Daniel L. Gallagher

101 papers receiving 2.6k citations

Peers

Daniel L. Gallagher
Comparison fields: 5 of 177
  • Health, Toxicology and Mutagenesis 575
  • Geochemistry and Petrology 221
  • Process Chemistry and Technology 91
  • Endocrine and Autonomic Systems 203
  • Pollution 335
Replace Patrick Levallois with:
Patrick Levallois Canada
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Yanjie Wang China
Phillip L. Williams United States
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Takashi Asano Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel L. Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006298
2 2018157
3 2016100
4 1992100
5 201082
6 201577
7 198375
8 202074
9 201272
10 199264
11 199662
12 201557
13 199950
14 202247
15 199447
16 201145
17 201444
18 201444
19 201343
20 201341

About Daniel L. Gallagher

Daniel L. Gallagher is a scholar working on Health, Toxicology and Mutagenesis, Food Science, Water Science and Technology, Environmental Engineering and Pollution, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Water Treatment and Disinfection (13 papers), Listeria monocytogenes in Food Safety (11 papers), Groundwater flow and contamination studies (10 papers), Odor and Emission Control Technologies (10 papers), Food Safety and Hygiene (10 papers), Sensory Analysis and Statistical Methods (9 papers), Olfactory and Sensory Function Studies (9 papers) and Biochemical Analysis and Sensing Techniques (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (575 citations), Geochemistry and Petrology (221 citations), Process Chemistry and Technology (91 citations), Endocrine and Autonomic Systems (203 citations) and Pollution (335 citations). Daniel L. Gallagher has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Andrea M. Dietrich, Scott E. Brietzke, Susan E. Duncan, George M. Simmons, Marc Edwards, William G. Reay, Sean F. O’Keefe, Régis Pouillot, Janell Kause and Linsey C. Marr. Their work appears in journals such as Water Research, The Science of The Total Environment, Journal of Environmental Engineering, Environmental Science & Technology and Journal of Food Protection.

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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