Pratik Shah
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Biomedical Engineering top 10%
- Clinical Biochemistry top 1%
- Epidemiology top 10%
- Co-authors
- Vance G. FowlerBatu K. Sharma‐KuinkelEmily M. EichenbergerThomas L HollandManuela CarugatiNicholas TurnerStacey A. MaskarinecJianying Hu
- Topics
- AI in cancer detection (7 papers)Antimicrobial Resistance in Staphylococcus (5 papers)Dental Radiography and Imaging (5 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Pratik Shah
31 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 905
- Infectious Diseases 772
- Biomedical Engineering 323
- Clinical Biochemistry 322
- Epidemiology 262
Countries citing papers authored by Pratik Shah
This map shows the geographic impact of Pratik Shah'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 Pratik Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratik Shah more than expected).
Fields of papers citing papers by Pratik Shah
This network shows the impact of papers produced by Pratik Shah. 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 Pratik Shah. The network helps show where Pratik Shah may publish in the future.
Co-authorship network of co-authors of Pratik Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Pratik Shah. A scholar is included among the top collaborators of Pratik Shah 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 Pratik Shah. Pratik Shah 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 | 5 | |
| 4 | 4 | |
| 5 | 351 | |
| 6 | 294 | |
| 7 | Methicillin-resistant Staphylococcus aureus: an overview of basic and clinical researchbreakdown → | 1377 |
| 8 | Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection. | 23 |
| 9 | 10 | |
| 10 | 34 | |
| 11 | 44 | |
| 12 | 12 | |
| 13 | 15 | |
| 14 | 27 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | Brownian motion curve-based textural classification and its application in cancer diagnosis. | 13 |
| 18 | 18 | |
| 19 | 17 | |
| 20 | 13 |
About Pratik Shah
Pratik Shah is a scholar working on General Dentistry, Health Informatics and Periodontics, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Dental Radiography and Imaging (5 papers). The work is most often cited by research in Health Informatics (212 citations), Clinical Biochemistry (322 citations) and Infectious Diseases (772 citations). Pratik Shah has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Vance G. Fowler, Batu K. Sharma‐Kuinkel, Emily M. Eichenberger, Thomas L Holland, Manuela Carugati, Nicholas Turner, Stacey A. Maskarinec, Jianying Hu, Stefan Harrer and Bhavna Antony. Their work appears in journals such as Nature Reviews Microbiology, Clinical Infectious Diseases and Infection and Immunity.
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.