Daniel P. Walsh

1.7k citations
75 papers · 1.2k · h-index 22

Impact in

Papers in

Daniel P. Walsh

72 papers receiving 1.2k citations

Peers

Daniel P. Walsh
Comparison fields: 5 of 115
  • Agronomy and Crop Science 302
  • Ecological Modeling 124
  • Ecology 483
  • Microbiology 104
  • Small Animals 70
Replace Erik E. Osnas with:
Erik E. Osnas United States
Christopher S. Jennelle United States
Ryan J. Monello United States
Matthew L. Farnsworth United States
Scott E. Henke United States
Alastair I. Ward United Kingdom
Deana L. Clifford United States
Xavier Fernández‐Aguilar Spain
W. David Walter United States
Carsten Kirkeby Denmark
Daniel P. Walsh relative to Erik E. Osnas United States Erik E. Osnas's profile →
Citations per field
00.5×3.3×
Erik E. Osnas · 1×
Citations per year

Countries citing papers authored by Daniel P. Walsh

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel P. Walsh more than expected).

Fields of papers citing papers by Daniel P. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel P. Walsh Line = papers co-authored together Daniel 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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 200476
3 201765
4 201165
5 202052
6 202051
7 198437
8 201636
9 201831
10 202031
11 200730
12 201030
13 201029
14 201729
15 201128
16 201926
17 201624
18 201724
19
MEASUREMENT AND LEVEL OF INFRASOUND FROM WIND FARMS AND OTHER SOURCES
201223
20 201021

About Daniel P. Walsh

Daniel P. Walsh is a scholar working on Agronomy and Crop Science, Ecology, Public Health, Environmental and Occupational Health, Molecular Biology and Infectious Diseases, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (28 papers), Zoonotic diseases and public health (18 papers), Wildlife Ecology and Conservation (18 papers), Prion Diseases and Protein Misfolding (14 papers), Rangeland and Wildlife Management (10 papers), Microbial infections and disease research (9 papers), Viral Infections and Vectors (9 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Agronomy and Crop Science (302 citations), Ecological Modeling (124 citations), Ecology (483 citations), Microbiology (104 citations) and Small Animals (70 citations). Daniel P. Walsh has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robin E. Russell, Michael W. Miller, Trevor J. Hefley, Mevin B. Hooten, Thomas E. Remington, Gary C. White, David C. Bowden, W. David Walter, Matthew L. Farnsworth and Dana L. Winkelman. Their work appears in journals such as Journal of Wildlife Diseases, Journal of Wildlife Management, Ecology and Evolution, Transboundary and Emerging Diseases and Pathogens.

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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