David G. Ryan

1.8k citations
16 papers · 1.5k · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • S100 Proteins and Annexins 4
    • RNA and protein synthesis mechanisms 4
    • RNA Interference and Gene Delivery 2
    • Retinal Development and Disorders 2
    • MicroRNA in disease regulation 2

David G. Ryan

16 papers receiving 1.5k citations

Peers

David G. Ryan
Comparison fields: 5 of 96
  • Cancer Research 351
  • Immunology 376
  • Dermatology 146
  • Microbiology 97
  • Molecular Biology 820
Replace Wera Roth with:
Wera Roth Germany
Atsunobu Takeda Japan
Irmgard S. Thorey Germany
Samantha B. Larsen United States
Yan Fan United States
Anke S. Lonsdorf Germany
Jérôme Lamartine France
Susana Garcı́a-Silva Spain
Amanda M. Burkhardt United States
Monica Peacocke United States
David G. Ryan relative to Wera Roth Germany Wera Roth's profile →
Citations per field
00.5×2×2.8×
Wera Roth · 1×
Citations per year

Countries citing papers authored by David G. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by David G. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2004390
2
MicroRNAs of the mammalian eye display distinct and overlapping tissue specificity.
2006263
3 2008251
4 2003222
5 2017122
6 200186
7 200348
8 201441
9 200635
10 200527
11 200125
12 199713
13 200910
14 19913
15
Expression of AMPA and Kainate Receptors in Off Bipolar Cells of the Ground Squirrel Retina
20101
16 20251

About David G. Ryan

David G. Ryan is a scholar working on Molecular Biology, Cancer Research, Microbiology, Immunology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Interference and Gene Delivery (2 papers), Antimicrobial Peptides and Activities (2 papers), Retinal Development and Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Enzyme Structure and Function (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (351 citations), Immunology (376 citations), Dermatology (146 citations), Microbiology (97 citations) and Molecular Biology (820 citations). David G. Ryan has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Richard L. Eckert, Robert M. Lavker, Ann‐Marie Broome, Nancy A. Robinson, Monica Ruse, Kathleen Lee, Anees Fatima, Jia Yu, Spiro Getsios and Ki-Joon Shon. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Biological Chemistry, Biochemistry, The Journal of Physiology and Biotechnology and Bioengineering.

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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