John N. Bickers

465 citations
17 papers · 369 indexed · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 4
    • Iron Metabolism and Disorders 2
    • Multiple Myeloma Research and Treatments 2
    • Hemoglobinopathies and Related Disorders 2

John N. Bickers

16 papers receiving 324 citations

Peers

John N. Bickers
Comparison fields: 5 of 70
  • Hematology 144
  • Genetics 64
  • Oncology 83
  • Public Health, Environmental and Occupational Health 86
  • Molecular Biology 134
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Citations per field
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Citations per year

Countries citing papers authored by John N. Bickers

Since Specialization
Citations

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

Fields of papers citing papers by John N. Bickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Bickers. 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 John N. Bickers. The network helps show where John N. Bickers may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Dose schedule and antitumor studies of arabinosyl cytosine (NSC 63878).
1969177
2 198534
3 196130
4 198522
5 198319
6 199217
7 198212
8 196210
9 198010
10 19689
11 19748
12 19606
13 19674
14 19704
15 19873
16 19873
17 19641

About John N. Bickers

John N. Bickers is a scholar working on Hematology, Genetics, Oncology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 17 papers that have together received 369 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Neutropenia and Cancer Infections (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Metabolism and Genetic Disorders (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hematology (144 citations), Genetics (64 citations), Oncology (83 citations), Public Health, Environmental and Occupational Health (86 citations) and Molecular Biology (134 citations). John N. Bickers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James S. Hewlett, Robert W. Talley, Montague Lane, Emil Frei, Howard A. Buechner, Charles A. Coltman, Francis S. Morrison, John J. Hutton, Catherine Craven and Robert J. Hartsock. Their work appears in journals such as Cancer, Investigational New Drugs, Digestive Diseases and Sciences, Journal of Pharmacology and Experimental Therapeutics 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.

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