Antarpreet Jutla
- Endocrinology top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Modeling and Simulation top 1%
- Infectious Diseases top 5%
- Global and Planetary Change top 5%
- Co-authors
- A. S. AkandaRita R. ColwellShafiqul IslamMoiz UsmaniMayank GangwarAnwar HuqKyle D. BrumfieldAmin Elshorbagy
- Topics
- Vibrio bacteria research studies (34 papers)Child Nutrition and Water Access (10 papers)COVID-19 epidemiological studies (9 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesBangladeshUnited Kingdom
In The Last Decade
Antarpreet Jutla
60 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrinology 684
- Pulmonary and Respiratory Medicine 417
- Modeling and Simulation 335
- Infectious Diseases 289
- Global and Planetary Change 285
Countries citing papers authored by Antarpreet Jutla
This map shows the geographic impact of Antarpreet Jutla'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 Antarpreet Jutla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antarpreet Jutla more than expected).
Fields of papers citing papers by Antarpreet Jutla
This network shows the impact of papers produced by Antarpreet Jutla. 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 Antarpreet Jutla. The network helps show where Antarpreet Jutla may publish in the future.
Co-authorship network of co-authors of Antarpreet Jutla
This figure shows the co-authorship network connecting the top 25 collaborators of Antarpreet Jutla. A scholar is included among the top collaborators of Antarpreet Jutla 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 Antarpreet Jutla. Antarpreet Jutla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 12 | |
| 11 | 39 | |
| 12 | Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patientsbreakdown → | 486 |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 21 | |
| 18 | 27 | |
| 19 | Relationship between Phytoplankton, Sea Surface Temperature and River Discharge in Bay of Bengal | 2 |
| 20 | 35 |
About Antarpreet Jutla
Antarpreet Jutla is a scholar working on Endocrinology, Modeling and Simulation and Molecular Medicine, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (34 papers), Child Nutrition and Water Access (10 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Endocrinology (684 citations), Modeling and Simulation (335 citations) and Infectious Diseases (289 citations). Antarpreet Jutla has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include A. S. Akanda, Rita R. Colwell, Shafiqul Islam, Moiz Usmani, Mayank Gangwar, Anwar Huq, Kyle D. Brumfield, Amin Elshorbagy, Chang‐Yu Wu and Sripriya Nannu Shankar. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.