David P. Walsh

44 papers receiving 1.1k citations

Peers

David P. Walsh
Comparison fields: 5 of 121
  • Pharmaceutical Science 94
  • Physical and Theoretical Chemistry 114
  • Biomaterials 162
  • Biomedical Engineering 248
  • Molecular Biology 362
Replace Katsuaki Inoue with:
Katsuaki Inoue Japan
Sylwia Rodziewicz‐Motowidło Poland
Arthur J. Rowe United Kingdom
Isidro E. Zarraga United States
Tetsuo Sasaki Japan
Giuseppe Arcòvito Italy
Yatin R. Gokarn United States
Thomas W. Patapoff United States
Susanta Kumar Sarkar United States
Rozane F. Turchiello Brazil
David P. Walsh relative to Katsuaki Inoue Japan Katsuaki Inoue's profile →
Citations per field
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Citations per year

Countries citing papers authored by David P. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by David P. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 2016110
3 201368
4 201965
5 201557
6 201855
7 201853
8 201948
9 201747
10 201747
11 201847
12 199242
13 201932
14
Cosmic radio intensities at 1.225 and 2.0 mc measured up to an altitude of 1700 km.
196431
15 202129
16 200427
17 196425
18 201725
19 196519
20 200918

About David P. Walsh

David P. Walsh is a scholar working on Astronomy and Astrophysics, Physical and Theoretical Chemistry, Biomaterials, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Photonic and Optical Devices (6 papers), Ionosphere and magnetosphere dynamics (5 papers), Crystallization and Solubility Studies (4 papers), Crystallography and molecular interactions (4 papers), Silk-based biomaterials and applications (4 papers), Bone Tissue Engineering Materials (4 papers) and Advanced Fiber Optic Sensors (4 papers). The work is most often cited by research in Pharmaceutical Science (94 citations), Physical and Theoretical Chemistry (114 citations), Biomaterials (162 citations), Biomedical Engineering (248 citations) and Molecular Biology (362 citations). David P. Walsh has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Andreas Heise, Sally‐Ann Cryan, Fergal J. O’Brien, Rosanne M. Raftery, Caitríona M. O’Driscoll, Joanna McCarthy, Silvia Melgar, Dolores Remedios Serrano, Anne Marie Healy and Irene Mencía Castaño. Their work appears in journals such as Radio Science, International Journal of Pharmaceutics, Sensors and Actuators A Physical, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Controlled Release.

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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