John N. Bickers

466 citations
17 papers · 407 · h-index 9

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Chronic Lymphocytic Leukemia Research
    • Hemoglobinopathies and Related Disorders

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 349 citations

Peers

John N. Bickers
Comparison fields: 5 of 67
  • Hematology 156
  • Genetics 72
  • Oncology 96
  • Public Health, Environmental and Occupational Health 93
  • Molecular Biology 148
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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).
1969195
2 198537
3 196131
4 198525
5 198324
6 199218
7 198213
8 196213
9 198012
10 19689
11 19748
12 19607
13 19704
14 19674
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 Pathology and Forensic Medicine, having authored 17 papers that have together received 407 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Neutropenia and Cancer Infections (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Iron Metabolism and Disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Echinoderm biology and ecology (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hematology (156 citations), Genetics (72 citations), Oncology (96 citations), Public Health, Environmental and Occupational Health (93 citations) and Molecular Biology (148 citations). John N. Bickers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James S. Hewlett, Montague Lane, Emil Frei, Robert W. Talley, Howard A. Buechner, Charles Arthur Coltman, John H. Saiki, John J. Hutton, Richard A. Savage and Henry E. Wilson. 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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