Ryan Eckert

604 citations
32 papers · 379 · h-index 12

Impact in

    • Digital Mental Health Interventions
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 9
    • COVID-19 and Mental Health 6
    • Mindfulness and Compassion Interventions 5

Ryan Eckert

30 papers receiving 371 citations

Peers

Ryan Eckert
Comparison fields: 5 of 71
  • Applied Psychology 84
  • Genetics 85
  • Hematology 69
  • Clinical Psychology 110
  • Oncology 72
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Citations per year

Countries citing papers authored by Ryan Eckert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan Eckert Line = papers co-authored together Ryan Eckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 201954
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.
199632
4 201830
5 201924
6 202019
7 201619
8 201418
9 201818
10 202014
11 201913
12 202013
13 20219
14 20228
15 20165
16 20225
17
Training Strategies to Optimize Cardiovascular Durability and Life Expectancy.
20235
18 20165
19 20204
20 20164

About Ryan Eckert

Ryan Eckert is a scholar working on Genetics, Clinical Psychology, Hematology, Oncology and Applied Psychology, having authored 32 papers that have together received 379 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), COVID-19 and Mental Health (6 papers), Mindfulness and Compassion Interventions (5 papers), Acute Myeloid Leukemia Research (4 papers), Digital Mental Health Interventions (4 papers), Physical Activity and Health (3 papers), Cancer survivorship and care (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Applied Psychology (84 citations), Genetics (85 citations), Hematology (69 citations), Clinical Psychology (110 citations) and Oncology (72 citations). Ryan Eckert has collaborated with scholars based in United States, Luxembourg and Hungary. Frequent co-authors include Jennifer Huberty, Ruben A. Mesa, Linda Larkey, Krisstina Gowin, Heidi Kosiorek, Amylou C. Dueck, 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, Contemporary Clinical Trials 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.

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