Amber C. King
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 11
- CAR-T cell therapy research 8
-
- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Martin S. Tallman (7 shared papers)Troy Z. Horvat (6 shared papers)Jae H. Park (8 shared papers)Mark B. Geyer (6 shared papers)F. R. Sanderson (3 shared papers)Eytan M. Stein (5 shared papers)Mikhail Roshal (3 shared papers)Aaron D. Goldberg (3 shared papers)
- Journals
- Blood (9 papers)Leukemia Research (3 papers)Annals of Pharmacotherapy (3 papers)Blood Advances (2 papers)Plant Pathology (2 papers)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Amber C. King
29 papers receiving 411 citations
Peers
Comparison fields: 5 of 57
- Hematology 204
- Genetics 108
- Oncology 117
- Public Health, Environmental and Occupational Health 105
- Cell Biology 43
Countries citing papers authored by Amber C. King
This map shows the geographic impact of Amber C. King'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 Amber C. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber C. King more than expected).
Fields of papers citing papers by Amber C. King
This network shows the impact of papers produced by Amber C. King. 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 Amber C. King. The network helps show where Amber C. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber C. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2019 | 42 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 26 | |
| 5 | 1990 | 25 | |
| 6 | 1988 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 1994 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 1986 | 7 | |
| 16 | 2004 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 1991 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2015 | 4 |
About Amber C. King
Amber C. King is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Molecular Biology and Genetics, having authored 31 papers that have together received 419 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), CAR-T cell therapy research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Plant Pathogens and Fungal Diseases (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (204 citations), Genetics (108 citations), Oncology (117 citations), Public Health, Environmental and Occupational Health (105 citations) and Cell Biology (43 citations). Amber C. King has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Martin S. Tallman, Troy Z. Horvat, Jae H. Park, Mark B. Geyer, F. R. Sanderson, Eytan M. Stein, Mikhail Roshal, Aaron D. Goldberg, Jacob L. Glass and Raajit K. Rampal. Their work appears in journals such as Blood, Leukemia Research, Annals of Pharmacotherapy, Blood Advances and Plant Pathology.
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.