Melody Toosky

592 citations
10 papers · 334 indexed · h-index 9
Topics
Tuberculosis Research and Epidemiology (3 papers)Bacterial Identification and Susceptibility Testing (2 papers)Vibrio bacteria research studies (2 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Melody Toosky

10 papers receiving 332 citations

Peers

Melody Toosky
Comparison fields: 5 of 56
  • Molecular Biology 165
  • Infectious Diseases 94
  • Epidemiology 87
  • Biomedical Engineering 60
  • Genetics 58
Replace Abdulelah A. Alqarzaee with:
Abdulelah A. Alqarzaee United States
Amy S. Gargis United States
Miranda E. Pitt Australia
Aihua Tang United States
Zoltán Magyarics Hungary
Michael P. Motley United States
Colleen E. Harty United States
Coloma Costas Spain
Brittany A. Fleming United States
Jiří Dresler Czechia
Melody Toosky relative to Abdulelah A. Alqarzaee United States Abdulelah A. Alqarzaee's profile →
Citations per field
00.5×3.4×
Abdulelah A. Alqarzaee · 1×
Citations per year

Countries citing papers authored by Melody Toosky

Since Specialization
Citations

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

Fields of papers citing papers by Melody Toosky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melody Toosky

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 29
2 5
3 23
4 45
5 24
6 17
7 10
8 145
9 13
10 23

About Melody Toosky

Melody Toosky is a scholar working on Endocrinology, Clinical Biochemistry and Infectious Diseases, having authored 10 papers that have together received 334 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (51 citations), Infectious Diseases (94 citations) and Endocrinology (25 citations). Melody Toosky has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Babak Javid, Eric J. Rubin, Miaomiao Pan, Jessica T. Pinkham, Nina Jain, Wen Zheng, Flavia Sorrentino, Padraig Deighan, Timothy J. Abram and Weian Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Molecular Microbiology.

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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