Pavithra Srinivas
- Molecular Medicine top 2%
- Pharmacology top 10%
- Epidemiology
- Infectious Diseases
- Applied Microbiology and Biotechnology top 2%
- Co-authors
- Janet WuJason M. PogueChristine KovalGretchen L. SachaChong Kin LiamKuan‐Hon LimPhilip J. H. PoiVasilios Athans
- Topics
- Bacterial Identification and Susceptibility Testing (6 papers)Antibiotics Pharmacokinetics and Efficacy (6 papers)Antibiotic Resistance in Bacteria (5 papers)
- Journals
- Clinical Infectious DiseasesAmerican Journal of TransplantationInfection Control and Hospital Epidemiology
- Partner nations
- United StatesSouth AfricaMalaysia
In The Last Decade
Pavithra Srinivas
20 papers receiving 406 citations
Peers
Comparison fields: 5 of 77
- Molecular Medicine 208
- Pharmacology 137
- Epidemiology 96
- Infectious Diseases 91
- Applied Microbiology and Biotechnology 72
Countries citing papers authored by Pavithra Srinivas
This map shows the geographic impact of Pavithra Srinivas'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 Pavithra Srinivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavithra Srinivas more than expected).
Fields of papers citing papers by Pavithra Srinivas
This network shows the impact of papers produced by Pavithra Srinivas. 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 Pavithra Srinivas. The network helps show where Pavithra Srinivas may publish in the future.
Co-authorship network of co-authors of Pavithra Srinivas
This figure shows the co-authorship network connecting the top 25 collaborators of Pavithra Srinivas. A scholar is included among the top collaborators of Pavithra Srinivas 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 Pavithra Srinivas. Pavithra Srinivas 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 | 3 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 139 | |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 26 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 105 | |
| 20 | 2 |
About Pavithra Srinivas
Pavithra Srinivas is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 23 papers that have together received 416 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Molecular Medicine (208 citations), Applied Microbiology and Biotechnology (72 citations) and Endocrinology (44 citations). Pavithra Srinivas has collaborated with scholars based in United States, South Africa and Malaysia. Frequent co-authors include Janet Wu, Jason M. Pogue, Christine Koval, Gretchen L. Sacha, Chong Kin Liam, Kuan‐Hon Lim, Philip J. H. Poi, Vasilios Athans, Stephanie M. Pouch and Elizabeth Neuner. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Transplantation 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.