Daisy A. John
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 1
-
- Gestational Diabetes Research and Management 1
- Co-authors
- Giridhara R. Babu (6 shared papers)Sonalini Khetrapal (2 shared papers)K.M. Venkat Narayan (1 shared paper)Anita Sudhir Desai (1 shared paper)Vasanthapuram Ravi (1 shared paper)Manjunatha M. Venkataswamy (1 shared paper)Eunice Lobo (2 shared papers)Eugene Oteng‐Ntim (1 shared paper)
- Journals
- EClinicalMedicine (1 paper)BMC Pregnancy and Childbirth (1 paper)Public health reviews (1 paper)BMC Health Services Research (1 paper)Frontiers in Sustainable Food Systems (1 paper)
- Partner nations
- IndiaPhilippinesUnited Kingdom
In The Last Decade
Daisy A. John
6 papers receiving 338 citations
Daisy A. John's Hit Papers
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 24
- General Agricultural and Biological Sciences 32
- Obstetrics and Gynecology 18
- Plant Science 95
- Agronomy and Crop Science 25
Countries citing papers authored by Daisy A. John
This map shows the geographic impact of Daisy A. John'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 Daisy A. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy A. John more than expected).
Fields of papers citing papers by Daisy A. John
This network shows the impact of papers produced by Daisy A. John. 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 Daisy A. John. The network helps show where Daisy A. John may publish in the future.
Co-authors
The 16 scholars most cited alongside Daisy A. John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Lessons From the Aftermaths of Green Revolution on Food System and Health Hit paper breakdown → | 2021 | 225 |
| 2 | 2020 | 49 | |
| 3 | 2021 | 49 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2017 | 0 |
About Daisy A. John
Daisy A. John is a scholar working on Modeling and Simulation, Obstetrics and Gynecology, Finance, Nutrition and Dietetics and Infectious Diseases, having authored 7 papers that have together received 355 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Child Nutrition and Water Access (1 paper), Data-Driven Disease Surveillance (1 paper), Agriculture Sustainability and Environmental Impact (1 paper), Gestational Diabetes Research and Management (1 paper), Food Security and Health in Diverse Populations (1 paper) and Healthcare Systems and Reforms (1 paper). The work is most often cited by research in Modeling and Simulation (24 citations), General Agricultural and Biological Sciences (32 citations), Obstetrics and Gynecology (18 citations), Plant Science (95 citations) and Agronomy and Crop Science (25 citations). Daisy A. John has collaborated with scholars based in India, Philippines and United Kingdom. Frequent co-authors include Giridhara R. Babu, Sonalini Khetrapal, K.M. Venkat Narayan, Anita Sudhir Desai, Vasanthapuram Ravi, Manjunatha M. Venkataswamy, Eunice Lobo, Eugene Oteng‐Ntim, Laura Oakley and Sanjay Kinra. Their work appears in journals such as EClinicalMedicine, BMC Pregnancy and Childbirth, Public health reviews, BMC Health Services Research and Frontiers in Sustainable Food Systems.
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.