Daniel Ryan

520 citations
17 papers · 308 · h-index 10

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Food Science top 10%
    • Salmonella and Campylobacter epidemiology

Papers in

    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 4
    • Gut microbiota and health 3
    • Bacterial Genetics and Biotechnology 7

Daniel Ryan

16 papers receiving 307 citations

Peers

Daniel Ryan
Comparison fields: 5 of 52
  • Endocrinology 79
  • Food Science 116
  • Molecular Medicine 26
  • Ecology 78
  • Genetics 73
Replace Erin M. Vasicek with:
Erin M. Vasicek United States
Mónica N. Giacomodonato Argentina
Jessica L. Dyszel United States
Wen Deng China
Preeti Garai India
Shungao Xu China
Lucía García-Pastor Spain
Deepak Chikkaballi Germany
Krzysztof Grzymajło Poland
Takayuki Konno Japan
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Citations per field
00.5×1.5×
Erin M. Vasicek · 1×
Citations per year

Countries citing papers authored by Daniel Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201561
2 202051
3 201640
4 201629
5 200119
6 201718
7 202114
8 202012
9 202411
10 201810
11 20219
12 20178
13 20247
14 20167
15 20256
16 20176
17 20250

About Daniel Ryan

Daniel Ryan is a scholar working on Molecular Biology, Genetics, Food Science, Ecology and Endocrinology, having authored 17 papers that have together received 308 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers), Vibrio bacteria research studies (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Gut microbiota and health (3 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Endocrinology (79 citations), Food Science (116 citations), Molecular Medicine (26 citations), Ecology (78 citations) and Genetics (73 citations). Daniel Ryan has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Sangeeta Jaiswal, Mrutyunjay Suar, Alexander J. Westermann, Lars Barquist, Shilpa Ray, Gopala Krishna Mannala, Tilman Schultze, Gajinder Pal Singh, Niladri Bhusan Pati and Trinad Chakraborty. Their work appears in journals such as Biochimie, Nature Communications, Nucleic Acids Research, Infection and Immunity and Biological Chemistry.

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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