Ryan Golden

546 citations
9 papers · 224 · h-index 4

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • CRISPR and Genetic Engineering

Papers in

Ryan Golden

8 papers receiving 222 citations

Peers

Ryan Golden
Comparison fields: 5 of 55
  • Cancer Research 93
  • Molecular Biology 170
  • Aging 2
  • Immunology 22
  • Health, Toxicology and Mutagenesis 12
Replace Masayuki Kusakabe with:
Masayuki Kusakabe Japan
Rebecca F. Lowdon United States
Thomas S Carroll United Kingdom
Ronita Nag Chaudhuri India
Qian Song China
Jiachen Xuan Australia
Jennifer Cole United States
Paul Kelly Ireland
Ana Maria Suzuki Italy
Ryan Golden relative to Masayuki Kusakabe Japan Masayuki Kusakabe's profile →
Citations per field
00.5×4.3×
Masayuki Kusakabe · 1×
Citations per year

Countries citing papers authored by Ryan Golden

Since Specialization
Citations

This map shows the geographic impact of Ryan Golden'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 Golden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Golden more than expected).

Fields of papers citing papers by Ryan Golden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Golden. 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 Golden. The network helps show where Ryan Golden may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryan Golden, 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 Golden Line = papers co-authored together Ryan Golden links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2017185
2 201021
3 20229
4 20125
5
Some functional disorders of the small intestine of clinical importance.
19521
6 20211
7 20151
8 20191
9
A Review of Multiple Sclerosis Treatments: Interferon Beta, Glatiramer Acetate, Fingolimod, and Natalizumab
20180

About Ryan Golden

Ryan Golden is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Genetics, having authored 9 papers that have together received 224 indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Neuroblastoma Research and Treatments (1 paper), MicroRNA in disease regulation (1 paper), Inflammatory Bowel Disease (1 paper), Bone health and treatments (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (93 citations), Molecular Biology (170 citations), Aging (2 citations), Immunology (22 citations) and Health, Toxicology and Mutagenesis (12 citations). Ryan Golden has collaborated with scholars based in United States. Frequent co-authors include Vincent S. Tagliabracci, Andres Ramirez-Martinez, Joshua T. Mendell, Tuo Li, Xiang Chen, Vanessa Schmid, Tsung-Cheng Chang, Zhijian J. Chen, Juliane Braun and Jiaxi Wu. Their work appears in journals such as Clinical Orthopaedics and Related Research, Ecotoxicology and Environmental Safety, The American Journal of Gastroenterology, Nature and Gynecologic Oncology.

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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