Amber C. King
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Yeasts and Rust Fungi Studies 3
- Oncology 10
- CAR-T cell therapy research 7
- 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)Jacob L. Glass (4 shared papers)Mikhail Roshal (3 shared papers)
- Journals
- Blood (9 papers)Annals of Pharmacotherapy (3 papers)Leukemia Research (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 421 citations
Peers
Comparison fields: 5 of 56
- Hematology 192
- Genetics 91
- Oncology 107
- Public Health, Environmental and Occupational Health 93
- 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 | 114 | |
| 2 | 2019 | 43 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 26 | |
| 5 | 1990 | 25 | |
| 6 | 1988 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 1994 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 1986 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 1991 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2004 | 6 | |
| 20 | 2015 | 4 |
About Amber C. King
Amber C. King is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 429 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), CAR-T cell therapy research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (4 papers) and Yeasts and Rust Fungi Studies (3 papers). The work is most often cited by research in Hematology (192 citations), Genetics (91 citations), Oncology (107 citations), Public Health, Environmental and Occupational Health (93 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, Jacob L. Glass, Mikhail Roshal, Raajit K. Rampal and Aaron D. Goldberg. Their work appears in journals such as Blood, Annals of Pharmacotherapy, Leukemia Research, 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.