Priyanka Kachroo
- Molecular Biology
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Food Science top 10%
- Co-authors
- Ivan IvanovYasushi MinamotoScot E. DowdMelissa E. MarkelAudrey K. CookLinda ToressonJosé F. García-MazcorroJan S. Suchodolski
- Topics
- Streptococcal Infections and Treatments (11 papers)Antimicrobial Resistance in Staphylococcus (11 papers)Bacterial Identification and Susceptibility Testing (4 papers)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Priyanka Kachroo
17 papers receiving 632 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 357
- Infectious Diseases 273
- Public Health, Environmental and Occupational Health 151
- Genetics 112
- Food Science 112
Countries citing papers authored by Priyanka Kachroo
This map shows the geographic impact of Priyanka Kachroo'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 Priyanka Kachroo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Kachroo more than expected).
Fields of papers citing papers by Priyanka Kachroo
This network shows the impact of papers produced by Priyanka Kachroo. 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 Priyanka Kachroo. The network helps show where Priyanka Kachroo may publish in the future.
Co-authorship network of co-authors of Priyanka Kachroo
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Kachroo. A scholar is included among the top collaborators of Priyanka Kachroo 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 Priyanka Kachroo. Priyanka Kachroo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 17 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 80 | |
| 14 | 6 | |
| 15 | 359 | |
| 16 | Functional Analyses of the Molecular Mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia | 1 |
| 17 | 15 | |
| 18 | 40 |
About Priyanka Kachroo
Priyanka Kachroo is a scholar working on Infectious Diseases, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 644 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (11 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Infectious Diseases (273 citations), Equine (16 citations) and Reproductive Medicine (60 citations). Priyanka Kachroo has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Ivan Ivanov, Yasushi Minamoto, Scot E. Dowd, Melissa E. Markel, Audrey K. Cook, Linda Toresson, José F. García-Mazcorro, Jan S. Suchodolski, Romy M. Heilmann and Stefan Unterer. Their work appears in journals such as PLoS ONE, The FASEB Journal and Journal of Clinical 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.