Ryan Eckert
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
- Co-authors
- Jennifer Huberty (18 shared papers)Ruben A. Mesa (18 shared papers)Linda Larkey (10 shared papers)Krisstina Gowin (9 shared papers)Amylou C. Dueck (4 shared papers)Heidi Kosiorek (6 shared papers)Jonathan Kurka (2 shared papers)Megan Puzia (3 shared papers)
- Journals
- Blood (4 papers)Integrative Cancer Therapies (3 papers)Strength and conditioning journal (2 papers)PAIN Reports (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesGreeceHungary
In The Last Decade
Ryan Eckert
31 papers receiving 386 citations
Peers
Comparison fields: 5 of 61
- Genetics 84
- Applied Psychology 32
- Hematology 60
- Clinical Psychology 69
- Oncology 57
Countries citing papers authored by Ryan Eckert
This map shows the geographic impact of Ryan Eckert'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 Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Eckert more than expected).
Fields of papers citing papers by Ryan Eckert
This network shows the impact of papers produced by Ryan Eckert. 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 Eckert. The network helps show where Ryan Eckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Eckert, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2019 | 56 | |
| 3 | Retinoid X receptor-specific retinoids inhibit the ability of retinoic acid receptor-specific retinoids to increase the level of insulin-like growth factor binding protein-3 in human ectocervical epithelial cells. | 1996 | 32 |
| 4 | 2018 | 31 | |
| 5 | 2019 | 25 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2016 | 5 | |
| 18 | Training Strategies to Optimize Cardiovascular Durability and Life Expectancy. | 2023 | 5 |
| 19 | 2016 | 4 | |
| 20 | 2020 | 4 |
About Ryan Eckert
Ryan Eckert is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Clinical Psychology, having authored 32 papers that have together received 394 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Cancer survivorship and care (4 papers), Mindfulness and Compassion Interventions (3 papers), Kruppel-like factors research (2 papers), Shoulder Injury and Treatment (2 papers), COVID-19 and Mental Health (2 papers), Acute Myeloid Leukemia Research (2 papers) and Physical Activity and Health (2 papers). The work is most often cited by research in Genetics (84 citations), Applied Psychology (32 citations), Hematology (60 citations), Clinical Psychology (69 citations) and Oncology (57 citations). Ryan Eckert has collaborated with scholars based in United States, Greece and Hungary. Frequent co-authors include Jennifer Huberty, Ruben A. Mesa, Linda Larkey, Krisstina Gowin, Amylou C. Dueck, Heidi Kosiorek, Jonathan Kurka, Megan Puzia, Sue A. Rodríguez De Jesús and Wonsuk Yoo. Their work appears in journals such as Blood, Integrative Cancer Therapies, Strength and conditioning journal, PAIN Reports and Cancer 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.