Daniel J. Guth

478 citations
19 papers · 353 indexed · h-index 12
Topics
Carcinogens and Genotoxicity Assessment (5 papers)Air Quality and Health Impacts (3 papers)Statistical Methods and Bayesian Inference (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Daniel J. Guth

19 papers receiving 338 citations

Peers

Daniel J. Guth
Comparison fields: 5 of 100
  • Health, Toxicology and Mutagenesis 166
  • Pulmonary and Respiratory Medicine 58
  • Cancer Research 47
  • Molecular Biology 36
  • Pharmacology 32
Replace Masuo Tobe with:
Masuo Tobe Japan
Edward J. Fairchild United States
Elizabeth A. Maull United States
Nancy B. Sussman United States
T. R. Tyler United States
James J. Freeman United States
B. K. J. Leong United States
Melissa Vincent United States
Ley Cody Smith United States
A Stárek Poland
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Citations per field
00.5×6.4×
Masuo Tobe · 1×
Citations per year

Countries citing papers authored by Daniel J. Guth

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Guth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Guth

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Guth. A scholar is included among the top collaborators of Daniel J. Guth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Guth. Daniel J. Guth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 22
3 7
4 18
5 9
6 4
7 1
8 22
9 25
10 11
11 15
12
Is gastro-intestinal mucus an ion-selective barrier?
11
13 30
14 6
15 31
16 61
17 18
18 26
19 35

About Daniel J. Guth

Daniel J. Guth is a scholar working on Chemical Health and Safety, Filtration and Separation and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 353 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Air Quality and Health Impacts (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Chemical Health and Safety (8 citations), Health, Toxicology and Mutagenesis (166 citations) and Cancer Research (47 citations). Daniel J. Guth has collaborated with scholars based in United States and Germany. Frequent co-authors include Darren L. Warren, J A Last, Jerold A. Last, John Cairns, Harvey D. Blankespoor, Douglas G. Simpson, Raymond J. Carroll, Haibo Zhou, Richard D. Mavis and Dallas M. Hyde. Their work appears in journals such as American Journal of Ophthalmology, Toxicology and Applied Pharmacology and Toxicological Sciences.

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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