Diane Daniel

1.4k citations
10 papers · 716 · 1 hit paper · h-index 6

Impact in

Papers in

Diane Daniel

9 papers receiving 706 citations

Diane Daniel's Hit Papers

Reproducible Summary Tables with the gtsummary Package 2021 · 591 citations
5910+1+3Years since publication100200300400500

Peers

Diane Daniel
Comparison fields: 5 of 150
  • Molecular Medicine 37
  • Infectious Diseases 113
  • Clinical Biochemistry 36
  • Applied Microbiology and Biotechnology 10
  • Critical Care and Intensive Care Medicine 22
Replace Alberto Argentiero with:
Alberto Argentiero Italy
Luis Carlos Domínguez Colombia
Gerry Hobbs United States
Milind S. Tullu India
Beatriz Perondi Brazil
Laura Becker United States
Masayuki Kakehashi Japan
Amy M. J. O’Shea United States
Zahra Ahmadinejad Iran
Nilton Alves de Rezende Brazil
Diane Daniel relative to Alberto Argentiero Italy Alberto Argentiero's profile →
Citations per field
00.5×1.5×1.9×
Alberto Argentiero · 1×
Citations per year

Countries citing papers authored by Diane Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Diane Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Reproducible Summary Tables with the gtsummary Package
Hit paper breakdown →
2021591
2 202229
3 202027
4 200527
5 201725
6 20237
7 20255
8 20234
9 19991
10 20250

About Diane Daniel

Diane Daniel is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Epidemiology and Surgery, having authored 10 papers that have together received 716 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bacterial biofilms and quorum sensing (2 papers), Genomics and Phylogenetic Studies (2 papers), Pneumonia and Respiratory Infections (2 papers), Nosocomial Infections in ICU (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Medicine (37 citations), Infectious Diseases (113 citations), Clinical Biochemistry (36 citations), Applied Microbiology and Biotechnology (10 citations) and Critical Care and Intensive Care Medicine (22 citations). Diane Daniel has collaborated with scholars based in Australia, Saudi Arabia and United Kingdom. Frequent co-authors include Michael Curry, Joseph Larmarange, Karissa Whiting, Benjamin P. Howden, Timothy P. Stinear, Han Ming Gan, Romain Guérillot, Sadequr Rahman, Stefano Giulieri and Torsten Seemann. Their work appears in journals such as mBio, Journal of Infection and Public Health, Nature Communications, Microbial Genomics and The R Journal.

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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