Daniel J. Ryan

771 citations
29 papers · 558 · h-index 13

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

Daniel J. Ryan

28 papers receiving 540 citations

Peers

Daniel J. Ryan
Comparison fields: 5 of 108
  • Spectroscopy 272
  • Instrumentation 26
  • Biophysics 35
  • Analytical Chemistry 48
  • Molecular Biology 224
Replace Dmitry Grinfeld with:
Dmitry Grinfeld Germany
Jun Tamura Japan
Yasuhiro Mizutani Japan
Mikael Lassen Denmark
Stefan L. Luxembourg Netherlands
Kosmas V. Kepesidis Germany
Tetsuo Iwata Japan
James A. Lott United States
A. Ishikawa Japan
Daniel J. Ryan relative to Dmitry Grinfeld Germany Dmitry Grinfeld's profile →
Citations per field
00.5×2×3×3.7×
Dmitry Grinfeld · 1×
Citations per year

Countries citing papers authored by Daniel J. Ryan

Since Specialization
Citations

This map shows the geographic impact of Daniel J. 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 J. 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 J. Ryan more than expected).

Fields of papers citing papers by Daniel J. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018138
2 202152
3 201950
4 201948
5 201844
6 201731
7
Intelligent control of life support systems for space habitats
199829
8 201527
9 202021
10 202018
11 202018
12 200413
13 200813
14 20047
15 20227
16 20167
17 20206
18 20226
19 20175
20 20213

About Daniel J. Ryan

Daniel J. Ryan is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Molecular Biology and Biomedical Engineering, having authored 29 papers that have together received 558 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (8 papers), Adaptive optics and wavefront sensing (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Calibration and Measurement Techniques (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Planetary Science and Exploration (2 papers), Advanced optical system design (2 papers) and Ion-surface interactions and analysis (2 papers). The work is most often cited by research in Spectroscopy (272 citations), Instrumentation (26 citations), Biophysics (35 citations), Analytical Chemistry (48 citations) and Molecular Biology (224 citations). Daniel J. Ryan has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Jeffrey M. Spraggins, Richard M. Caprioli, Boone M. Prentice, Eric C. Spivey, Kuangnan Qian, Raf Van de Plas, William Perry, Andy Weiss, Eric P. Skaar and Stuart E. Smith. Their work appears in journals such as Analytical Chemistry, Energy & Fuels, Soft Matter, Journal of Proteome Research and Journal of Mass Spectrometry.

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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