Ryan Dickerson

883 citations
15 papers · 668 indexed · h-index 12

Impact in

Papers in

Ryan Dickerson

15 papers receiving 647 citations

Peers

Ryan Dickerson
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 118
  • Physiology 177
  • Rehabilitation 41
  • Genetics 148
  • Molecular Biology 319
Replace Melvin Ambele with:
Melvin Ambele South Africa
Sarah J. Morgan United States
Camille Garcia France
Silvia Galván-Peña United States
Matheus Ferracini Brazil
Yidan Chen China
Rick L. Horetsky United States
Jing Shao China
Angels Díaz‐Ramos Spain
Aiping Liu United States
Ryan Dickerson relative to Melvin Ambele South Africa Melvin Ambele's profile →
Citations per field
00.5×4.4×
Melvin Ambele · 1×
Citations per year

Countries citing papers authored by Ryan Dickerson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Dickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 202416
2 20202
3 202021
4 202068
5 2019157
6 201968
7 201712
8 20173
9 201636
10 2015172
11 201413
12 201215
13 201256
14 201128
15
Differential silver staining in lymphocytes and lymphoblastoid cell cultures.
19881

About Ryan Dickerson

Ryan Dickerson is a scholar working on Rehabilitation, Complementary and alternative medicine, Occupational Therapy, Physiology and Cell Biology, having authored 15 papers that have together received 668 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Papaya Research and Applications (3 papers), Muscle metabolism and nutrition (3 papers), Adipose Tissue and Metabolism (3 papers), Virus-based gene therapy research (2 papers), Wound Healing and Treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (118 citations), Physiology (177 citations), Rehabilitation (41 citations), Genetics (148 citations) and Molecular Biology (319 citations). Ryan Dickerson has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Sashwati Roy, Chandan K. Sen, Scott Chaffee, Soma Datta, John Pieracci, Gayle M. Gordillo, Savita Khanna, Alex Buga, Jeff S. Volek and Parker N. Hyde. Their work appears in journals such as Antioxidants and Redox Signaling, The Journal of Immunology, Human Gene Therapy Methods, Wound Repair and Regeneration and Journal of the American College of Nutrition.

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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