Ryan J. King
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Geriatrics and Gerontology top 5%
Papers in
-
- Cancer, Hypoxia, and Metabolism 9
-
- Muscle Physiology and Disorders 3
- Metabolism, Diabetes, and Cancer 3
- RNA modifications and cancer 3
- Mitochondrial Function and Pathology 2
- Co-authors
- Pankaj K. Singh (13 shared papers)Fang Yu (8 shared papers)Kamiya Mehla (3 shared papers)Surendra Kumar Shukla (9 shared papers)Enza Vernucci (5 shared papers)Venugopal Gunda (5 shared papers)Jaime Abrego (4 shared papers)Aneesha Dasgupta (6 shared papers)
- Journals
- Cancer Letters (3 papers)Oncotarget (2 papers)Cancer Cell (2 papers)Theranostics (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Ryan J. King
23 papers receiving 2.4k citations
Ryan J. King's Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 700
- Geriatrics and Gerontology 66
- Oncology 476
- Molecular Biology 1.2k
- Molecular Medicine 57
Countries citing papers authored by Ryan J. King
This map shows the geographic impact of Ryan J. 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 Ryan J. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. King more than expected).
Fields of papers citing papers by Ryan J. King
This network shows the impact of papers produced by Ryan J. 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 Ryan J. King. The network helps show where Ryan J. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 454 | |
| 2 | IDseq—An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring Hit paper breakdown → | 2020 | 269 |
| 3 | A global metagenomic map of urban microbiomes and antimicrobial resistance Hit paper breakdown → | 2021 | 257 |
| 4 | 2019 | 203 | |
| 5 | 2017 | 182 | |
| 6 | 2021 | 143 | |
| 7 | 2020 | 121 | |
| 8 | 2021 | 105 | |
| 9 | 2017 | 85 | |
| 10 | 2017 | 82 | |
| 11 | 2017 | 78 | |
| 12 | 2015 | 77 | |
| 13 | 2024 | 65 | |
| 14 | 2020 | 62 | |
| 15 | 2020 | 61 | |
| 16 | 2014 | 46 | |
| 17 | 2023 | 44 | |
| 18 | 2020 | 39 | |
| 19 | 2017 | 37 | |
| 20 | 2020 | 31 |
About Ryan J. King
Ryan J. King is a scholar working on Cancer Research, Molecular Biology, Geriatrics and Gerontology, Physiology and Oncology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (9 papers), Muscle Physiology and Disorders (3 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA modifications and cancer (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Mitochondrial Function and Pathology (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (700 citations), Geriatrics and Gerontology (66 citations), Oncology (476 citations), Molecular Biology (1.2k citations) and Molecular Medicine (57 citations). Ryan J. King has collaborated with scholars based in United States, China and India. Frequent co-authors include Pankaj K. Singh, Fang Yu, Kamiya Mehla, Surendra Kumar Shukla, Enza Vernucci, Venugopal Gunda, Jaime Abrego, Aneesha Dasgupta, Nina V. Chaika and Gennifer D. Goode. Their work appears in journals such as Cancer Letters, Oncotarget, Cancer Cell, Theranostics and Cancer Discovery.
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.