Tonya Scardina

430 citations
14 papers · 181 indexed · h-index 6
Topics
Pneumonia and Respiratory Infections (6 papers)Antibiotic Use and Resistance (4 papers)Clostridium difficile and Clostridium perfringens research (3 papers)
Partner nations
United States

In The Last Decade

Tonya Scardina

13 papers receiving 178 citations

Peers

Tonya Scardina
Comparison fields: 5 of 58
  • Epidemiology 74
  • Infectious Diseases 60
  • Pulmonary and Respiratory Medicine 54
  • Molecular Medicine 46
  • Pharmacology 29
Replace Rebecca Sutherland with:
Rebecca Sutherland United Kingdom
Zeynep Türe Türkiye
Ana Motos Spain
Maria Panagiota Almyroudi Greece
Sevitha Bhat India
Elsa Gonçalves Portugal
M Rylander Sweden
Georgios Schinas Greece
Helen M. Crowe United States
V. G. Gusarov Russia
Tonya Scardina relative to Rebecca Sutherland United Kingdom Rebecca Sutherland's profile →
Citations per field
00.5×2.9×
Rebecca Sutherland · 1×
Citations per year

Countries citing papers authored by Tonya Scardina

Since Specialization
Citations

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

Fields of papers citing papers by Tonya Scardina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya Scardina

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 6
5 9
6 5
7 3
8 9
9 4
10 4
11 5
12 11
13 96
14 26

About Tonya Scardina

Tonya Scardina is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Epidemiology, having authored 14 papers that have together received 181 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Antibiotic Use and Resistance (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (26 citations), Molecular Medicine (46 citations) and Critical Care and Intensive Care Medicine (24 citations). Tonya Scardina has collaborated with scholars based in United States. Frequent co-authors include Larry H. Danziger, Dustin R. Fraidenburg, Eric Wenzler, Sameer Patel, Paul C. Schreckenberger, Stuart Johnson, William Adams, Larry K. Kociolek, Xiaotian Zheng and Shan Sun. Their work appears in journals such as PEDIATRICS, Clinical Microbiology Reviews and Infection Control and Hospital Epidemiology.

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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