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Immune Cell Function and Interaction (2 papers), HER2/EGFR in Cancer Research (2 papers) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Genetics (352 citations), Hematology (146 citations), Pathology and Forensic Medicine (186 citations), Immunology (146 citations) and Public Health, Environmental and Occupational Health (119 citations). Jay Schachner has collaborated with scholars based in United States. Frequent co-authors include Hagop M. Kantarjian, Michael J. Keating, Charles Koller, Emil J. Freireich, Craig C. Childs, Moshe Talpaz, K. B. McCredie, H. Kantarjian, Michael J. Keating and K. B. McCredie. 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.

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