John H. Moon
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Cancer therapeutics and mechanisms 2
- Protein Degradation and Inhibitors 1
- Histone Deacetylase Inhibitors Research 1
-
- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Charles L. Spurr (3 shared papers)Stanley Chun-Wei Lee (2 shared papers)Irving J. Wolman (2 shared papers)Emil J. Freireich (2 shared papers)Barth Hoogstraten (2 shared papers)Emil Frei (2 shared papers)Oleg S. Selawry (2 shared papers)Farid I. Haurani (3 shared papers)
- Journals
- Cancer (3 papers)Blood (2 papers)American Journal of Physiology-Legacy Content (1 paper)Oncotarget (1 paper)Toxins (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
John H. Moon
12 papers receiving 493 citations
Peers
Comparison fields: 5 of 79
- Hematology 125
- Statistics and Probability 89
- Oncology 182
- Genetics 58
- Public Health, Environmental and Occupational Health 126
Countries citing papers authored by John H. Moon
This map shows the geographic impact of John H. Moon'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 H. Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Moon more than expected).
Fields of papers citing papers by John H. Moon
This network shows the impact of papers produced by John H. Moon. 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 H. Moon. The network helps show where John H. Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside John H. Moon, 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 | 1965 | 209 | |
| 2 | 1963 | 167 | |
| 3 | 1975 | 62 | |
| 4 | 1975 | 28 | |
| 5 | Daunorubicin (NSC 82151) in the treatment of advanced childhood lymphoblastic leukemia. | 1971 | 28 |
| 6 | 1970 | 25 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 20 | |
| 9 | 1960 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 1959 | 3 | |
| 12 | 1970 | 1 |
About John H. Moon
John H. Moon is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Hematology and Physiology, having authored 12 papers that have together received 577 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer therapeutics and mechanisms (2 papers), Click Chemistry and Applications (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Protein Degradation and Inhibitors (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Hematology (125 citations), Statistics and Probability (89 citations), Oncology (182 citations), Genetics (58 citations) and Public Health, Environmental and Occupational Health (126 citations). John H. Moon has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Charles L. Spurr, Stanley Chun-Wei Lee, Irving J. Wolman, Emil J. Freireich, Barth Hoogstraten, Emil Frei, Oleg S. Selawry, Farid I. Haurani, James F. Holland and Richard B. Patterson. Their work appears in journals such as Cancer, Blood, American Journal of Physiology-Legacy Content, Oncotarget and Toxins.
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.