Priya Nori
- Applied Microbiology and Biotechnology top 0.5%
- Infectious Diseases top 5%
- Epidemiology
- Molecular Medicine top 5%
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Rachel BartashKelsie CowmanTheresa MadalineMichael StevensInessa GendlinaGregory WestonWendy SzymczakYi Guo
- Topics
- Antibiotic Use and Resistance (23 papers)Bacterial Identification and Susceptibility Testing (15 papers)COVID-19 Clinical Research Studies (8 papers)
- Cited by
- Applied Microbiology and BiotechnologyMolecular MedicineCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesScientific Reports
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Priya Nori
43 papers receiving 611 citations
Peers
Comparison fields: 5 of 85
- Applied Microbiology and Biotechnology 325
- Infectious Diseases 251
- Epidemiology 151
- Molecular Medicine 100
- Critical Care and Intensive Care Medicine 93
Countries citing papers authored by Priya Nori
This map shows the geographic impact of Priya Nori'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 Priya Nori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Nori more than expected).
Fields of papers citing papers by Priya Nori
This network shows the impact of papers produced by Priya Nori. 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 Priya Nori. The network helps show where Priya Nori may publish in the future.
Co-authorship network of co-authors of Priya Nori
This figure shows the co-authorship network connecting the top 25 collaborators of Priya Nori. A scholar is included among the top collaborators of Priya Nori 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 Priya Nori. Priya Nori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 203 | |
| 15 | 47 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 14 |
About Priya Nori
Priya Nori is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Health Informatics, having authored 48 papers that have together received 627 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (23 papers), Bacterial Identification and Susceptibility Testing (15 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (325 citations), Molecular Medicine (100 citations) and Critical Care and Intensive Care Medicine (93 citations). Priya Nori has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Rachel Bartash, Kelsie Cowman, Theresa Madaline, Michael Stevens, Inessa Gendlina, Gregory Weston, Wendy Szymczak, Yi Guo, Payal Patel and Marilou Corpuz. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.
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.