Phillip J. Daschner

1.1k total citations
11 papers, 875 citations indexed

About

Phillip J. Daschner is a scholar working on Molecular Biology, Surgery and Infectious Diseases. According to data from OpenAlex, Phillip J. Daschner has authored 11 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Infectious Diseases. Recurrent topics in Phillip J. Daschner's work include Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Toxic Organic Pollutants Impact (2 papers). Phillip J. Daschner is often cited by papers focused on Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Toxic Organic Pollutants Impact (2 papers). Phillip J. Daschner collaborates with scholars based in United States, France and United Kingdom. Phillip J. Daschner's co-authors include Henry P. Ciolino, Grace Chao Yeh, Thomas T. Y. Wang, C A Plouzek, Roberto Flores, Christopher J. MacDonald, Amit Kumar, Chrysi Sergaki, Gary D. Wu and Harry Sokol and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Phillip J. Daschner

11 papers receiving 853 citations

Peers

Phillip J. Daschner
Comparison fields: 5 of 92
  • Molecular Biology 426
  • Health, Toxicology and Mutagenesis 193
  • Pharmacology 173
  • Cancer Research 144
  • Oncology 125
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Citations per field, relative to Phillip J. Daschner
Phillip J. Daschner · 1×
Citations per year, relative to Phillip J. Daschner
Phillip J. Daschner · 1×

Countries citing papers authored by Phillip J. Daschner

Since Specialization
Citations

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

Fields of papers citing papers by Phillip J. Daschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip J. Daschner

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Daschner. A scholar is included among the top collaborators of Phillip J. Daschner 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 Phillip J. Daschner. Phillip J. Daschner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 7
2 7
3 7
4 8
5 1
6 7
7 11
8 80
9 302
10 207
11
Resveratrol inhibits transcription of CYP1A1 in vitro by preventing activation of the aryl hydrocarbon receptor.
238

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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